| Deep learning for geophysics: Current and future trends S Yu, J Ma Reviews of Geophysics 59 (3), e2021RG000742, 2021 | 404 | 2021 |
| Deep learning for denoising S Yu, J Ma, W Wang Geophysics 84 (6), V333-V350, 2019 | 387 | 2019 |
| Interpolation and denoising of high-dimensional seismic data by learning a tight frame S Yu, J Ma, X Zhang, MD Sacchi Geophysics 80 (5), V119-V132, 2015 | 173 | 2015 |
| Complex variational mode decomposition for slop-preserving denoising S Yu, J Ma IEEE transactions on geoscience and remote sensing 56 (1), 586-597, 2017 | 92 | 2017 |
| Monte Carlo data-driven tight frame for seismic data recovery S Yu, J Ma, S Osher Geophysics 81 (4), V327-V340, 2016 | 92 | 2016 |
| Intelligent interpolation by Monte Carlo machine learning Y Jia, S Yu, J Ma Geophysics 83 (2), V83-V97, 2018 | 69 | 2018 |
| Compressed sensing of complex-valued data S Yu, AS Khwaja, J Ma Signal Processing 92 (2), 357-362, 2012 | 54 | 2012 |
| A fast rank-reduction algorithm for three-dimensional seismic data interpolation Y Jia, S Yu, L Liu, J Ma Journal of Applied Geophysics 132, 137-145, 2016 | 38 | 2016 |
| GEOMETRIC MODE DECOMPOSITION. S Yu, J Ma, S Osher Inverse Problems & Imaging 12 (4), 2018 | 25 | 2018 |
| Earthquake accelerogram denoising by wavelet-based variational mode decomposition TP Banjade, S Yu, J Ma Journal of Seismology 23, 649-663, 2019 | 24 | 2019 |
| Noise attenuation in a low-dimensional manifold S Yu, S Osher, J Ma, Z Shi Geophysics 82 (5), V321-V334, 2017 | 20 | 2017 |
| A projection-onto-convex-sets network for 3D seismic data interpolation Y Chen, S Yu, J Ma Geophysics 88 (3), V249-V265, 2023 | 17 | 2023 |
| Off-the-grid vertical seismic profile data regularization by a compressive sensing method S Yu, J Ma, B Zhao Geophysics 85 (2), V157-V168, 2020 | 17 | 2020 |
| Sparsity in compressive sensing J Ma, S Yu The Leading Edge 36 (8), 646-652, 2017 | 17 | 2017 |
| Data-driven geophysics: From dictionary learning to deep learning S Yu, J Ma arXiv preprint arXiv:2007.06183, 2020 | 12 | 2020 |
| Monte Carlo data-driven tight frame for seismic data recovery: Geophysics, 81 S Yu, J Ma, S Osher V327–V340, 2016 | 6 | 2016 |
| Alternating Direction Method of Multipliers Based on -norm for Multiple Measurement Vector Problem Z Liu, S Yu IEEE Transactions on Signal Processing, 2023 | 4 | 2023 |
| Seismic data regularization on nonequispaced grid via a joint sparsity-promotion method X Wang, S Yu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 4 | 2021 |
| Using geometric mode decomposition for the background noise suppression on microseismic data S Abbasi, V Jayaram, J Akram, MI Alam, S Yu Geophysical Prospecting 71 (8), 1420-1437, 2023 | 3 | 2023 |
| An adaptive linear-mode decomposition for effective separation of linear and nonlinear seismic events, ground roll, and random noise S Abbasi, S Yu, J Akram, MI Alam, B Sarosh Geophysics 88 (4), V303-V315, 2023 | 3 | 2023 |
Jianwei MaProfessor, School of Earth and Space Sciences, Peking University; Harbin Institute of TechnologyVerified email at hit.edu.cn
