| Deep-learning inversion of seismic data S Li, B Liu, Y Ren, Y Chen, S Yang, Y Wang, P Jiang arXiv preprint arXiv:1901.07733, 2019 | 361 | 2019 |
| Deep learning inversion of electrical resistivity data B Liu, Q Guo, S Li, B Liu, Y Ren, Y Pang, X Guo, L Liu, P Jiang IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5715-5728, 2020 | 163 | 2020 |
| GPRInvNet: Deep learning-based ground-penetrating radar data inversion for tunnel linings B Liu, Y Ren, H Liu, H Xu, Z Wang, AG Cohn, P Jiang IEEE Transactions on Geoscience and Remote Sensing 59 (10), 8305-8325, 2021 | 105 | 2021 |
| Deep-learning seismic full-waveform inversion for realistic structural models B Liu, S Yang, Y Ren, X Xu, P Jiang, Y Chen Geophysics 86 (1), R31-R44, 2021 | 91 | 2021 |
| A physics-based neural-network way to perform seismic full waveform inversion Y Ren, X Xu, S Yang, L Nie, Y Chen IEEE Access 8, 112266-112277, 2020 | 53 | 2020 |
| Building complex seismic velocity models for deep learning inversion Y Ren, L Nie, S Yang, P Jiang, Y Chen IEEE Access 9, 63767-63778, 2021 | 30 | 2021 |
| Reverse time migration of seismic forward-prospecting data in tunnels based on beamforming methods S Li, Y Ren, L Liu, X Xu, B Liu, Q Zhang Rock Mechanics and Rock Engineering 52, 3261-3278, 2019 | 26 | 2019 |
| Structural complexity‐guided predictive filtering B Liu, C Fu, Y Ren, Q Zhang, X Xu, Y Chen Geophysical Prospecting 68 (5), 1509-1522, 2020 | 23 | 2020 |
| Tunnel prospecting based on integrated interpretation of geophysical data: Xiangyun Tunnel, Yunnan Province, China L Chen, F Zhang, Y Ren, X Xu, Z Yang, M Li Journal of environmental and engineering geophysics 24 (1), 63-75, 2019 | 20 | 2019 |
| Forward prediction for tunnel geology and classification of surrounding rock based on seismic wave velocity layered tomography B Liu, J Wang, S Yang, X Xu, Y Ren Journal of Rock Mechanics and Geotechnical Engineering 15 (1), 179-190, 2023 | 16 | 2023 |
| Physics-driven self-supervised learning system for seismic velocity inversion B Liu, P Jiang, Q Wang, Y Ren, S Yang, AG Cohn Geophysics 88 (2), R145-R161, 2023 | 13 | 2023 |
| Well-log information-assisted high-resolution waveform inversion based on deep learning S Yang, T Alkhalifah, Y Ren, B Liu, Y Li, P Jiang IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023 | 12 | 2023 |
| Seismic data inversion with acquisition adaptive convolutional neural network for geologic forward prospecting in tunnels Y Ren, B Liu, S Yang, D Li, P Jiang Geophysics 86 (5), R659-R670, 2021 | 12 | 2021 |
| Prestack reverse time imaging in tunnels based on the decoupled nonconversion elastic-wave equation Y Ren, Z Yang, B Liu, X Xu, Y Chen Geophysics 85 (6), S371-S383, 2020 | 11 | 2020 |
| 3C-3D tunnel seismic reverse time migration imaging: A case study of Pearl River Delta Water Resources Allocation Project J Wang, S Yang, X Xu, P Jiang, Y Ren, C Du, S Du Journal of Applied Geophysics 210, 104954, 2023 | 8 | 2023 |
| Decoupled elastic least-squares reverse time migration and its application in tunnel geologic forward prospecting B Liu, J Wang, Y Ren, X Guo, L Chen, L Liu Geophysics 87 (1), EN1-EN19, 2022 | 8 | 2022 |
| Optimal staggered-grid finite-difference method for wave modeling based on artificial neural networks X Guo, J Wang, S Yang, Y Ren Computers & Mathematics with Applications 108, 141-158, 2022 | 7 | 2022 |
| Full waveform inversion based on inversion network reparameterized velocity P Jiang, Q Wang, Y Ren, S Yang, N Li Geophysical Prospecting 72 (Machine learning applications in geophysical …, 2023 | 6 | 2023 |
| Pre-stack elastic reverse time migration in tunnels based on cylindrical coordinates Y Ren, J Wang, Z Yang, X Xu, L Chen Journal of Rock Mechanics and Geotechnical Engineering 14 (6), 1933-1945, 2022 | 4 | 2022 |
| 3D constrained electrical resistivity inversion method based on reference model C WANG, S LI, B LIU, L NIE, F ZHANG, J SONG, Q GUO, Y REN Chinese Journal of Geotechnical Engineering 38 (9), 1685-1694, 2016 | 4 | 2016 |
Senlin YangShandong University在 sdu.edu.cn 的电子邮件经过验证
