| Ground roll attenuation using generative adversarial networks Y Yuan, X Si, Y Zheng Geophysics 85 (4), WA255-WA267, 2020 | 63 | 2020 |
| Sensing prior constraints in deep neural networks for solving exploration geophysical problems X Wu, J Ma, X Si, Z Bi, J Yang, H Gao, D Xie, Z Guo, J Zhang Proceedings of the National Academy of Sciences 120 (23), e2219573120, 2023 | 50 | 2023 |
| Random noise attenuation based on residual learning of deep convolutional neural network X Si, Y Yuan SEG international exposition and annual meeting, SEG-2018-2985176, 2018 | 38 | 2018 |
| Deep learning for efficient microseismic location using source migration‐based imaging Q Zhang, W Zhang, X Wu, J Zhang, W Kuang, X Si Journal of Geophysical Research: Solid Earth 127 (3), e2021JB022649, 2022 | 32 | 2022 |
| Attenuation of random noise using denoising convolutional neural networks X Si, Y Yuan, T Si, S Gao Interpretation 7 (3), SE269–SE280, 2019 | 32 | 2019 |
| Seismic Foundation Model (SFM): a next generation deep learning model in geophysics H Sheng, X Wu, X Si, J Li, S Zhang, X Duan Geophysics 90 (2), 1-64, 2024 | 23 | 2024 |
| SeisCLIP: A seismology foundation model pre-trained by multi-modal data for multi-purpose seismic feature extraction X Si, X Wu, H Sheng, J Zhu, Z Li IEEE Transactions on Geoscience and Remote Sensing, 2024 | 14 | 2024 |
| An all-in-one seismic phase picking, location, and association network for multi-task multi-station earthquake monitoring X Si, X Wu, Z Li, S Wang, J Zhu Communications Earth & Environment 5 (1), 22, 2024 | 10 | 2024 |
| Attenuation of linear noise based on denoising convolutional neural network with asymmetric convolution blocks Y Yuan, Y Zheng, X Si Exploration Geophysics 53 (5), 532-546, 2022 | 9 | 2022 |
| Ground roll attenuation based on conditional and cycle generative adversarial networks X Si*, Y Yuan, F Ping, Y Zheng, L Feng SEG 2019 Workshop: Mathematical Geophysics: Traditional vs Learning, Beijing …, 2020 | 9 | 2020 |
| The improved DnCNN for linear noise attenuation Y Zheng*, Y Yuan, X Si SEG 2019 Workshop: Mathematical Geophysics: Traditional vs Learning, Beijing …, 2020 | 8 | 2020 |
| A Three-Dimensional Geological Structure Modeling Framework and Its Application in Machine Learning S Wang, Z Cai, X Si, Y Cui Mathematical Geosciences 55 (2), 163-200, 2023 | 7 | 2023 |
| Structural Augmentation in Seismic Data for Fault Prediction S Wang, X Si, Z Cai, Y Cui Applied Sciences 12 (19), 9796, 2022 | 6 | 2022 |
| Ground roll attenuation with conditional generative adversarial networks X Si SEG International Exposition and Annual Meeting, D031S030R008, 2020 | 5 | 2020 |
| Filling borehole image gaps with a partial convolution neural network L Jiang, X Si, X Wu Geophysics 89 (2), D89-D98, 2024 | 4 | 2024 |
| Fast global self-attention for seismic image fault identification S Wang, X Si, Z Cai, L Sun, W Wang, Z Jiang IEEE Transactions on Geoscience and Remote Sensing, 2024 | 3 | 2024 |
| FlexLogNet: A flexible deep learning-based well-log completion method of adaptively using what you have to predict what you are missing C Dai, X Si, X Wu Computers & Geosciences 191, 105666, 2024 | 2 | 2024 |
| Completing any borehole images Z Yang, X Wu, X Pang, H Sheng, X Si, G Wang, L Yang, C Wang IEEE Transactions on Geoscience and Remote Sensing, 2024 | 1 | 2024 |
| Comparative analysis of TPA‐LSTM and transformer models for forecasting GEO radiation belt electron fluxes M Tan, X Si, S Teng, X Wu, X Tao Space Weather 22 (11), e2024SW004119, 2024 | | 2024 |
| A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys H Gao, X Wu, L Liang, H Sheng, X Si, G Hui, Y Li arXiv preprint arXiv:2409.04962, 2024 | | 2024 |
Xinming WuProfessor of Geophysics, University of Science and Technology of ChinaEmail verificata su ustc.edu.cn