| Recent developments of high-speed railway bridges in China X He, T Wu, Y Zou, YF Chen, H Guo, Z Yu Structure and Infrastructure Engineering 13 (12), 1584-1595, 2017 | 226 | 2017 |
| Modeling hysteretic nonlinear behavior of bridge aerodynamics via cellular automata nested neural network T Wu, A Kareem Journal of Wind Engineering and Industrial Aerodynamics 99 (4), 378-388, 2011 | 160 | 2011 |
| Measurements and analysis of non-stationary wind characteristics at Sutong Bridge in Typhoon Damrey H Wang, T Wu, T Tao, A Li, A Kareem Journal of Wind Engineering and Industrial Aerodynamics 151, 100-106, 2016 | 113 | 2016 |
| Wind-induced effects on bluff bodies in turbulent flows: nonstationary, non-Gaussian and nonlinear features A Kareem, T Wu Journal of Wind Engineering and Industrial Aerodynamics 122, 21-37, 2013 | 113 | 2013 |
| An overview of vortex-induced vibration (VIV) of bridge decks T Wu, A Kareem Frontiers of Structural and Civil Engineering 6, 335-347, 2012 | 113 | 2012 |
| Comparative study of the wind characteristics of a strong wind event based on stationary and nonstationary models T Tao, H Wang, T Wu Journal of Structural Engineering 143 (5), 04016230, 2017 | 102 | 2017 |
| Bridge aerodynamics and aeroelasticity: A comparison of modeling schemes T Wu, A Kareem Journal of Fluids and Structures 43, 347-370, 2013 | 100 | 2013 |
| Vortex-induced vibration of bridge decks: a Volterra series based model T Wu, A Kareem Journal of Engineering Mechanics 139 (12), 1831-1843, 2013 | 93 | 2013 |
| Applications of machine learning to wind engineering T Wu, R Snaiki Frontiers in Built Environment 8, 811460, 2022 | 75 | 2022 |
| Nonlinear unsteady bridge aerodynamics: Reduced-order modeling based on deep LSTM networks T Li, T Wu, Z Liu Journal of Wind Engineering and Industrial Aerodynamics 198, 104116, 2020 | 72 | 2020 |
| A knowledge‐enhanced deep reinforcement learning‐based shape optimizer for aerodynamic mitigation of wind‐sensitive structures S Li, R Snaiki, T Wu Computer‐Aided Civil and Infrastructure Engineering 36 (6), 733-746, 2021 | 67 | 2021 |
| Linear and nonlinear aeroelastic analysis frameworks for cable-supported bridges T Wu, A Kareem, Y Ge Nonlinear Dynamics 74, 487-516, 2013 | 66 | 2013 |
| Knowledge-enhanced deep learning for wind-induced nonlinear structural dynamic analysis H Wang, T Wu Journal of Structural Engineering 146 (11), 04020235, 2020 | 65 | 2020 |
| Aerodynamic Stabilization Mechanism of a Twin Box Girder with Various Slot Widths Y Yang, T Wu, Y Ge, A Kareem Journal of Bridge Engineering 20 (3), 04014067, 2014 | 65 | 2014 |
| Knowledge-enhanced deep learning for simulation of tropical cyclone boundary-layer winds R Snaiki, T Wu Journal of Wind Engineering and Industrial Aerodynamics 194, 103983, 2019 | 64 | 2019 |
| A nonlinear convolution scheme to simulate bridge aerodynamics T Wu, A Kareem Computers & Structures 128, 259-271, 2013 | 54 | 2013 |
| An efficient analysis framework for high-speed train-bridge coupled vibration under non-stationary winds X He, K Shi, T Wu Structure and Infrastructure Engineering 16 (9), 1326-1346, 2020 | 51 | 2020 |
| A linear height-resolving wind field model for tropical cyclone boundary layer R Snaiki, T Wu Journal of Wind Engineering and Industrial Aerodynamics 171, 248-260, 2017 | 51 | 2017 |
| A semi-empirical model for mean wind velocity profile of landfalling hurricane boundary layers R Snaiki, T Wu Journal of Wind Engineering and Industrial Aerodynamics 180, 249-261, 2018 | 48 | 2018 |
| Downburst-induced transient response of a long-span bridge: A CFD-CSD-based hybrid approach J Hao, T Wu Journal of Wind Engineering and Industrial Aerodynamics 179, 273-286, 2018 | 48 | 2018 |
