| Poststack seismic data denoising based on 3-D convolutional neural network D Liu, W Wang, X Wang, C Wang, J Pei, W Chen IEEE Transactions on Geoscience and Remote Sensing 58 (3), 1598-1629, 2019 | 128 | 2019 |
| Random noise suppression in seismic data: What can deep learning do? D Liu, W Wang, W Chen, X Wang, Y Zhou, Z Shi SEG International Exposition and Annual Meeting, SEG-2018-2998114, 2018 | 74 | 2018 |
| An unsupervised deep learning method for denoising prestack random noise D Liu, Z Deng, C Wang, X Wang, W Chen IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 52 | 2020 |
| Efficient tensor completion methods for 5-D seismic data reconstruction: Low-rank tensor train and tensor ring D Liu, MD Sacchi, W Chen IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2022 | 32 | 2022 |
| Accelerating seismic scattered noise attenuation in offset-vector tile domain: Application of deep learning D Liu, X Wang, X Yang, H Mao, MD Sacchi, W Chen Geophysics 87 (5), V505-V519, 2022 | 21 | 2022 |
| Unsupervised deep learning for ground roll and scattered noise attenuation D Liu, MD Sacchi, X Wang, W Chen IEEE Transactions on Geoscience and Remote Sensing, 2023 | 17 | 2023 |
| Improving vertical resolution of vintage seismic data by a weakly supervised method based on cycle generative adversarial network D Liu, W Niu, X Wang, MD Sacchi, W Chen, C Wang Geophysics 88 (6), V445-V458, 2023 | 15 | 2023 |
| Should we have labels for deep learning ground roll attenuation? D Liu, W Chen, MD Sacchi, H Wang SEG Technical Program Expanded Abstracts 2020, 3239-3243, 2020 | 14 | 2020 |
| Eliminating harmonic noise in vibroseis data through sparsity-promoted waveform modeling D Liu, X Li, W Wang, X Wang, Z Shi, W Chen Geophysics 87 (3), V183-V191, 2022 | 13 | 2022 |
| A dictionary learning method with atom splitting for seismic footprint suppression D Liu, L Gao, X Wang, W Chen Geophysics 86 (6), V509-V523, 2021 | 13 | 2021 |
| Random noise attenuation method for seismic data based on deep residual networks F Zhang, D Liu, X Wang, W Chen, W Wang International Geophysical Conference, Beijing, China, 24-27 April 2018, 1774 …, 2018 | 12 | 2018 |
| Must we have labels for denoising seismic data based on deep learning? D Liu*, Z Deng, X Wang, W Wang, Z Shi, C Wang, W Chen SEG 2019 Workshop: Mathematical Geophysics: Traditional vs Learning, Beijing …, 2020 | 10 | 2020 |
| Improving sparse representation with deep learning: A workflow for separating strong background interference D Liu, W Wang, X Wang, Z Shi, MD Sacchi, W Chen Geophysics 88 (1), WA253-WA266, 2023 | 9 | 2023 |
| 基于地震资料有效信息约束的深度网络无监督噪声压制方法 陈文超， 刘达伟， 魏新建， 王晓凯， 陈德武， 李书平， 李冬 煤田地质与勘探 49 (1), 249-256, 2021 | 8 | 2021 |
| A convolutional neural network for seismic dip estimation D Liu, X Wang, Z Shi, Y Zhou, W Chen SEG Technical Program Expanded Abstracts 2019, 2634-2638, 2019 | 7 | 2019 |
| Seismic intelligent deblending via plug and play method with blended CSGs trained deep CNN Gaussian denoiser W Xu, Y Zhou, D Liu, X Wang, W Chen IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 6 | 2022 |
| Unsupervised noise suppression method for depth network seismic data based on prior information constraint C Wenchao, LIU Dawei, WEI Xinjian, W Xiaokai, C Dewu, LI Shuping, ... Coal Geology & Exploration 49 (1), 28, 2021 | 6 | 2021 |
| 3D seismic waveform of channels extraction by artificial intelligence D Liu, X Wang, W Chen, Y Zhou, W Wang, Z Shi, C Wang, C Xie SEG International Exposition and Annual Meeting, D033S077R003, 2019 | 6 | 2019 |
| 5D Seismic data interpolation by continuous representation D Liu, W Gao, W Xu, J Li, X Wang, W Chen IEEE Transactions on Geoscience and Remote Sensing, 2024 | 5 | 2024 |
| Separation of seismic multiple reflection-refraction based on morphological component analysis with high-resolution linear Radon transform D Liu, H Zhang, X Wang, W Chen, Z Shi, Z Zhao Geophysics 87 (4), V367-V379, 2022 | 5 | 2022 |
Mauricio D SacchiProfessor of Geophysics, Department of Physics, University of AlbertaEmail verificata su ualberta.ca