| Seismic envelope inversion and modulation signal model RS Wu, J Luo, B Wu Geophysics 79 (3), WA13-WA24, 2014 | 503 | 2014 |
| Seismic impedance inversion using fully convolutional residual network and transfer learning B Wu, D Meng, L Wang, N Liu, Y Wang IEEE Geoscience and Remote Sensing Letters 17 (12), 2140-2144, 2020 | 153 | 2020 |
| Attention and hybrid loss guided deep learning for consecutively missing seismic data reconstruction J Yu, B Wu IEEE Transactions on Geoscience and Remote Sensing 60, 1-8, 2021 | 99 | 2021 |
| Common-azimuth seismic data fault analysis using residual UNet N Liu, T He, Y Tian, B Wu, J Gao, Z Xu Interpretation 8 (3), SM25-SM37, 2020 | 90 | 2020 |
| Semi-supervised learning for seismic impedance inversion using generative adversarial networks B Wu, D Meng, H Zhao Remote Sensing 13 (5), 909, 2021 | 85 | 2021 |
| Ultra-Low-Frequency Information in Seismic Data and Envelope Inversion RS Wu, J Luo, B Wu SEG International Exposition and Annual Meeting, SEG-2013-0825, 2013 | 70 | 2013 |
| Deep learning prior model for unsupervised seismic data random noise attenuation C Qiu, B Wu, N Liu, X Zhu, H Ren IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 61 | 2021 |
| Consecutively missing seismic data interpolation based on coordinate attention unet X Li, B Wu, X Zhu, H Yang IEEE geoscience and remote sensing letters 19, 1-5, 2021 | 53 | 2021 |
| Seismic inversion via closed-loop fully convolutional residual network and transfer learning L Wang, D Meng, B Wu Geophysics 86 (5), R671-R683, 2021 | 51 | 2021 |
| Seismic impedance inversion based on residual attention network B Wu, Q Xie, B Wu IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2022 | 43 | 2022 |
| Distilling knowledge from an ensemble of convolutional neural networks for seismic fault detection Z Wang, B Li, N Liu, B Wu, X Zhu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 42 | 2020 |
| Seismic impedance inversion using conditional generative adversarial network D Meng, B Wu, Z Wang, Z Zhu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 40 | 2021 |
| Landslide susceptibility modeling using bagging-based positive-unlabeled learning B Wu, W Qiu, J Jia, N Liu IEEE Geoscience and Remote Sensing Letters 18 (5), 766-770, 2020 | 40 | 2020 |
| Seismic data consecutively missing trace interpolation based on multistage neural network training process T He, B Wu, X Zhu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 38 | 2021 |
| Seismic time–frequency analysis via adaptive mode separation-based wavelet transform F Li, B Wu, N Liu, Y Hu, H Wu IEEE Geoscience and Remote Sensing Letters 17 (4), 696-700, 2019 | 33 | 2019 |
| Physical wavelet defined on an observation plane and the dreamlet RS Wu, Y Geng, B Wu SEG International Exposition and Annual Meeting, SEG-2011-3835, 2011 | 30 | 2011 |
| Seismic wave propagation and imaging using time-space wavelets RS Wu, B Wu, Y Geng SEG International Exposition and Annual Meeting, SEG-2008-2983, 2008 | 27 | 2008 |
| Fault detection via 2.5 d transformer u-net with seismic data pre-processing Z Tang, B Wu, W Wu, D Ma Remote Sensing 15 (4), 1039, 2023 | 20 | 2023 |
| Mini-batch optimized full waveform inversion with geological constrained gradient filtering H Yang, J Jia, B Wu, J Gao Journal of Applied Geophysics 152, 9-16, 2018 | 20 | 2018 |
| MTL-FaultNet: Seismic data reconstruction assisted multi-task deep learning 3D fault interpretation W Wu, Y Yang, B Wu, D Ma, Z Tang, X Yin IEEE Transactions on Geoscience and Remote Sensing, 2023 | 19 | 2023 |
