| Machine learning-based prediction of crosswind vibrations of rectangular cylinders P Lin, G Hu, C Li, L Li, Y Xiao, KT Tse, KCS Kwok Journal of Wind Engineering and Industrial Aerodynamics 211, 104549, 2021 | 70 | 2021 |
| Machine learning based prediction of piezoelectric energy harvesting from wake galloping C Zhang, G Hu, D Yurchenko, P Lin, S Gu, D Song, H Peng, J Wang Mechanical Systems and Signal Processing 160, 107876, 2021 | 68 | 2021 |
| Machine learning-enabled estimation of crosswind load effect on tall buildings P Lin, F Ding, G Hu, C Li, Y Xiao, KT Tse, KCS Kwok, A Kareem Journal of Wind Engineering and Industrial Aerodynamics 220, 104860, 2022 | 54 | 2022 |
| Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables W Jiang, B Liu, Y Liang, H Gao, P Lin, D Zhang, G Hu Applied Energy 353, 122155, 2024 | 35 | 2024 |
| Prediction of wind-induced vibrations of twin circular cylinders based on machine learning S Gu, J Wang, G Hu, P Lin, C Zhang, L Tang, F Xu Ocean Engineering 239, 109868, 2021 | 23 | 2021 |
| Pedestrian level wind flow field of elevated tall buildings with dense tandem arrangement H Gao, J Liu, P Lin, C Li, Y Xiao, G Hu Building and Environment 226, 109745, 2022 | 20 | 2022 |
| A novel hybrid deep learning model for multi-step wind speed forecasting considering pairwise dependencies among multiple atmospheric variables W Jiang, P Lin, Y Liang, H Gao, D Zhang, G Hu Energy 285, 129408, 2023 | 15 | 2023 |
| An optimal sensor placement scheme for wind flow and pressure field monitoring H Gao, J Liu, P Lin, G Hu, L Patruno, Y Xiao, KT Tse, KCS Kwok Building and Environment 244, 110803, 2023 | 11 | 2023 |
| Characterizing wind-induced reconfiguration of coaxial branched tree P Lin, G Hu, KT Tse, J Song, AK Leung, Z Jiang, L Zou Agricultural and Forest Meteorology 340, 109590, 2023 | 6 | 2023 |
| Deep learning-based fast prediction of flow field around multiple bluff bodies P Lin, C You, Q Wang, G Hu Advances in Wind Engineering 1 (2), 100020, 2024 | 1 | 2024 |
| An interactive platform of deep reinforcement learning and wind tunnel testing X Dong, Z Wang, P Lin, Q Wang, G Hu Physics of Fluids 36 (11), 2024 | 1 | 2024 |
| Effect of branch angle on wind-induced loads of a sympodial tree P Lin, G Hu, KT Tse, AK Leung Physics of Fluids 36 (9), 2024 | 1 | 2024 |
| Experimental investigation on vibration characteristics of sympodial tree P Lin, G Hu, KT Tse, AK Leung Urban Forestry & Urban Greening 99, 128427, 2024 | 1 | 2024 |
| A deep learning framework for wind pressure super-resolution reconstruction X Chen, X Dong, P Lin, F Ding, B Kim, J Song, Y Xiao, G Hu Wind and Structures 36 (6), 405-421, 2023 | 1 | 2023 |
| Intelligent control of structural vibrations based on deep reinforcement learning X Guo, P Lin, Q Wang, G Hu Journal of Infrastructure Intelligence and Resilience 4 (2), 100136, 2025 | | 2025 |
| Advanced Aerodynamic Analysis and Predictive Wind Load Modelling of Sympodial Trees P Lin PQDT-Global, 2024 | | 2024 |
| Effects of Tree Geometry on the Aerodynamics of Sympodial Trees with Analysis of Extreme Gust Wind P Lin, G Hu, KT Tse, AK Leung Available at SSRN 5027903, 0 | | |
| Effects of Tree Morphology on Aerodynamics of Fractal Trees in Extreme-Gust Wind P LIN, G Hu, KT Tse, AK Leung Available at SSRN 4867740, 0 | | |
Gang HUHarbin Institute of Technology (Shenzhen)hit.edu.cn의 이메일 확인됨