| Deep learning techniques for predicting nonlinear multi-component seismic responses of structural buildings AA Torky, S Ohno Computers & Structures 252, 106570, 2021 | 40 | 2021 |
| Geometrically accurate structural analysis models in BIM-centered software AMM Hasan, AA Torky, YF Rashed Automation in construction 104, 299-321, 2019 | 32 | 2019 |
| A deep learning approach to automated structural engineering of prestressed members AA Torky, AA Aburawwash Int J Struct Civ Eng Res 7 (4), 347-352, 2018 | 10 | 2018 |
| GPU acceleration of the boundary element method for shear-deformable bending of plates AA Torky, YF Rashed Engineering Analysis with Boundary Elements 74, 34-48, 2017 | 10 | 2017 |
| High-performance practical stiffness analysis of high-rise buildings using superfloor elements AA Torky, YF Rashed Journal of Computational Design and Engineering 7 (2), 211-227, 2020 | 5 | 2020 |
| Optimized seismic response control of coupled FEM-BEM high-rise structural models using magnetorheological dampers P Fakhry, AA Torky, YF Rashed Journal of Earthquake Engineering 26 (15), 8092-8119, 2022 | 4 | 2022 |
| DEEP LEARNING TECHNIQUES FOR STRUCTURAL RESPONSE PREDICTION DURING STRONG GROUND MOTIONS AA Torky | 1 | 2020 |
| Optimized Seismic Response Control of Coupled FEM-BEM High-Rise Structural Models Using Magnetorheological Dampers AA Torky | | 2022 |
| Geometrically accurate structural analysis models in BIM-centered software AA Torky, AA Hasan | | 2019 |
| A Deep Learning Approach to Automated Structural Engineering of Prestressed AA Torky, AA Aburawwash | | 2018 |
