| Deep denoising autoencoder for seismic random noise attenuation OM Saad, Y Chen Geophysics 85 (4), V367-V376, 2020 | 232 | 2020 |
| A parametric study on transportation problem under fuzzy environment Saad, SA Abass Qatar University, 2002 | 100 | 2002 |
| A fully unsupervised and highly generalized deep learning approach for random noise suppression OM Saad, Y Chen Geophysical Prospecting 69 (4), 709-726, 2021 | 80 | 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 | 72 | 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 | 65 | 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 | 62 | 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 | 61 | 2021 |
| A survey of machine learning techniques for Spam filtering O Saad, A Darwish, R Faraj International Journal of Computer Science and Network Security (IJCSNS) 12 …, 2012 | 59 | 2012 |
| 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 | 51 | 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 60, 1-11, 2021 | 37 | 2021 |
| On stability of proper efficient solutions in multiobjective fractional programming problems under fuzziness OM Saad Mathematical and Computer Modelling 45 (1-2), 221-231, 2007 | 34 | 2007 |
| Unsupervised deep learning for 3D interpolation of highly incomplete data OM Saad, S Fomel, R Abma, Y Chen Geophysics 88 (1), WA189-WA200, 2023 | 33 | 2023 |
| 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 | 33 | 2018 |
| 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 |
| Human authentication using face and fingerprint biometrics AA Darwish, WM Zaki, OM Saad, NM Nassar, G Schaefer 2010 2nd International Conference on Computational Intelligence …, 2010 | 31 | 2010 |
| 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 | 28 | 2023 |
| Stability on multiobjective linear programming problems with fuzzy parameters OM Saad Fuzzy Sets and Systems 74 (2), 207-215, 1995 | 27 | 1995 |
| 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 |
