| Deep-learning inversion of seismic data S Li, B Liu, Y Ren, Y Chen, S Yang, Y Wang, P Jiang IEEE Transactions on Geoscience and Remote Sensing 58 (3), 2135-2149, 2020 | 361 | 2020 |
| 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 |
| Unsupervised deep learning for random noise attenuation of seismic data B Liu, J Yue, Z Zuo, X Xu, C Fu, S Yang, P Jiang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 27 | 2021 |
| Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network S Yang, Z Wang, J Wang, AG Cohn, J Zhang, P Jiang, L Nie, Q Sui Construction and Building Materials 319, 125658, 2022 | 26 | 2022 |
| 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 |
| Simultaneous tunnel defects and lining thickness identification based on multi-tasks deep neural network from ground penetrating radar images B Liu, J Zhang, M Lei, S Yang, Z Wang Automation in Construction 145, 104633, 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 |
| 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 |
| 3-D structural complexity-guided predictive filtering: A comparison between different non-stationary strategies C Fu, Z Gong, L Chen, S Yang, L Zhang, Y Chen IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 7 | 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 |
| Deep learning inversion of seismic data in tunnels B Liu, S Yang, X Xu, Y Ren, P Jiang* SEG 2019 Workshop: Mathematical Geophysics: Traditional vs Learning, Beijing …, 2020 | 3 | 2020 |
| Seismic ahead-prospecting based on deep learning of retrieving seismic wavefield L Chen, S Yang, L Guo, P Zhang, K Li, W Shao, X Xu, F Sun Underground Space 11, 262-274, 2023 | 1 | 2023 |
| Study on observation system of seismic forward prospecting in tunnel: A case on tailrace tunnel of Wudongde hydropower station S Yang, H Cao, Y Zhang, L Chen, X Xu, J Song, L Xu Open Geosciences 14 (1), 1-12, 2022 | 1 | 2022 |
| Deep learning inversion of seismic data under various observation setups D Li, S Cao, S Yang, X Xu, P Jiang IOP Conference Series: Earth and Environmental Science 660 (1), 012053, 2021 | 1 | 2021 |
| Self-supervised learning waveform inversion for seismic forward prospecting in tunnels: A case study in Pearl River Delta Water Resources Allocation Project in China Y Ren, J Wang, Q Wang, S Yang Geophysics 89 (1), WA309-WA321, 2024 | | 2024 |
