| Deep learning for denoising S Yu, J Ma, W Wang Geophysics 84 (6), V333-V350, 2019 | 328 | 2019 |
| Vector-based elastic reverse time migration W Wang, GA McMechan Geophysics 80 (6), S245-S258, 2015 | 150 | 2015 |
| Velocity model building with a modified fully convolutional network W Wang, F Yang, J Ma SEG International Exposition and Annual Meeting, SEG-2018-2997566, 2018 | 82 | 2018 |
| Comparison of two algorithms for isotropic elastic P and S vector decomposition W Wang, GA McMechan, Q Zhang Geophysics 80 (4), T147-T160, 2015 | 76 | 2015 |
| Velocity model building in a crosswell acquisition geometry with image-trained artificial neural networks W Wang, J Ma Geophysics 85 (2), U31-U46, 2020 | 67 | 2020 |
| Isotropic elastic reverse time migration using the phase-and amplitude-corrected vector P-and S-wavefields J Yang, H Zhu, W Wang, Y Zhao, H Zhang Geophysics 83 (6), S489-S503, 2018 | 57 | 2018 |
| Up/down and P/S decompositions of elastic wavefields using complex seismic traces with applications to calculating Poynting vectors and angle-domain common-image gathers from … W Wang, GA McMechan, C Tang, F Xie Geophysics 81 (4), S181-S194, 2016 | 42 | 2016 |
| Seismic data interpolation using dual-domain conditional generative adversarial networks D Chang, W Yang, X Yong, G Zhang, W Wang, H Li, Y Wang IEEE Geoscience and Remote Sensing Letters 18 (10), 1856-1860, 2020 | 38 | 2020 |
| Automatic velocity picking from semblances with a new deep-learning regression strategy: Comparison with a classification approach W Wang, GA McMechan, J Ma, F Xie Geophysics 86 (2), U1-U13, 2021 | 35 | 2021 |
| Automatic salt detection with machine learning W Wang, F Yang, J Ma 80th EAGE Conference and Exhibition 2018 2018 (1), 1-5, 2018 | 33 | 2018 |
| P-and S-decomposition in anisotropic media with localized low-rank approximations W Wang, B Hua, GA McMechan, B Duquet Geophysics 83 (1), C13-C26, 2018 | 29 | 2018 |
| Elastic isotropic and anisotropic full-waveform inversions using automatic differentiation for gradient calculations in a framework of recurrent neural networks W Wang, GA McMechan, J Ma Geophysics 86 (6), R795-R810, 2021 | 24 | 2021 |
| Analysis of up/down decomposed acoustic reverse time migration images W Wang, GA McMechan, F Xie Geophysics 81 (4), S253-S259, 2016 | 15 | 2016 |
| Automatic picking of multi-mode dispersion curves using CNN-based machine learning L Ren, F Gao, Y Wu, P Williamson, W Wang, GA McMechan SEG Technical Program Expanded Abstracts 2020, 1551-1555, 2020 | 10 | 2020 |
| Vector-based image condition for 3D elastic reverse time migrations W Wang, G McMechan SEG Technical Program Expanded Abstracts 2016, 4168-4172, 2016 | 8 | 2016 |
| Vector domain P and S decomposition in viscoelastic media W Wang, G McMechan SEG International Exposition and Annual Meeting, SEG-2015-5766697, 2015 | 8 | 2015 |
| 基于射线理论的角度道集提取方法综述 张广智， 王文龙， 印兴耀， 李超 地球物理学进展 26 (5), 1696-1707, 2011 | 8 | 2011 |
| Reweighted variational full-waveform inversions W Wang, GA McMechan, J Ma Geophysics 88 (4), R499-R512, 2023 | 7 | 2023 |
| Full waveform inversion based on optimal transport and recurrent neural networks YM LI, HS GU, K XU, ZT SUN, WL WANG Progress in Geophysics 37 (6), 2408-2416, 2022 | 6 | 2022 |
| PS decomposition of isotropic elastic wavefields using CNN-learned filters W Wang, J Ma 81st EAGE Conference and Exhibition 2019 2019 (1), 1-5, 2019 | 6 | 2019 |
g mcmechanProfessor of Geosciences, University of Texas at Dallas 在 utdallas.edu 的电子邮件经过验证
