| Deep denoising autoencoder for seismic random noise attenuation OM Saad, Y Chen Geophysics 85 (4), V367-V376, 2020 | 229 | 2020 |
| A fully unsupervised and highly generalized deep learning approach for random noise suppression OM Saad, Y Chen Geophysical Prospecting 69 (4), 709-726, 2021 | 79 | 2021 |
| Unsupervised 3-D random noise attenuation using deep skip autoencoder L Yang, S Wang, X Chen, OM Saad, W Chen, YASI Oboue, Y Chen IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021 | 71 | 2021 |
| Deep learning approach for earthquake parameters classification in earthquake early warning system OM Saad, AG Hafez, MS Soliman IEEE Geoscience and Remote Sensing Letters 18 (7), 1293-1297, 2020 | 64 | 2020 |
| Scalodeep: A highly generalized deep learning framework for real‐time earthquake detection OM Saad, G Huang, Y Chen, A Savvaidis, S Fomel, N Pham, Y Chen Journal of Geophysical Research: Solid Earth 126 (4), e2020JB021473, 2021 | 61 | 2021 |
| Self-attention deep image prior network for unsupervised 3-D seismic data enhancement OM Saad, YASI Oboue, M Bai, L Samy, L Yang, Y Chen IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 58 | 2021 |
| Earthquake detection and P-wave arrival time picking using capsule neural network OM Saad, Y Chen IEEE Transactions on Geoscience and Remote Sensing 59 (7), 6234-6243, 2020 | 49 | 2020 |
| Automatic waveform-based source-location imaging using deep learning extracted microseismic signals OM Saad, Y Chen Geophysics 85 (6), KS171-KS183, 2020 | 39 | 2020 |
| CapsPhase: Capsule Neural Network for Seismic Phase Classification and Picking OM Saad, Y Chen IEEE Transactions on Geoscience and Remote Sensing, 2021 | 35 | 2021 |
| Automatic arrival time detection for earthquakes based on stacked denoising autoencoder OM Saad, K Inoue, A Shalaby, L Samy, MS Sayed IEEE Geoscience and Remote Sensing Letters 15 (11), 1687-1691, 2018 | 32 | 2018 |
| Unsupervised deep learning for 3D interpolation of highly incomplete data OM Saad, S Fomel, R Abma, Y Chen Geophysics 88 (1), WA189-WA200, 2023 | 31 | 2023 |
| 3D microseismic monitoring using machine learning Y Chen, OM Saad, A Savvaidis, Y Chen, S Fomel Journal of Geophysical Research: Solid Earth 127 (3), e2021JB023842, 2022 | 31 | 2022 |
| Real‐time earthquake detection and magnitude estimation using vision transformer OM Saad, Y Chen, A Savvaidis, S Fomel, Y Chen Journal of Geophysical Research: Solid Earth 127 (5), e2021JB023657, 2022 | 29 | 2022 |
| Denoising of distributed acoustic sensing data using supervised deep learning L Yang, S Fomel, S Wang, X Chen, W Chen, OM Saad, Y Chen Geophysics 88 (1), WA91-WA104, 2023 | 27 | 2023 |
| Automatic arrival time detection for earthquakes based on Modified Laplacian of Gaussian filter OM Saad, A Shalaby, L Samy, MS Sayed Computers & Geosciences 113, 43-53, 2018 | 26 | 2018 |
| Machine learning for fast and reliable source-location estimation in earthquake early warning OM Saad, Y Chen, D Trugman, MS Soliman, L Samy, A Savvaidis, ... IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 25 | 2022 |
| Denoising of distributed acoustic sensing seismic data using an integrated framework Y Chen, A Savvaidis, S Fomel, Y Chen, OM Saad, H Wang, YASI Oboué, ... Seismological Society of America 94 (1), 457-472, 2023 | 23 | 2023 |
| Uncovering the microseismic signals from noisy data for high-fidelity 3D source-location imaging using deep learning OM Saad, M Bai, Y Chen Geophysics 86 (6), KS161-KS173, 2021 | 22 | 2021 |
| A MATLAB code package for 2D/3D local slope estimation and structural filtering H Wang, Y Chen, OM Saad, W Chen, YASI Oboué, L Yang, S Fomel, ... Geophysics 87 (3), F1-F14, 2022 | 21 | 2022 |
| Unsupervised deep learning for single-channel earthquake data denoising and its applications in event detection and fully automatic location OM Saad, Y Chen, A Savvaidis, W Chen, F Zhang, Y Chen IEEE Transactions on Geoscience and Remote Sensing 60, 1-10, 2022 | 20 | 2022 |
Yangkang ChenThe University of Texas at Austin在 utexas.edu 的电子邮件经过验证
