姓名:
张捷
职位:
教授(杰出人才)
电话:
所属:
主要专业方向:
综合管理
个人简介
研究成果
项目信息
所授课程

主要工作与贡献

学术科研与教育:

在勘探地球物理学、地震学、医疗成像、生物医药领域从事科研、发表学术论文204篇,包括Nature Communications (3), PNAS (1), Science Advance (1),两篇学术论文入选勘探地球物理学顶级学刊Geophysics杂志“80年里最有影响力的50篇学术论文”。在勘探地球物理学领域,首次提出采用医学的层析成像解决石油勘探的近地表问题;在地震学领域,首次提出采用快速搜索解决震源机制解问题;在医疗成像领域,采用勘探地球物理学方法解决了CT与电法联合成像、实现白血病早期诊断;在生物医药领域,采用人体血小板膜包裹纳米颗粒递送抗癌药物,在动物实验中,实现100%治愈实体肿瘤并长期免疫。

在麻省理工学院、斯坦福大学、中国科技大学分别开设了多门研究生课程,其中《Near Surface Geophysical Imaging》(12.597)成为麻省理工学院的网上经典开放课程,在麻省理工学院和斯坦福大学参与联合培养了9名地球物理学博士研究生,在中国科技大学培养了12名地球物理学硕士研究生,20名地球物理学博士研究生。

产业化实践:

(1)石油勘探:

1998年创立了在美国石油勘探领域的首个华人科技企业GeoTomo,在企业25年的发展过程中,领导公司研发了野外勘探、地震资料处理、地下构造成像、地质解释等方面的12套软件系统,收购了两家著名跨国企业,开辟了60个国家的业务市场。该企业的两位科学家当选美国国家工程院院士,一位当选欧洲科学院院士,四位入选国家人才计划回国工作。

(2)医疗成像:

1999年联合创立了美国医疗成像领域的科技企业Miles Medical,帮助医疗行业建立数字化标准,领导企业进入数字化成像时代,研发CR和DR数字化X光设备,其中MetriScan骨密度仪成为中国医院和体检中心的主要设备之一。据中国老年人协会统计,至2020年,中国用户量达到2000万人次。

(3)生物医药:

2016年和2017年在美国加州圣地亚哥市分别联合创立了Cellics和Cello生物医药公司,领导Cellics开发了一款用于肺炎急救的仿生纳米药物,获得美国FDA临床实验批准;领导Cello公司开发了11款抗癌药物,其中首款癌症疫苗获得美国FDA临床实验批准。Cello公司已落地苏州工业园区,从事新药研发和临床实验。

(4)人工智能:

2022年分别在合肥市和深圳市,创立八方地动科技有限公司,采用地震仪记录交通信号,应用人工智能技术实现实时监测地面车流、地面道路质量、地下构造变化,创立全球交通监控新技术和新标准。

社会工作贡献:

2022年分别在合肥市和深圳市,创立八方地动科技有限公司,采用地震仪记录交通信号,应用人工智能技术实现实时监测地面车流、地面道路质量、地下构造变化,创立全球交通监控新技术和新标准。

作为国际勘探地球物理学学会(SEG)执行副主席,为120个国家会员提供科技交流的服务平台,特别是在中国建立了该学会执行机构,加强了中国地球物理学家与国际同行的交流。作为麻省理工学院客访指导委员会成员,八年内帮助学校管理层建立发展战略、解决突发危机,帮助斯隆商学院创办了亚洲商学院并担任执行董事。作为中国科技大学的教授,创立了斯坦福大学-中科大-麻省理工学院(SUM)联盟,为三校学生、教授、管理层交流建立了平台。

工作经历

2018-2023: 中国科学技术大学地球和空间科学院,地球物理学大师讲席教授(兼职)

2011-2018: 中国科学技术大学地球和空间科学院,国家“千人计划”教授(全职)

2009-2011: 美国麻省理工学院地球、大气与空间科学系,讲席教授 美国斯坦福大学地球物理学系,客访教授

1997-1998: 美国Blackhawk Geometrics地球物理工程公司,资深科学家,经理,总裁

1996-1997: 美国麻省理工学院地球、大气与空间科学系,副研究员

1994: 美国Shell石油公司,实习生

创业经历

2022: 合肥八方地动科技有限公司,创始人 深圳八方地动科技有限公司,创始人 苏州赛络生物医药有限公司,创始人

2017: 美国Cello Therapeutics Inc., 生物医药公司(加州,圣地亚哥), 创始人

2016: 美国Cellics Therapeutics Inc., 生物医药公司(加州,圣地亚哥), 创始人

1999: 美国Miles Medical医疗成像公司(加州,旧金山),创始人

1998: 美国GeoTomo勘探地球物理公司(德州,休斯顿),创始人

教育经历

1992-1996: 美国麻省理工学院地球、大气与空间科学系,地球物理学博士

1989-1992: 美国宾州州立大学地球物理与地质科学系,地震学硕士

1986-1988: 中国科学技术大学经济管理与自动控制系,经济管理学硕士研究生

1981-1986: 中国科学技术大学地球空间和科学系,地球物理学学士

社会工作

05/2021 – 现在: 美国国家科学院、工程院、医学院德州提名委员会,委员

11/2018 – 现在: 马来西亚亚洲商学院(ASB)董事会执行董事

05/2017 – 现在: 美国加州大学圣地亚哥分校生物工程、化学、医学学生职业导师

05/2016 – 现在: 美国麻省理工学院(MIT)杰出校友俱乐部,会员

08/2011 – 08/2019: 美国麻省理工学院(MIT)客访指导委员会,委员

09/2016 – 09/2017: 国际勘探地球物理学学会(SEG),第一执行副主席

09/2015 – 09/2016: 国际勘探地球物理学学会(SEG),第二执行副主席

03/2015 – 03/2016: 中国科学院院士选举委员会,地学部委员

12/2014 – 现在: 国际勘探地球物理学学会基金会,会员

01/2012 – present: 斯坦福大学-中科大-麻省理工学院(SUM)三校联盟,创办人

01/2011 – 09/2015: 国际勘探地球物理学学会中国指导委员会主席

01/2011 – 09/2015: 国际勘探地球物理学学会全球董事会,董事

04/2018: CPS/SEG 2018年国际学术大会年会,北京,大会共同主席

12/2017: SEG全波形反演学术研讨会,巴林,共同主席

06/2017: 中国微地震学术研讨会,合肥,共同主席

05/2017: SEG全波形反演学术研讨会,北京,共同主席

04/2016: SPG/SEG 2016 年国际学术大会年会, 北京, 大会共同主席

12/2015: 地球物理学压缩感知研讨会,北京,共同主席

05/2015: SEG全波形反演学术研讨会,北京,共同主席

12/2010: CPS/SEG 2010年国际学术大会年会,深圳,大会共同主席

获奖荣誉

10/2023: “姑苏创新创业领军人才”,苏州市人民政府

12/2021: “科技领军人才”,苏州市工业园区

02/2020: 获选院士,美国国家工程院(NAE)

05/2020: 获选会士,国际勘探地球物理学学会(SEG)

09/2016: 荣誉讲师,国际勘探地球物理学学会(SEG)

07/2015: “中国商业最具创意人物100”第一名,美国商业月刊《快公司》

10/2015: 杰出教育者,国际勘探地球物理学学会(SEG)

10/2012: Reginald Fessenden 科技成就奖,国际勘探地球物理学学会(SEG)

10/2010: 国家“千人计划”A类人才,中共中央组织部

09/1995: 新星奖,美国环境总署评审,美国总统颁发

06/1995: 南极探险勋章,意大利国家南极委员会(PNRA)

06/1994: 南极服务奖,美国国家基金委(NSF)

学术论文

204 Kuang, W., C. Yuan, Z. Zou, J. Zhang, and W. Zhang, 2023, Autonomous Earthquake Location via Deep Reinforcement Learning. Seismological Research Letters 2023, doi: 10.1785/0220230118

203 Kuang, W., J. Zhang, and W. Zhang, 2023, A novel deep-learning image condition for locating earthquake. Geophys. J. Int., 235: 2168–2178.

202 Wu, X., J. Ma, S. Xu, Z. Bi, J. Yang, H. Gao, D. Xie, Z. Guo, and J. Zhang, 2023, Sensing prior constraints in deep neural networks for solving geophysical problems. PNAS, 120(23), e2219573120.

201 Wang, K., J. Zhang, J. Zhang, Z. Wang, and H. Zhu, 2023, Monitoring seismicity in the southern Sichuan Basin using a machine learning workflow. Earthquake Research Advances, doi: https://doi.org/10.1016/j.eqrea.2023.100241.

200 Wang, K., J. Zhang, J. Zhang, Z. Wang, and Z. Li, 2023, An envelope-based machine learning workflow for locating earthquakes in the southern Sichuan Basin, Earthquake Research Advances, doi: https://doi.org/10.1016/j.eqrea.2023.100252.

199 Zhang, J., Z. Li, and J. Zhang, 2023, Simultaneous Seismic Phase Picking and Polarity Determination with an Attention-Based Neural Network. Seismol. Res. Lett., 94: 813–828, doi: 10.1785/0220220247.

198 Wang, H., and J. Zhang, 2023, A deep learning approach for suppressing noise in livestream earthquake data from a large seismic network. Geophys. J. Int., 233: 1546–1559.

197 Zhu, X., J. Zhang, and J. Zhang, 2023, Identification of vehicles from seismic signals using machine learning. SEG Technical Program Expanded Abstracts, 2023.

196 Ding, X., and J. Zhang, 2023, Estimating weathering layers from seismic refractions via attention-based FCN. SEG Technical Program Expanded Abstracts, 2023.

195 Zhang, J., 2022, President's Page: Looking into the world of medical imaging from the perspective of a geophysicist. The Leading Edge. 41 (6), 372-373.

194 Cao, W., Q. Li, J. Zhang, and W. Zhang, 2022, Accelerating 2D and 3D frequency-domain seismic wave modeling through interpolating frequency-domain wavefields by deep learning. Geophysics, 87 (4): T315–T328.

193 Duan, X. and J. Zhang, 2022, Reflection residual statics estimated using a high-resolution neural network. Geophysics, 87(4): U121-U134.

192 Zhang, Q., W. Zhang, X. Wu, J. Zhang, W. Kuang, and X. Si, 2022, Deep Learning for Efficient Microseismic Location using Source Migration‐based Imaging. Journal of Geophysical Research: Solid Earth, e2021JB022649.

191 Zhu, H., M. Sun, J. Zhang, 2022, Seismic Velocity Variations over Four Years (2013–2016) along the Longmenshan Faults in Sichuan, China. Bulletin of the Seismological Society of America 2022; doi: https://doi.org/10.1785/0120210183

190 Su, L., H. Wang, and J. Zhang, 2022, Amplitude enhancement of far-offset refractions via machine learning. SEG Technical Program Expanded Abstracts : 2100-2104.

189 Wang, H., and J. Zhang, 2022, 3D surface-consistent residual statics estimation by deep learning. SEG Technical Program Expanded Abstracts : 2095-2099.

188 Quimby, S., Y. Zhao, J. Zhang, 2022, Earthquake detection and focal mechanism calculation using artificial intelligence. SEG Global Meeting Abstracts : 3028-3038.

187 Kuang, W., C. Yuan, and J. Zhang, 2021, Real-time determination of earthquake focal mechanism via deep learning. Nature Communications, 12, 1432. https://doi.org/10.1038/s41467-021-21670-x

186 Bahmani, B., H. Gong, B. T. Luk, K. J. Haushalter, E. DeTeresa, M. Previti, J. Zhou, W. Gao, J. D. Bui, L. Zhang, R. Fang, and J. Zhang, 2021, Intratumoral immunotherapy using platelet cloaked nanoparticles enhances antitumor immunity in solid tumors. Nature Communications, 12(1), 1-12. https://doi.org/10.1038/s41467-021-22311-z

185 Huo, Y. H., W. Zhang, J. Zhang, 2021, Centroid moment tensor of the 2019 Mw 5.7 Changning earthquake refined using 3D Green’s functions considering surface topography. Front. Earth Sci., 9, 642721. doi: 10.3389/feart.2021.642721

184 Huo, Y., W. Zhang, J. Zhang, and H. Yang, 2021, Using microseismic events to improve the accuracy of sensor orientation for downhole microseismic monitoring. Geophysical Prospecting. 69(6), 1167-1180. https://doi.org/10.1111/1365-2478.13099

183 Zhang J., W. Kuang, X. Zhang, C. Mo, D. Zhang, 2021, Global review of induced earthquakes in oil and gas production fields. Reviews of Geophysics and Planetary Physics, 52(3): 239-265. http://www.sjdz.org.cn/cn/article/doi/10.16738/j.dqyxx.2020-027

182 Ma, Y. and J. Zhang, 2021, Velocity model building from one-shot VSP data via a convolutional neural network. SEG Technical Program Expanded Abstracts 2021. September 2021, 3360-3364. https://doi.org/10.1190/segam2021-3581912.1

181 Shen, Y., K. Wang, and J. Zhang, 2021, Improving resolution in the first-arrival traveltime tomography. SEG Technical Program Expanded Abstracts 2021. September 2021, 1922-1926. https://doi.org/10.1190/segam2021-3583896.1

180 Duan, X. and J. Zhang, 2021, Derive residual statics solution using a high-resolution neural network. SEG Technical Program Expanded Abstracts 2021. September 2021, 1485-1489. https://doi.org/10.1190/segam2021-3583898.1

179 Wang, H. and J. Zhang, 2021, Seismic noise attenuation by applying a deep learning method without noise-free labels. SEG Technical Program Expanded Abstracts 2021. September 2021, 2909-2913. https://doi.org/10.1190/segam2021-3583901.1

178 Ding, X., Jie Zhang, Ji Zhang, 2021, 3D survey geometry corrections and surface velocity mapping via deep learning. SEG Technical Program Expanded Abstracts 2021. September 2021, 1831-1835. https://doi.org/10.1190/segam2021-3584157.1

177 Zhang, J., H. Zhu, S. Yu, and J. Ma, 2020, Constructing the Seismograms of Future Earthquakes in Yunnan, China, Using Compressed Sensing: Seismological Research Letters, 2 (1): 261–274. doi: https://doi.org/10.1785/0220190382

176 Shen, Y., and J. Zhang, 2020, Refraction wavefield migration: Geophysics, 85(6), Q27-Q37.

175 Zhu, H., M. Sun, H. Fu, N. Du, J. Zhang, 2020, Training a seismogram discriminator based on ResNet: IEEE Transactions on Geoscience and Remote Sensing, 59(8), 7076-7085. https://doi.org/10.1109/TGRS.2020.3030324

174 Li, Z., J. Zhang, D. Liu, and J. Du, 2020, CT Image-Guided Electrical Impedance Tomography for Medical Imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING. Vol 39, No. 6, 1822-1832

173 Duan, X. and J. Zhang. 2020. Multi-trace first break picking using an integrated seismic and machine learning method: Geophysics, 85(4), WA269-WA277

172 Sun, M., and J. Zhang, 2020, The near-surface velocity reversal and its detection via unsupervised machine learning: Geophysics, 85(3), U55-U63

171 Ma, Y., C. Yuan, J. Zhang, 2020, Joint inversion for microseismic event locations and anisotropic parameters with the cross double-difference method in VTI media. Geophysics, 85(3), KS63-KS73

170 Tian, X., W. Zhang, X. Zhang, J. Zhang, Q. Zhang, X. Wang, and Q. Guo, 2020, Comparison of single-trace and multiple-trace polarity determination for surface microseismic data with deep learning. Seismological Research Letters, 91(3):1794-1803. https://doi.org/10.1785/0220190353

169 Kuang, W., and J. Zhang, 2020, Direct stress field estimation through waveform matching. Geophysical Journal International, 221,853-856. https://doi.org/10.1093/gji/ggaa034

168 Zhang, X., J. Zhang, C. Yuan, S. Liu, Z. Chen, W. Li, 2020, Locating induced earthquakes with a network of seismic stations in Oklahoma via a deep learning method. Scientific Reports, 10, 1941. https://doi.org/10.1038/s41598-020-58908-5

167 Jiang, W., C. A. Zelt, and J. Zhang, 2020, Detecting an underground tunnel by applying joint traveltime and waveform inversion. Journal of Applied Geophysics, 174, 103957.

166 Yuan, C., X. Zhang, X. Jia, and J. Zhang, 2020, Time-lapse Velocity Imaging via Deep Learning: Geophysical Journal International, 220, 1228-1241. https://doi.org/10.1093/gji/ggz511

165 Ding, X. and J. Zhang, 2020, Rapid high-resolution 3D seismic surface traveltime tomography: SEG Technical Program Expanded Abstracts 2020. September 2020, 1890-1894.

164 Zhang, J., 2020, Applying a joint geophysical inversion approach for medical imaging: SEG Technical Program Expanded Abstracts 2020. September 2020, 3507-3511.

163 Zhuang, J., M. Holay, J. H. Park, R. Fang, J. Zhang, L. Zhang, 2019, Nanoparticle Delivery of Immunostimulatory Agents for Cancer Immunotherapy. Theranostics, 9(25), 7826-7848. doi:10.7150/thno.37216

162 Wang, Y., and J. Zhang, 2019, Joint refraction traveltime tomography and migration for multi-layer near-surface imaging: Geophysics. 84(6), U31-U43

161 Sun, M., H. Zhu, J. Zhang, H. Fu, and X. Tian. 2019, Ground motion from Mw 1.5 to 3.9 aftershocks of the 2014 Mw 6.2 Jinggu earthquake at hypocenter distances < 45 km in Yunnan, China. Seismological Research Letters, 90(5), 1876-1888

160 Jiang, W., J. Zhang, and L. Bell, 2019, 3D seismic geometry quality control and corrections by applying machine learning: Geophysics. 84(6), P87-96

159 Wang, Y. and J. Zhang, 2019, 3D refraction traveltime migration for near surface imaging: SEG Technical Program Expanded Abstracts 2019: pp. 2848-2852

158 Duan, X. and J. Zhang, 2019, Multi-trace and multi-attribute analysis for first-break picking with the support vector machine: SEG Technical Program Expanded Abstracts 2019: pp. 2559-2563

157 Shen, Y. and J. Zhang, 2019, Applying the refraction migration method to image a deep interface in Xinjiang, China: SEG Technical Program Expanded Abstracts 2019: pp. 4307-4311

156 Ma, Y. and J. Zhang, 2019, Joint inversion for microseismic event locations and anisotropic parameters with the cross double-difference method in VTI media: SEG Technical Program Expanded Abstracts 2019: pp. 3101-3105

155 Xue, Z., J. Zhang, Y. Wang, Z. Li, 2019, The first-arrival traveltime tomography with joint minimum support and Tikhonov regularization: SEG Technical Program Expanded Abstracts 2019: pp. 2853-2857

154 Li, Z., X. Jia, and J. Zhang, 2019, Deep learning guiding first-arrival traveltime tomography: SEG Technical Program Expanded Abstracts 2019: pp. 2513-2517

153 Sun, M., H. Zhu, J. Zhang, H. Fu, X. Tian, 2019, Ground motion from small aftershocks of 2014 Mw 6.2 Jinggu earthquake at short hypocentral distances in Yunnan, China: SEG Technical Program Expanded Abstracts 2019: pp. 3131-3135

152 Zhang, X., J. Zhang, C. Yuan, S. Liu, Z. Chen, W. Li, 2018, Locating earthquakes with a network of seismic stations via a deep learning method. Preprint at https://arxiv.org/abs/1808.09603

151 Gao, H., and J. Zhang, 2018, Simultaneous denoising and interpolation of seismic data via deep learning method: Earthquake Research in China. 33 (1), 37-51.

150 Yuan, C., and J. Zhang, 2018, A feasibility study of imaging hydraulic fractures with anisotropic reverse time migration: Journal of Applied Geophysics. Vol 155, pp. 199-207.

149 Sun, M., M. D. Sacchi, and J. Zhang, 2018, Highly efficient first-arrival traveltime tomography by stochastic optimization: Geophysics. Vol. 83, No. 4, pp. R283-R296.

148 Wang, Y. and J. Zhang., 2018, 2D elastic waveform inversion for velocity and Q factor in the near surface. Acta Seismologica Sinica. 40(5), 595-608.

147 Yuan, C., X. Jia, S. Liu, and J. Zhang, 2018, Microseismic reverse time migration with a multi-cross-correlation staining algorithm for fracture imaging: Journal of Applied Geophysics, 149, 95-104.

146 Li, Z. and J. Zhang, 2018, Applying Joint Traveltime and Waveform Inversion to Image the Sichuan Basin, China: Near Surface Geophysics, 16(1), 1-9.

145 Jiang, W., and J. Zhang, 2018, 3D first-arrival traveltime tomography with modified total-variation regularization: Journal of Geophysics and Engineering, 15, 1, 207–223.

144 Ogunbo, J. N., G. Marquis, J. Zhang, and W. Wang, 2018, Joint inversion of seismic traveltime and frequency-domain airborne electromagnetic data for hydrocarbon exploration: Geophysics, 83, 2, 9-22.

143 Sun, M., J. Zhang, Y. Wang, 2018, Recognizing shingling seismic data by unsupervised machine learning: SEG Technical Program Expanded Abstracts 2018: pp. 2561-2565.

142 Zhang, X., C. Yuan, J. Zhang, S. Liu, Z. Chen, and W. Li, 2018, Automatic microseismic detection and location via the deep convolutional neural network: SEG Technical Program Expanded Abstracts 2018: pp. 3057-3061.

141 X. Duan, J. Zhang, Z. Liu, S. Liu, Z. Chen, and W. Li, 2018, Integrating seismic first-break picking methods with a machine learning approach: SEG Technical Program Expanded Abstracts 2018: pp. 2186-2190.

140 Shen, Y., M. Sun, J. Zhang, S. Liu, Z. Chen, and W. Li, 2018, Seismic trace editing by applying machine learning. SEG Technical Program Expanded Abstracts 2018: pp. 2256-2260.

139 Li, Z., J. Zhang, Z. Liu, S. Liu, Z. Chen, and W Li, 2018, Characterizing the near surface velocity structures by applying machine learning: SEG Technical Program Expanded Abstracts 2018: pp. 2712-2716.

138 Liu, Z., J. Zhang, S. Liu, Z. Chen, and W. Li, 2018, Detection of the near surface velocity reveal with the convolutional neural network: SEG Technical Program Expanded Abstracts 2018: pp. 2251-2255.

137 Wang, Y., J. Zhang, 2018, Joint refraction traveltime tomography and migration for multi-layer near surface imaging: SEG Technical Program Expanded Abstracts 2018: pp. 2717-2721.

136 Bi, Z., J. Zhang, and M. Sun, 2018, The first-arrival traveltime tomography with simultaneous sources: SEG Technical Program Expanded Abstracts 2018: pp. 2727-2731.

135 Xue, Z., J. Zhang, M. Sun, Y. Wang, 2018, Long-wavelength statics solutions for the near surface with velocity reversal: SEG Technical Program Expanded Abstracts 2018: pp. 2722-2726.

134 Kuang, W., and J. Zhang, 2018, Estimate temporal pore pressure distribution from induced seismicity in Oklahoma: SEG Technical Program Expanded Abstracts 2018: pp. 3032-3036.

133 Tian, X., J. Zhang, and W. Zhang, 2018, An effective workflow for updating 1D velocity model and event location in microseismic monitoring. 2018 CPS/SEG International Conference, Beijing, China.

132 Yuan, C., and J. Zhang, 2018, Vertial slowness constrained joint VTI velocity model and event locations inversion: CPS/SEG International Conference 2018, Beijing China.

131 Jiang, W. and J. Zhang, 2017, Imaging complex near-surface structures in Yumen oil field by joint seismic traveltime and waveform inversion: Geophysical Prospecting for Petroleum, 56, 1, 57-68.

130 Liu, Z and J. Zhang, 2017, Joint traveltime and waveform envelope inversion for near surface imaging: Pure and Applied Geophysics, 174, 3, 1269 1289.

129 Zhang, X. and J. Zhang, 2017, Model regularization for seismic traveltime tomography with an edge-preserving smoothing operator: Journal of Applied Geophysics, 138, 143-153.

128 Gao, H. and J. Zhang, 2017, 3D seismic residual statics solutions derived from refraction interferometry: Geophysical Prospecting, 65, 6, 1527-1540.

127 Feng, H., W. Zhang, J. Zhang, and X. Chen, 2017, Importance of double-pole CFS-PML for broadband seismic wave simulation and optimal parameters selection: Geophysical Journal International, 209, 2, 1148-1167.

126 Liu, Z. and J. Zhang, 2017, Joint traveltime, waveform and waveform envelope inversion for near-surface imaging: Geophysics, 82, 4, 235-244.

125 Han, S., W. Zhang, and J. Zhang, 2017, Calculating qP-wave traveltimes in 2-D TTI media by high-order fast sweeping methods with a numerical quartic equation solver: Geophysical Journal International, 210, 3, 1560–1569.

124 Sun, M., J. Zhang, and W. Zhang, 2017, Alternating the first-arrival traveltime tomography and waveform inversion for near-surface imaging: Geophysics, 82, 4, 245-257.

123 Ogunbo, J.N. and J. Zhang, 2017, Transient electromagnetic search engine for real-time imaging: Geophysics, 82, 5, 277-285.

122 Wang, Y. and J. Zhang, 2017, Pseudo 2D elastic waveform inversion for attenuation in the near surface: Journal of Applied Geophysics, 143, 129-140.

121 Tian, X., W. Zhang, and J. Zhang, 2017, Cross double-difference inversion for simultaneous velocity model update and microseismic event location: Geophysical Prospecting, 65, 51, 259-273.

120 Zhang, J., Z. Liu, M. Sun, W. Jiang, Z. Li, J. Chen, W. Zhang, W. Wang, 2017, Near surface imaging between alternating and joint traveltime, waveform, and envelope inversions. 2017 2nd SEG/DGS Near Surface Workshop, Manama, Bahrain.

119 Zhang, X., J. Zhang, and W. Zhang, 2017, Automatic microseismic event detection and location with a RMS velocity and surface data: SEG Technical Program Expanded Abstracts 2017, 2802-2807.

118 Zhu, H., and J. Zhang, 2017, Monitoring the crustal temporal variations in Yunnan, China: SEG Technical Program Expanded Abstracts 2017, 2997-3001.

117 Wang, Y., and J. Zhang, 2017, Applying refraction traveltime migration to image bedrock with high resolution: SEG Technical Program Expanded Abstracts 2017, 5443-5447.

116 Yuan, C., X. Jia, S. Liu, and J. Zhang, 2017, Multiple crosscorrelation staining reverse time migration for high-resolution fracture imaging: SEG Technical Program Expanded Abstracts 2017, 2903-2907.

115 Jiang, W., Z. Liu, and J. Zhang, 2017, Diffraction imaging using reverse time migration with poynting vectors: SEG Technical Program Expanded Abstracts 2017, 1028-1032.

114 Sun, M., J. Zhang, and M. Sacchi, 2017, Highly efficient 3D first-arrival traveltime tomography by stochastic approximation: SEG Technical Program Expanded Abstracts 2017, 2676-2680.

113 Sun, M., J. Zhang, and W. Zhang, 2017, Alternating traveltime tomography and waveform inversion for near-surface imaging: SEG Technical Program Expanded Abstracts 2017, 2596-2600.

112 Duan, X., and J. Zhang, 2017, Residual statics solution by L1 regularized inversion in common offset domain: SEG Technical Program Expanded Abstracts 2017, 2696-2700.

111 Li, Z., and J. Zhang, 2017, First-arrival traveltime tomography with long- and short-wavelength statics constraints, SEG Technical Program Expanded Abstracts 2017, 2681-2685.

110 Shen, Y., and J. Zhang, 2017, Interferometric imaging with FreeCableTM geometry: SEG Technical Program Expanded Abstracts 2017, 5963-5967.

109 Tian, X., W. Zhang, and J. Zhang, 2017, Cross double-difference inversion method for microseismic location and velocity model update: 2017 SEG Workshop: Microseismic Technologies and Applications, Hefei, China, 4-6 June 2017, 94-97.

108 Sun, M., J. Zhang, and W. Zhang, 2017, Alternating traveltime tomography and waveform inversion for near-surface imaging: SEG 2017 Workshop: Full-waveform Inversion and Beyond, 72-76.

107 Li, Z., and J. Zhang, 2017, Applying joint traveltime and waveform inversion to image the Sichuan Basin, China: SEG Workshop: Full-waveform Inversion and Beyond, 64-67.

106 Huo, Y., J. Zhang, and W. Zhang, 2017, Location accuracy improvement by using both perforation and microseismic events in sensor orientation: SEG Workshop: Microseismic Technologies and Applications, 111-114.

105 Yan, S., X. Zhang, W. Zhang, and J. Zhang, 2017, Comparison of stacking methods with a depth model or with a RMS velocity for automated microseismic event location from surface monitoring: SEG Workshop: Microseismic Technologies and Applications, 205-208.

104 Yuan, C., J. Zhang, and W. Zhang, 2017, Automatic microseismic stacking location with a multi-cross-correlation condition: SEG Workshop: Microseismic Technologies and Applications, 120-123.

103 Zhang, X., J. Zhang, F. Chu, and Y. Zhang, 2017, The application of microseismic search engine for real-time estimation of source location and focal mechanism: SEG Workshop: Microseismic Technologies and Applications, 201-204.

102 Z. Liu and J. Zhang, 2017, Utilizing Poynting vectors to emphasis low-wavenumber information for FWI: SEG Workshop: Full-waveform Inversion and Beyond, 51-54.

101 Jiang, W., J. Zhang, W. Wang, D. Zhou, and A. R. Ghazali, 2017, 3D joint seismic waveform and airborne gravity gradiometry inversion with cross-gradients constraints: SEG 2017 Workshop: Full-waveform Inversion and Beyond, 133-135.

100 Sun, M., J. Zhang, and W. Zhang, 2017, Alternating traveltime tomography and waveform inversion for near-surface imaging: SEG 2017 Workshop: Full-waveform Inversion and Beyond, Beijing, China, 20-22 November 2017, 72-76.

99 Cai, J. and J. Zhang, 2016, Full waveform modeling and inversion of physical model data: Journal of Applied Geophysics, 131, 145–153.

98 Zhang, X. and J. Zhang, 2016, Microseismic search engine for real-time estimation of source location and focal mechanism: Geophysics, 81, 5, 169-182.

97 Zhang, C. and J. Zhang, 2016, 2D seismic residual statics derived from refraction interferometry: Journal of Applied Geophysics, 130, 145–152.

96 Sun, M. and J. Zhang, 2016, Edge-preserving Traveltime Tomography with a Sparse Multiscale Imaging Constraint: Journal of Applied Geophysics, 131, 179–190.

95 Zhou, L., W. Zhang, Y. Shen, X. Chen, and J. Zhang, 2016, Location and moment tensor inversion of small earthquakes using 3D Green functions with realistic topography in Longmen Shan fault region of steep terrain: Earthquake Science, 29, 3, 139–151.

94 Tian, X., W. Zhang, and J. Zhang, 2016, Cross double-difference inversion for microseismic event location using data from a single monitoring well: Geophysics, 81, 5, 183-194.

93 Zhou, H., W. Zhang, and J. Zhang, 2016, Downhole microseismic monitoring for low signal-to-noise ratio events: Journal of Geophysics and Engineering, 13, 5, 805-816.

92 Kuang, W., M. Zoback, and J. Zhang, 2016, Estimating geomechanical parameters from microseismic plane focal mechanisms recorded during multistage hydraulic fracturing: Geophysics, 82, 1, 1-11.

91 Jiang, W., and J. Zhang, 2016, First-arrival traveltime tomography with modified total-variation regularization: Geophysical Prospecting, 65, 5, 1138–1154.

90 Li, Z., and J. Zhang, 2016, Applying joint traveltime and waveform inversion to image the Sichuan Basin, China: SEG Technical Program Expanded Abstracts 2016, 2434-2438.

89 Liu Z., and J. Zhang, 2016, Joint traveltime, waveform and waveform envelope inversion for the near-surface imaging: SEG Technical Program Expanded Abstracts 2016, 2393-2397.

88 Sun, M., J. Zhang, and W. Zhang, 2016, Improving efficiency of traveltime tomography by stochastic optimization, SEG Technical Program Expanded Abstracts 2016, 2377-2381.

87 Huo, Y., W. Zhang, and J. Zhang, 2016, Improve sensor orientation using both drop-ball and microseismic events, SEG Technical Program Expanded Abstracts 2016, 2642-2646.

86 Yuan C., and J. Zhang, 2016, 3D microseismic imaging for identifying shale sweet spot: SEG Technical Program Expanded Abstracts 2016, 2689-2693.

85 Tian, X., W. Zhang, and J. Zhang, 2016, Joint Inversion of Perforations and Microseismic Events: 78th EAGE Conference and Exhibition 2016, Extended Abstracts, DOI: 10.3997/2214-4609.201601482.

84 Jiang, W., and J. Zhang, 2016, First-arrival traveltime tomography with modified total-variation regularization: 78th EAGE Conference and Exhibition 2016, Extended Abstracts, DOI: 10.3997/2214-4609.201600736.

83 Zhu, H., X. Tian, and J. Zhang, 2016, Real-time Earthquake Search Engine with Historic Data for Database: 78th EAGE Conference and Exhibition 2016, Extended Abstracts, DOI: 10.3997/2214-4609.201601611.

82 Zhang, L., W. Zhang, and J. Zhang, 2015, Anisotropic effects on the near surface seismic imaging: Near Surface Geophysics, 13, 5, 485-493.

81 Gao, H., and J. Zhang, 2015, 3D seismic residual statics solutions by applying refraction interferometry: SEG Technical Program Expanded Abstracts 2015, 5097-5101.

80 Han, S., W. Zhang, and J. Zhang, 2015, Joint microseismic quasi-P and SH traveltime inversion for updating VTI parameters: SEG Technical Program Expanded Abstracts 2015, 442-446.

79 Jiang, W., and J. Zhang, 2015, Imaging complex near-surface land area with joint traveltime and waveform inversion: SEG Technical Program Expanded Abstracts 2015, 1441-1445.

78 Tian, X., W. Zhang, and J. Zhang, 2015, Cross double-difference inversion method for microseismic location: SEG Technical Program Expanded Abstracts 2015, 2640-2644.

77 Zhang, X., J. Zhang, and M. D. Zoback, 2015, Fast elastic full waveform inversion for microseismic location and focal mechanism: SEG Technical Program Expanded Abstracts 2015, 2517-2521.

76 Liu, Z., and J. Zhang, 2015, Joint traveltime and waveform envelope inversion for near-surface imaging: SEG Technical Program Expanded Abstracts 2015, 1154-1158.

75 Zhang, J., 2015, Explicit statics optimization in the first-arrival traveltime tomography: 77th EAGE Conference and Exhibition 2015, Extended Abstracts, DOI: 10.3997/2214-4609.201412991.

74 Han, S., W. Zhang, and J. Zhang, 2015, A high-order fast sweeping method for calculating quasi-P traveltimes in 2D TTI media: 77th EAGE Conference and Exhibition 2015, Extended Abstracts, DOI: 10.3997/2214-4609.201413001.

73 Zhou, H., and J. Zhang, 2015, Fitting the shapes of traveltime curves in downhole microseismic monitoring: 77th EAGE Conference and Exhibition 2015, Extended Abstracts, DOI: 10.3997/2214-4609.201413017.

72 Zhang, J. and X. Zhang, 2015, Full elastic waveform search engine for near surface imaging: Near-Surface Asia Pacific Conference 2015, 92-95.

71 Ogunbo, J. N., and J. Zhang, 2015, Joint seismic traveltime and TEM inversion for near surface imaging: International Workshop and Gravity, Electrical & Magnetic Methods and their Applications 2015, 509-512.

70 Wang, Y., and J. Zhang, 2015, Pseudo 2D elastic waveform inversion for velocity and Q factor in the near surface: SEG Workshop: Depth Model Building: Full-waveform Inversion 2015, 84-89.

69 Zhang, J., X. Zhang, and W. Zhang, 2015, Microseismic search engine for real-time event monitoring: Near-Surface Asia Pacific Conference 2015, 237-240.

68 Cai, J., and J. Zhang, 2015, Acoustic full waveform inversion with physical model data: SEG Workshop: Depth Model Building: Full-waveform Inversion 2015, 146-149.

67 Jiang, W., and J. Zhang, 2015, Imaging complex land structures using joint traveltime and waveform inversion: SEG Workshop: Depth Model Building: Full-waveform Inversion 2015, 142-145.

66 Liu, Z., and J. Zhang, 2015, Joint traveltime and waveform envelope inversion: SEG Workshop: Depth Model Building: Full-waveform Inversion 2015, 44-48.

65 Fan, H., L. Bell, Y. Deng, and J. Zhang, 2015, Imaging shallow complex structures in North Sea with joint traveltime and waveform inversion: SEG Workshop: Depth Model Building: Full-waveform Inversion2015, 40-43.

64 Zhou, D., W. Wang, J. Zhang, and D. R. H. O'Connell, 2015, 3D joint inversion of seismic traveltime and gravity data: A case study: International Workshop and Gravity, Electrical & Magnetic Methods and their Applications, Chengdu, China, 19-22 April 2015, 386-389.

63 Ogunbo, J. N., and J. Zhang, 2015, Joint seismic traveltime and TEM inversion for near surface imaging: International Workshop and Gravity, Electrical & Magnetic Methods and their Applications, Chengdu, China, 19-22 April 2015, 509-512.

62 Zhang, J., H. Zhang, E. Chen, Y. Zheng, W. Kuang, and X. Zhang, 2014, Real-time earthquake monitoring using a search engine method: Nature Communication, DOI: 10.1038/ncomms6664.

61 Zhang, J., and J. Chen, 2014, Joint seismic traveltime and waveform inversion for near surface imaging: SEG Technical Program Expanded Abstracts 2014, 934-937.

60 Liu, Z., and J. Zhang, 2014, Pseudo 2D elastic full waveform inversion for near surface imaging: SEG Technical Program Expanded Abstracts 2014, 1017-1021.

59 Zhang, C., J. Zhang, and Z. Sun, 2014, Refraction interferometry for residual statics solutions: SEG Technical Program Expanded Abstracts 2014, 2045-2049.

58 Zhu, H., and J. Zhang, 2014, The PageRank method for automatic detection of microseismic events: SEG Technical Program Expanded Abstracts 2014, 2163-2167.

57 Cai, J., and J. Zhang, 2014, Full waveform inversion of physical model data: SEG Technical Program Expanded Abstracts 2014, 997-1001.

56 Ogunbo, J. N., and J. Zhang, 2014, Joint seismic traveltime and TEM inversion for near surface imaging: SEG Technical Program Expanded Abstracts 2014, 2104-2108.

55 Tian, X., J. Zhang, and W. Zhang, 2014, Double difference method for locating microseismic events from a single well: SEG Technical Program Expanded Abstracts 2014, 2193-2197.

54 Wang, Y., and J. Zhang, 2014, Pseudo 2D elastic waveform inversion for Q factor in the near surface: SEG Technical Program Expanded Abstracts 2014, 2019-2023.

53 Zhang, X., W. Zhang, and J. Zhang, 2014, Elastic full waveform inversion of microseismic data for location and source mechanism: SEG Technical Program Expanded Abstracts 2014, 2256-2260.

52 Zhou, D., W. Wang, J. Zhang, and D. O’Connell, 2014, 3D joint inversion of seismic traveltime and gravity data: A case study: SEG Expended Abstracts 33, 3148-3152.

51 Gao, Y., X. Chen, H. Hu, and J. Zhang, 2013, Early electromagnetic waves from earthquake rupturing: I. Theoretical formulations: Geophysical Journal International, 192, 3, 1288-1307.

50 Gao, Y., X. Chen, H. Hu, and J. Zhang, 2013, Early electromagnetic waves from earthquake rupturing: II. Validation and numerical experiments: Geophysical Journal International, 192, 3, 1308-1323.

49 Zhang, J., X. Zhang, and W. Zhang, 2013, Microseismic search engine: SEG Technical Program Expanded Abstracts 2013, 2140-2144.

48 Zhang, W., and J. Zhang, 2013, Microseismic migration by semblance-weighted stacking and interferometry: SEG Technical Program Expanded Abstracts 2013, 2045-2049.

47 Kuang, W., W. Zhang, and J. Zhang, 2013, Locating microseismic events with S-wave data only: SEG Technical Program Expanded Abstracts 2013, 2243-2247.

46 He, L., W. Zhang, and J. Zhang, 2013, 3D wave-ray traveltime tomography for near surface imaging: SEG Technical Program Expanded Abstracts 2013, 1749-1753.

45 Liu, Z., and J. Zhang, 2013, Elastic full waveform inversion for near surface imaging: SEG Technical Program Expanded Abstracts 2013, 1904-1908.

44 Zhang, L., J. Zhang, and W. Zhang, 2013, 3D VTI traveltime tomography for near surface imaging: SEG Technical Program Expanded Abstracts 2013, 1754-1759.

43 Ogunbo, J. N., and J. Zhang, 2013, TEM search engine for fast near surface imaging. SEG Technical Program Expanded Abstracts 2013, 1878-1882.

42 Sun, M., and J. Zhang, 2013, Understanding of the first arrivals in the shape of a Christmas tree: SEG Technical Program Expanded Abstracts 2013, 1843-1846.

41 Wang, Y., and J. Zhang, 2013, Elastic early arrival waveform inversion for Q factor in the near surface: SEG Technical Program Expanded Abstracts 2013, 1733-1737.

40 Zhang, X., and J. Zhang, 2012, Edge preserving regularization for seismic traveltime tomography: SEG Technical Program Expanded Abstracts 2012, 112-115.

39 Zhang, L., J. Zhang, and W. Zhang, 2012, Anisotropic effects on the near-surface seismic imaging: SEG Technical Program Expanded Abstracts 2012, 1-5.

38 Zhang, W., and J. Zhang, 2011, Full waveform tomography with consideration for large topography variations: SEG Technical Program Expanded Abstracts 2011, 2539-2542.

37 He, L., J. Zhang, and W. Zhang, 2011, Tradeoffs in the near-surface seismic imaging solutions, SEG Technical Program Expanded Abstracts 2011, 4015-4019.

36 Kuang, W., Zhang, L., and J. Zhang, 2011, Validity of acoustic early-arrival waveform tomography for near-surface imaging, SEG Technical Program Expanded Abstracts 2011, 1450-1453.

35 Zhang, J., 2006, Refraction migration: imaging multiple refractors automatically, Expanded Abstract, SEG 71st Annual Meeting in New Orleans, Louisiana, p2426.

34 Nicanoff, L., Y. Perez, O. Yilmaz, N. Dai, and J. Zhang, 2006, A case study of imaging complex structures in the Andean Thrust Belt of Bolivia, Expanded Abstract: SEG 70th Annual Meeting in Houston, Texas, 500.

33 Zhang, J., O. Yilmaz, and N. Dai. 2006, First-arrival tomostatics and residual statics for near-surface corrections. CSPG CSEG CWLS Convention.

32 Yilmaz, O., J. Zhang, A. Pince, A. Aytunur, A. Elibuyuk, S. Uygun, T. Onaran, and A. F. Oner, 2005, A large-offset 2-D seismic survey for imaging imbricate structures in thrust belts, Expanded Abstract: SEG 70th Annual Meeting in Houston, Texas, 404.

31 Yilmaz, O., J. Zhang, and S. Yan, 2005, Acquisition and processing of large-offset seismic data: a case study from Northwest China, Expanded Abstract: SEG 70th Annual Meeting in Houston, Texas, 2581-2584.

30 Zhang, J., and O. Yilmaz, 2005, Near-surface corrections for complex structure imaging, Expanded Abstract: SEG 70th Annual Meeting in Houston, Texas, 2566-2568.

29 Zhang, J., Z. Sun, and C. Lippus, 2003, On-site instant automated refraction tomography, Proceedings, SAGEEP: Environmental and Engineering Geophysical Society, 1228-1231.

28 Zhang, J., and H. S. Kim, 2003, 3D refraction tomography for near-surface geological studies, Proceedings, SAGEEP: Environmental and Engineering Geophysical Society, 1285-1288.

27 Cheng, A., and Zhang, J., 2001, Imaging complex structures with crosswell seismology, Expanded Abstract: SEG 70th Annual Meeting in Houston, Texas, 483-486.

26 Zhang, Z., and J. Zhang, 2001, A comparative study of 2D and 3D crosswell tomography, ASEG Extended Abstracts 2001: 15th Geophysical Conference, 1-4.

25 ten Brink, US, J Zhang, TM Brocher, DA Okaya, KD Klitgord, GS Fuis, 2000, Geophysical evidence for the evolution of the California Inner Continental Borderland as a metamorphic core complex. Journal of Geophysical Research: Solid Earth 105 (B3), 5835-5857.

24 Zhang, J., and M. N. Toksoz, 1998, Nonlinear refraction traveltime tomography: Geophysics, 63, 5, 1726-1737.

23 Zhang, J., U. S. ten Brink and M. N. Toksoz, 1998, Nonlinear joint refraction and reflection traveltime tomography: J. Geophys. Res., 103, B12, 29, 743-757.

22 Zhang, J., 1998, Rapid 3D reflection raytracing for interface models, Expanded Abstract: SEG 63rd Annual Meeting in Dallas, Texas Houston, Texas, 1897-1899.

21 Zhang, J., and E. Lavely, 1998, Rapid 3D refraction and reflection raytracing: Proceedings, SAGEEP, Chicago, Illinois, Environmental and Engineering Geophysical Society, 250-255.

20 Zhang, J., and E. Lavely, 1998, Optimizing 3D refraction and reflection survey design: Proceedings, SAGEEP, Chicago, Illinois, Environmental and Engineering Geophysical Society, 125-130.

19 Zhang, J., and M. N. Toksoz, 1997, Joint refraction traveltime migration and tomography: Proceedings, SAGEEP, Reno, Nevada, Environmental and Engineering geophysical Society, 901-910.

18 Zhang, J., and B. K. Macy, 1997, Refraction traveltime tomography of Bala Kimberlite in Riley County, Kansas: Proceedings, SAGEEP, Reno, Nevada, Environmental and Engineering Geophysical Society, 755-760.

17 Zhang, J., 1997, Regularizing data in 3-D d.c. resistivity tomography: Proceedings, SAGEEP 1997, Reno, Nevada, Environmental and Engineering Geophysical Society, 911-915.

16 Zhang, J., and D. F. Morgan, 1997, Joint seismic and electrical tomography: Proceedings, SAGEEP 1997, Reno, Nevada, Environmental and Engineering Geophysical Society, 391-396.

15 Zhang, J., and D. F. Morgan, 1997, Detecting underground caves using joint seismic and electrical imaging method, Expanded Abstract: SEG 67th Annual Meeting in Dallas, Texas, 1905-1908.

14 Turpening, R., J. Zhang, C. Chauvelier, F. D. Morgan, M. N. Toksöz, J. Queen, and D. Cox, 1997, P- and S-wave tomographic images of an oil reservoir at MIT’s Michigan Test Site, Expanded Abstract: SEG 67th Annual Meeting in Dallas, Texas, 222-225.

13 Zhang, J. and C. A. Langston, 1996, Array observations of the shear-coupled PL wave: Bull. Seism. Soc. Am., 86, 2, 47-54.

12 Zhang, J., D. L. Kutrubes, and M. N. Toksoz, 1996, High-resolution shallow seismic structure imaging using grid-based nonlinear refraction traveltime tomography: Proceedings, SAGEEP, Keystone, Colorado, Environmental and Engineering Geophysical Society, 209-214.

11 Zhang, J., W. Rodi, R. L. Mackie, and W. Shi, 1996, Regularization in 3-D dc resistivity tomography: Proceedings, SAGEEP, Keystone, Colorado, Environmental and Engineering Geophysical Society, 687-692.

10 D. L. Kutrubes, J. Zhang, and J. Hager, 1996, Conventional processing techniques and nonlinear refraction traveltime tomography for Imaging Bedrock at Eastern Massachusetts coastal site: Proceedings, SAGEEP, Keystone, Colorado, Environmental and Engineering Geophysical Society, 215-220.

9 Zhang, J. and M. N. Toksoz, 1996, Nonlinear refraction traveltime tomography: SEG Technical Program Expanded Abstracts, 2011-2014.

8 Shi, W., W. Rodi, R. L. Mackie, and J. Zhang, 1996, 3-D d.c. electrical resistivity inversion with application to a contamination site in the Aberjona Watershed: Proceedings. SAGEEP, Keystone, Colorado, Environmental and Engineering Geophysical Society, 1257-1266.

7 Zhang, J. and C. A. Langston, 1995, Dipping structure under Dourbes, Belgium, determined by receiver function modeling and inversion: Bull. Seism. Soc. Am., 85, 254-268.

6 Zhang, J., R. L. Mackie, and T. R. Madden, 1995, 3-D resistivity forward modeling and inversion using conjugate gradients: Geophysics, 60, 1313-1325.

5 Zhang, J., and C. A. Langston, 1995, Constraints on oceanic lithosphere structure from deep‐focus regional receiver function inversions: J. Geophys. Res., 100, 22187-22196.

4 Cooper, A. K., G. Cochrane, J. Zhang, G. Brancolini, G. Pellis, and F. Egloff, 1995, The Antarctic crustal profile seismic project, Ross Sea, Antarctica: Antarctic Journal, 29, 5, 15-18.

3 Vedova, B. D., G. Pellis, H. Trey, J. Zhang, Cooper,A. K., Makris, J., ACRUP working group, 1995, Crustal structure of the Transantarctic Mountains, Western Ross Sea: VII ISAES Proceedings, Siena, Italy, 110-126.

2 Zhang, J., R. L. Mackie, and T. R. Madden, 1994, 3‐D resistivity forward modeling and inversion using conjugate gradients: SEG Technical Program Expanded Abstracts 1994, 377-380.

1 Kutrubes, D. L., J. Zhang, and R. L. Mackie, 1994, Predictive deconvolution of GPR data using ProMAX: IEEE Dual Use Technologies and Applications Conference Proceedings, SUNY Institute of Technology, Utica/Rome, New York, 439-446.


技术发明专利(部分):

[1]Japan Patent Granted (11/21/2014): Method and system of determining earthquake parameters and earthquake search engine:5650353. Inventors: Jie Zhang, Haijiang Zhang, Enhong Chen, Yi Zheng, and Wenhuan Kuang.

[2]US Patent Granted (10/03/2013): Method and system of determining earthquake parameters and earthquake search engine:WO2013/143222. Inventors: Jie Zhang, Haijiang Zhang, Enhong Chen, Yi Zheng, and Wenhuan Kuang.

[3]China Patent Granted (03/31/2012): Method and system of determining earthquake parameters and earthquake search engine: ZL.20121 0101264.7. Jie Zhang, Haijiang Zhang, Enhong Chen, Yi Zheng, and Wenhuan Kuang.

[4]China Patent Granted (10/10/2017): Method and system of seismic trace storing and sorting in a parallel disk array: ZL2015-1-0073212.7. Inventors: Jie Wu, Jie Zhang.

[5]China Patent Granted (05/12/2020): Method and system of CT constrained impedance imaging for medical diagnosis: ZL2018-1-0335355.4. Inventors: Jie Zhang and Ziang Li..

[6]China Patent Granted (06/20/2022): Method and system of identifying seismic finite fault rupture parameters: ZL 202110568788.6. Inventors: Jie Zhang and Huiyu Zhu.

张捷,朱慧宇:一种识别地震有限断层破裂参数的方法及系统,专利号:ZL 202110568788.6,授权通知日期:2022.6.20

[7]China Patent Granted (07/13/2022): Method of identifying abnormal seismic signals: ZL 202010893043.2. Inventors: Jie Zhang and Ji Zhang.

张捷,张基:一种识别异常地震信号的方法,专利号:ZL 202010893043.2,授权通知日期:2022.7.13

[8]China Patent Granted (09/09/2022): Method and system of obtaining seismic parameter estimation: ZL 202010834813.6. Inventors: Jie Zhang and Huiyu Zhu.

张捷,朱慧宇:一种获取地震参数估计的方法及系统,专利号:ZL 202010834813.6,授权日期:2022.9.9

[9]US Patent Pending: Surface detection and location of microseismic events and earthquakes without the use of a velocity model: 62562947. Inventors: Jie Zhang, Wei Zhang, Xiong Zhang.

[10]US Patent Pending: Method for the quality control of seismic data, first-break picking, and near-surface velocity structure characterization and imaging driven by artificial intelligence. Inventors: Jie Zhang.

[11]China Patent Pending: Alternating inversion for near surface imaging in oil and gas exploration: 201710527454.8. Inventors: Mengyao Sun and Jie Zhang.

[12]China Patent Pending: Method and system of seismic waveform processing: 201810076505.4. Inventors: Jie Zhang and Zhiyang Liu.

[13]China Patent Pending: Method and system of applying search engine with seismic traveltime data for earthquake location: Jie Zhang and Xiong Zhang.

[14]China Patent Pending: Method of predicting velocity models based on 2D or 3D VSP data: 202110611434.5. Inventors: Jie Zhang and Yangyang Ma.

张捷,马洋洋:一种基于二维或三维VSP数据预测速度模型的方法,申请号:202110611434.5,申请日期:2021.6.1

[15]China Patent Pending: Method of noise suppression of seismic data based on DnCNN neural network: 202010659999.6. Inventors: Jie Zhang and Han Wang.

张捷,王函:一种基于DnCNN神经网络对地震数据噪声压制的方法,申请号:202010659999.6,申请日期:2020.7.9。

[16]China Patent Pending: Method of 3D refracted wave field migration imaging: 202010506808.2. Inventors: Jie Zhang and Yang Shen. 张捷,沈杨:3D折射波波场偏移成像方法,申请号:202010506808.2,申请日期:2020.6.5

[17]台湾专利:血小板膜塗覆之奈米粒子及其用途PLATELET MEMBRANE COATED NANOPARTICLES AND USES THEREOF。发明人:张捷等,Pat. Application No. 110124257, filed on July 01, 2021, Taiwan。

[18]PCT Patent: PLATELET MEMBRANE COATED NANOPARTICLES AND USES THEREOF。 Inventors: Jie Zhang et al. PCT/US2021/039446, filed on June 28, 2021, PCT Application。