| Seismic waveform classification and first-break picking using convolution neural networks S Yuan, J Liu, S Wang, T Wang, P Shi IEEE Geoscience and Remote Sensing Letters 15 (2), 272-276, 2018 | 269 | 2018 |
| Simultaneous multitrace impedance inversion with transform-domain sparsity promotion S Yuan, S Wang, C Luo, Y He Geophysics 80 (2), R71-R80, 2015 | 175 | 2015 |
| Swarm intelligence optimization and its application in geophysical data inversion S Yuan, S Wang, N Tian Applied Geophysics 6 (2), 166-174, 2009 | 155 | 2009 |
| Sparse Bayesian learning-based time-variant deconvolution S Yuan, S Wang, M Ma, Y Ji, L Deng IEEE Transactions on Geoscience and Remote Sensing 55 (11), 6182-6194, 2017 | 146 | 2017 |
| Spectral sparse Bayesian learning reflectivity inversion S Yuan, S Wang Geophysical Prospecting 61 (4), 735-746, 2013 | 118 | 2013 |
| Sparse reflectivity inversion for nonstationary seismic data X Chai, S Wang, S Yuan, J Zhao, L Sun, X Wei Geophysics 79 (3), V93-V105, 2014 | 98 | 2014 |
| Impedance inversion by using the low-frequency full-waveform inversion result as an a priori model S Yuan, S Wang, Y Luo, W Wei, G Wang Geophysics 84 (2), R149-R164, 2019 | 97 | 2019 |
| Stable inversion-based multitrace deabsorption method for spatial continuity preservation and weak signal compensation S Yuan, S Wang, N Tian, Z Wang Geophysics 81 (3), V199-V212, 2016 | 64 | 2016 |
| Edge-preserving noise reduction based on Bayesian inversion with directional difference constraints S Yuan, S Wang Journal of Geophysics and Engineering 10 (2), 025001, 2013 | 63 | 2013 |
| Random noise reduction using Bayesian inversion S Yuan, S Wang, G Li Journal of Geophysics and Engineering 9 (1), 60-68, 2012 | 60 | 2012 |
| Geosteering phase attributes: A new detector for the discontinuities of seismic images S Yuan, Y Su, T Wang, J Wang, S Wang IEEE Geoscience and Remote Sensing Letters 16 (1), 145-149, 2018 | 56 | 2018 |
| Lithologic discrimination method based on Markov random-field YK TIAN, H ZHOU, SY YUAN Chinese Journal of Geophysics 56 (4), 1360-1368, 2013 | 54 | 2013 |
| Inversion-based 3-D seismic denoising for exploring spatial edges and spatio-temporal signal redundancy S Yuan, S Wang, C Luo, T Wang IEEE Geoscience and Remote Sensing Letters 15 (11), 1682-1686, 2018 | 53 | 2018 |
| Double-scale supervised inversion with a data-driven forward model for low-frequency impedance recovery S Yuan, X Jiao, Y Luo, W Sang, S Wang Geophysics 87 (2), R165-R181, 2022 | 52 | 2022 |
| Directional complex-valued coherence attributes for discontinuous edge detection S Wang, S Yuan, B Yan, Y He, W Sun Journal of Applied Geophysics 129, 1-7, 2016 | 45 | 2016 |
| Sparse Bayesian learning-based seismic high-resolution time-frequency analysis S Yuan, Y Ji, P Shi, J Zeng, J Gao, S Wang IEEE Geoscience and Remote Sensing Letters 16 (4), 623-627, 2018 | 44 | 2018 |
| DCNNs-based denoising with a novel data generation for multidimensional geological structures learning W Sang, S Yuan, X Yong, X Jiao, S Wang IEEE Geoscience and Remote Sensing Letters 18 (10), 1861-1865, 2020 | 43 | 2020 |
| Influence of inaccurate wavelet phase estimation on seismic inversion Y San-Yi, W Shang-Xu Applied Geophysics 8, 48-59, 2011 | 43 | 2011 |
| Prestack stochastic frequency-dependent velocity inversion with rock-physics constraints and statistical associated hydrocarbon attributes S Yuan, Y Liu, Z Zhang, C Luo, S Wang IEEE Geoscience and Remote Sensing Letters 16 (1), 140-144, 2018 | 42 | 2018 |
| Gas-bearing prediction using transfer learning and CNNs: An application to a deep tight dolomite reservoir J Gao, Z Song, J Gui, S Yuan IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 41 | 2020 |
