| AKSE: A novel adaptive Kriging method combining sampling region scheme and error-based stopping criterion for structural reliability analysis J Wang, G Xu, Y Li, A Kareem Reliability Engineering & System Safety 219, 108214, 2022 | 79 | 2022 |
| Efficient structural reliability analysis based on adaptive Bayesian support vector regression J Wang, C Li, G Xu, Y Li, A Kareem Computer Methods in Applied Mechanics and Engineering 387, 114172, 2021 | 64 | 2021 |
| Structural reliability and stochastic finite element methods: State-of-the-art review and evidence-based comparison M Aldosary, J Wang, C Li Engineering Computations 35 (6), 2165-2214, 2018 | 53 | 2018 |
| Failure mechanism and vulnerability assessment of coastal box-girder bridge with laminated rubber bearings under extreme waves Y Xu, G Xu, S Xue, J Wang, Y Li Ocean Engineering 266, 112834, 2022 | 27 | 2022 |
| Machine learning in coastal bridge hydrodynamics: a state-of-the-art review G Xu, C Ji, Y Xu, E Yu, Z Cao, Q Wu, P Lin, J Wang* Applied Ocean Research, 2023 | 23 | 2023 |
| A novel tri-semicircle shaped submerged breakwater for mitigating wave loads on coastal bridges part I: Efficacy S Xue, Y Xu, G Xu, J Wang, Q Chen Ocean Engineering 245, 110462, 2022 | 22 | 2022 |
| A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation J Fu, M Wang, B Chen, J Wang, D Xiao, M Luo, B Evans Engineering with Computers 39 (6), 3895-3926, 2023 | 17 | 2023 |
| Hydrodynamic shape optimization of an auxiliary structure proposed for circular bridge pier based on a developed adaptive surrogate model G Xu, Y Jin, S Xue, P Yuan, J Wang Ocean Engineering 259, 111869, 2022 | 17 | 2022 |
| An adaptive Kriging method based on K-means clustering and sampling in n-ball for structural reliability analysis J Wang, Z Cao, G Xu, J Yang, A Kareem Engineering Computations, 2023 | 16 | 2023 |
| A local weighted linear regression (LWLR) ensemble of surrogate models based on stacking strategy: application to hydrodynamic response prediction for submerged floating tunnel … G Xu, H Wei, J Wang, X Chen, B Zhu Applied Ocean Research 125, 103228, 2022 | 16 | 2022 |
| A hybrid surrogate model for the prediction of solitary wave forces on the coastal bridge decks J Wang, S Xue, G Xu Infrastructures 6 (12), 170, 2021 | 16 | 2021 |
| An efficient and versatile Kriging-based active learning method for structural reliability analysis J Wang, G Xu, P Yuan, Y Li, A Kareem Reliability Engineering & System Safety 241, 109670, 2024 | 15 | 2024 |
| A novel combined countermeasure of fairing-openings for mitigating extreme wave forces on typical coastal low-lying bridges S Xue, W Xie, G Xu, Y Han, J Wang Ocean Engineering 257, 111717, 2022 | 15 | 2022 |
| Hermite polynomial normal transformation for structural reliability analysis J Wang, M Aldosary, S Cen, C Li Engineering Computations 38 (8), 3193-3218, 2021 | 15 | 2021 |
| Behavior of high-speed railway ballastless track slabs using reactive powder concrete materials J Yang, B Kong, CS Cai, JS Wang Journal of Transportation Engineering 142 (8), 04016031, 2016 | 15 | 2016 |
| A novel machine learning-based framework for predicting impact force in ship-bridge pier collisions G Xu, Z Cao, J Wang, S Xue, M Tang Ocean Engineering 285, 115347, 2023 | 13 | 2023 |
| Experimental and numerical investigation of combined countermeasure for mitigating tsunami forces on typical coastal T-girder bridge deck Q Wu, G Xu, S Xue, J Wang, Y Li Ocean Engineering 268, 113419, 2023 | 13 | 2023 |
| A novel ensemble model using artificial neural network for predicting wave-induced forces on coastal bridge decks G Xu, C Ji, H Wei, J Wang, P Yuan Engineering with Computers 39 (5), 3269-3292, 2023 | 12 | 2023 |
| Predicting wave forces on coastal bridges using genetic algorithm enhanced ensemble learning framework G Xu, H Wei, S Xue, J Wang, Y Li Ocean Engineering 266, 112963, 2022 | 12 | 2022 |
| Dynamic performance of triple-column bridge pier under barge collision Z Cao, J Wang, G Xu, C Shao, J Yang Ocean Engineering 271, 113763, 2023 | 11 | 2023 |
