| Seismic impedance inversion based on cycle-consistent generative adversarial network YQ Wang, Q Wang, WK Lu, Q Ge, XF Yan Petroleum Science 19 (1), 147-161, 2022 | 137 | 2022 |
| Well-logging constrained seismic inversion based on closed-loop convolutional neural network Y Wang, Q Ge, W Lu, X Yan IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5564-5574, 2020 | 105 | 2020 |
| Random seismic noise attenuation based on data augmentation and CNN W Yuqing, LU Wenkai, L JinLin, Z Meng, M YongKang Chinese Journal of Geophysics 62 (1), 421-433, 2019 | 90* | 2019 |
| Physics-constrained seismic impedance inversion based on deep learning Y Wang, Q Wang, W Lu, H Li IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 50 | 2021 |
| Learning from noisy data: An unsupervised random denoising method for seismic data using model-based deep learning F Wang, B Yang, Y Wang, M Wang IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 25 | 2022 |
| UB-Net: Improved seismic inversion based on uncertainty backpropagation Q Ma, Y Wang, Y Ao, Q Wang, W Lu IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2022 | 13 | 2022 |
| Seismic inversion based on 2D-CNNs and domain adaption Q Wang, Y Wang, Y Ao, W Lu IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022 | 12 | 2022 |
| Reservoir prediction based on closed-loop CNN and virtual well-logging labels C Song, W Lu, Y Wang, S Jin, J Tang, L Chen IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022 | 10 | 2022 |
| High-resolution seismic impedance inversion integrating the closed-loop convolutional neural network and geostatistics: an application to the thin interbedded reservoir Q Ge, H Cao, Z Yang, X Li, X Yan, X Zhang, Y Wang, W Lu Journal of Geophysics and Engineering 19 (3), 550-561, 2022 | 7 | 2022 |
| A dynamic time warping loss-based closed-loop CNN for seismic impedance inversion C Song, M Lu, Y Wang, W Lu IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 4 | 2022 |
| A self-adaptive antialiasing framework for seismic data interpolation Y Wang, W Lu, Y Li IEEE Transactions on Geoscience and Remote Sensing 61, 1-12, 2023 | 3 | 2023 |
| ECA-UNet: Denoise seismic data by learning from traditional method W Shan, Y Wang, W Lu SEG International Exposition and Annual Meeting, D011S127R005, 2021 | 3 | 2021 |
| Seismic inversion based on 2D-CNN and multi-task learning Q Wang, Y Wang, Y Ao, W Lu 82nd EAGE annual conference & exhibition 2021 (1), 1-5, 2021 | 3 | 2021 |
| Seismic impedance inversion via combining convolutional neural network and geostatistics: An example from Songliao Basin, China Q Ge, H Cao, Y Wang, X Yan, Z Yang, X Li, X Zhang 83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5, 2022 | 2 | 2022 |
| Improved seismic impedance inversion based on uncertainty analysis Q Ma, Y Wang, Q Wang, W Lu First International Meeting for Applied Geoscience & Energy, 1400-1404, 2021 | 2 | 2021 |
| A self-evolving CNN framework for seismic data interpolation Y Wang, W Lu 82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021 | 1 | 2021 |
