| Real‐time hybrid simulation based on vector form intrinsic finite element and field programmable gate array Y Duan, J Tao, H Zhang, S Wang, C Yun Structural Control and Health Monitoring 26 (1), e2277, 2019 | 47 | 2019 |
| Structural health monitoring of railway bridges using innovative sensing technologies and machine learning algorithms: A concise review YW Wang, YQ Ni, SM Wang Intelligent Transportation Infrastructure 1, liac009, 2022 | 37 | 2022 |
| Vector form intrinsic finite element method for analysis of train–bridge interaction problems considering the coach-coupler effect YF Duan, SM Wang, JD Yau International Journal of Structural Stability and Dynamics 19 (02), 1950014, 2019 | 33 | 2019 |
| Mitigating crosswind effect on high-speed trains by active blowing method: a comparative study ZW Chen, YQ Ni, YW Wang, SM Wang, TH Liu Engineering Applications of Computational Fluid Mechanics 16 (1), 1064-1081, 2022 | 32 | 2022 |
| Vector form intrinsic finite-element analysis for train and bridge dynamic interaction YF Duan, SM Wang, RZ Wang, CY Wang, JY Shih, CB Yun Journal of Bridge Engineering 23 (1), 04017126, 2018 | 29 | 2018 |
| Comparative analysis of the aerodynamic characteristics on double-unit trains formed by different types of high-speed train X Huo, T Liu, Z Chen, W Li, H Gao, S Wang Journal of Wind Engineering and Industrial Aerodynamics 217, 104757, 2021 | 24 | 2021 |
| Vector form intrinsic finite element based approach to simulate crack propagation YF Duan, SM Wang, RZ Wang, CY Wang, EC Ting Journal of Mechanics 33 (6), 797-812, 2017 | 23 | 2017 |
| Modelling dynamic interaction of maglev train–controller–rail–bridge system by vector mechanics SM Wang, YQ Ni, YG Sun, Y Lu, YF Duan Journal of Sound and Vibration 533, 117023, 2022 | 22 | 2022 |
| Revamping structural health monitoring of advanced rail transit systems: A paradigmatic shift from digital shadows to digital twins MO Adeagbo, SM Wang, YQ Ni Advanced Engineering Informatics 61, 102450, 2024 | 20 | 2024 |
| Control of time delay in magnetic levitation systems Y Sun, S Wang, Y Lu, J Xu, S Xie IEEE Magnetics Letters 13, 1-5, 2021 | 14 | 2021 |
| A machine vision system based on driving recorder for automatic inspection of rail curvature SM Wang, CL Liao, YQ Ni IEEE Sensors Journal 21 (10), 11291-11300, 2020 | 13 | 2020 |
| Train-induced dynamic behavior and fatigue analysis of cable hangers for a tied-arch bridge based on vector form intrinsic finite element YF Duan, SK Wu, SM Wang, JD Yau, YQ Ni, CB Yun International journal of structural stability and dynamics 22 (12), 2250136, 2022 | 11 | 2022 |
| An enhance relative total variation with BF model for edge-preserving image smoothing J Li, Y Han, Y Gao, Q Li, S Wang IEEE Transactions on Circuits and Systems for Video Technology 33 (10), 5420 …, 2023 | 7 | 2023 |
| Gaussian process dynamic modeling and backstepping sliding mode control for magnetic levitation system of maglev train Y Sun, S Wang, Y Lu, J Xu Journal of Theoretical and Applied Mechanics 60, 2022 | 7 | 2022 |
| Vector form intrinsic finite element method for stochastic analysis of train–track–bridge coupling system SM Wang, YQ Ni, YF Duan, JD Yau International Journal of Structural Stability and Dynamics 21 (14), 2140012, 2021 | 7 | 2021 |
| Prediction of crosswind-induced derailment of train–rail–bridge system by vector mechanics SM Wang, JD Yau, YF Duan, YQ Ni, HP Wan, SK Wu, EC Ting Journal of Engineering Mechanics 146 (12), 04020132, 2020 | 7 | 2020 |
| Multiple damage detection of maglev rail joints using time-frequency spectrogram and convolutional neural network YQ Ni, SM Wang, GF Jiang, Y Lu, G Lin, HL Pan, J Xu, S Hao Smart Structures and Systems, An International Journal 29 (4), 625-640, 2022 | 6 | 2022 |
| CFRLA-net: A context-aware feature representation learning anchor-free network for pedestrian detection J Li, Y Bi, S Wang, Q Li IEEE Transactions on Circuits and Systems for Video Technology 33 (9), 4948-4961, 2023 | 5 | 2023 |
| Cooperative Control of Maglev Levitation System via Hamiton-Jacobian-Bellman Multi-Agent Deep Reinforcement Learning Q Zhu, SM Wang, YQ Ni IEEE Transactions on Vehicular Technology, 2024 | 3 | 2024 |
| A review of Levitation Control methods for low-and medium-speed Maglev systems Q Zhu, SM Wang, YQ Ni Buildings 14 (3), 837, 2024 | 3 | 2024 |