| Data-driven modeling of vortex-induced vibration of a long-span suspension bridge using decision tree learning and support vector regression S Li, S Laima, H Li Journal of Wind Engineering and Industrial Aerodynamics 172, 196-211, 2018 | 128 | 2018 |
| Cluster analysis of winds and wind-induced vibrations on a long-span bridge based on long-term field monitoring data S Li, S Laima, H Li Engineering Structures 138, 245-259, 2017 | 67 | 2017 |
| Discovering time-varying aerodynamics of a prototype bridge by sparse identification of nonlinear dynamical systems S Li, E Kaiser, S Laima, H Li, SL Brunton, JN Kutz Physical Review E 100 (2), 022220, 2019 | 66 | 2019 |
| Data‐driven modeling of bridge buffeting in the time domain using long short‐term memory network based on structural health monitoring S Li, S Li, S Laima, H Li Structural Control and Health Monitoring 28 (8), e2772, 2021 | 35 | 2021 |
| Physics-guided deep learning framework for predictive modeling of bridge vortex-induced vibrations from field monitoring S Li, S Laima, H Li Physics of Fluids 33 (3), 2021 | 27 | 2021 |
| Data-driven identification of nonlinear normal modes via physics-integrated deep learning S Li, Y Yang Nonlinear Dynamics 106 (4), 3231-3246, 2021 | 22 | 2021 |
| A recurrent neural network framework with an adaptive training strategy for long-time predictive modeling of nonlinear dynamical systems S Li, Y Yang Journal of Sound and Vibration 506, 116167, 2021 | 19 | 2021 |
| Hierarchical deep learning for data-driven identification of reduced-order models of nonlinear dynamical systems S Li, Y Yang Nonlinear Dynamics 105 (4), 3409-3422, 2021 | 15 | 2021 |
| Efficient regional seismic risk assessment via deep generative learning of surrogate models S Li, C Farrar, Y Yang Earthquake Engineering & Structural Dynamics, 2023 | 4 | 2023 |
| A study on data-driven identification and representation of nonlinear dynamical systems with a physics-integrated deep learning approach: Koopman operators and nonlinear normal … A Rostamijavanani, S Li, Y Yang Communications in Nonlinear Science and Numerical Simulation 123, 107278, 2023 | 3 | 2023 |
| Deciphering the controlling factors for phase transitions in zeolitic imidazolate frameworks T Du, S Li, S Ganisetti, M Bauchy, Y Yue, MM Smedskjaer National Science Review, nwae023, 2024 | 2 | 2024 |
| Physics-constrained deep learning of nonlinear normal modes of spatio-temporal fluid flow dynamics A Rostamijavanani, S Li, Y Yang Physics of Fluids 34 (12), 127121, 2022 | 2 | 2022 |
| Super-sensitivity incoherent optical methods for full-field displacement measurements S Li, Y Yang Optics Letters 47 (21), 5453-5456, 2022 | 2 | 2022 |
| Data-Driven Nonlinear Modal Analysis: A Deep Learning Approach S Li, Y Yang Nonlinear Structures & Systems, Volume 1: Proceedings of the 40th IMAC, A …, 2022 | 2 | 2022 |
| Data-Driven Modeling of Parameterized Nonlinear Dynamical Systems with a Dynamics-Embedded Conditional Generative Adversarial Network A Rostamijavanani, S Li, Y Yang Journal of Engineering Mechanics 149 (11), 04023094, 2023 | 1 | 2023 |
| A deep generative framework for data-driven surrogate modeling and visualization of parameterized nonlinear dynamical systems S Li, Y Yang Nonlinear Dynamics 111 (11), 10287-10307, 2023 | 1 | 2023 |
| Discovering time-varying aerodynamics of a prototype bridge during vortex-induced vibrations S Li, E Kaiser, S Laima, H Li, SL Brunton, JN Kutz APS Division of Fluid Dynamics Meeting Abstracts, P14. 007, 2019 | 1 | 2019 |
| Super-sensitivity full-field measurement of structural vibration with an adaptive incoherent optical method S Li, FA Azad, Y Yang Mechanical Systems and Signal Processing 202, 110666, 2023 | | 2023 |
| On the fundamental sensitivity limit of incoherent optical methods for full-field displacement measurements S Li, FA Azad, Y Yang IEEE Transactions on Instrumentation and Measurement, 2023 | | 2023 |
| Efficient Data-Driven Modeling of Nonlinear Dynamical Systems via Metalearning S Li, Y Yang Journal of Engineering Mechanics 149 (3), 04023008, 2023 | | 2023 |
Hui LiHarbin Institute of TechnologyVerified email at hit.edu.cn
