| A data-driven approach for discovering stochastic dynamical systems with non-Gaussian Lévy noise Y Li, J Duan Physica D: Nonlinear Phenomena 417, 132830, 2021 | 65 | 2021 |
| Extracting governing laws from sample path data of non-Gaussian stochastic dynamical systems Y Li, J Duan Journal of Statistical Physics 186 (2), 30, 2022 | 30 | 2022 |
| Discovering governing equation from data for multi-stable energy harvester under white noise Y Zhang, J Duan, Y Jin, Y Li Nonlinear Dynamics 106 (4), 2829-2840, 2021 | 30 | 2021 |
| Enhanced energy harvesting using time-delayed feedback control from random rotational environment Y Zhang, Y Jin, Y Li Physica D: Nonlinear Phenomena 422, 132908, 2021 | 30 | 2021 |
| Machine learning framework for computing the most probable paths of stochastic dynamical systems Y Li, J Duan, X Liu Physical Review E 103 (1), 012124, 2021 | 28 | 2021 |
| Noise induced escape from a nonhyperbolic chaotic attractor of a periodically driven nonlinear oscillator Z Chen, Y Li, X Liu Chaos: An Interdisciplinary Journal of Nonlinear Science 26 (6), 2016 | 26 | 2016 |
| Extracting stochastic governing laws by non-local Kramers–Moyal formulae Y Lu, Y Li, J Duan Philosophical Transactions of the Royal Society A 380 (2229), 20210195, 2022 | 18 | 2022 |
| Most probable dynamics of stochastic dynamical systems with exponentially light jump fluctuations Y Li, J Duan, X Liu, Y Zhang Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (6), 2020 | 17 | 2020 |
| Noise induced escape in one-population and two-population stochastic neural networks with internal states Y Li, X Liu Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (2), 2019 | 17 | 2019 |
| Stochastic bifurcations and tipping phenomena of insect outbreak systems driven by α-stable Lévy processes S Yuan, Y Li, Z Zeng Mathematical Modelling of Natural Phenomena 17, 34, 2022 | 15 | 2022 |
| Extracting non-Gaussian governing laws from data on mean exit time Y Zhang, J Duan, Y Jin, Y Li Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (11), 2020 | 15 | 2020 |
| A machine learning method for computing quasi-potential of stochastic dynamical systems Y Li, S Xu, J Duan, X Liu, Y Chu Nonlinear Dynamics 109 (3), 1877-1886, 2022 | 13 | 2022 |
| Extracting stochastic dynamical systems with α-stable Lévy noise from data Y Li, Y Lu, S Xu, J Duan Journal of Statistical Mechanics: Theory and Experiment 2022 (2), 023405, 2022 | 12 | 2022 |
| Data-driven modelling and dynamic analysis of the multistable energy harvester with non-Gaussian Lévy noise Y Zhang, Y Li, Y Jin Applied Mathematical Modelling 125, 390-403, 2024 | 6 | 2024 |
| Rotational stochastic resonance in multistable systems J Zhu, F Zhao, Y Li, X Liu Physica A: Statistical Mechanics and its Applications 634, 129473, 2024 | 5 | 2024 |
| Controlling mean exit time of stochastic dynamical systems based on quasipotential and machine learning Y Li, S Yuan, S Xu Communications in Nonlinear Science and Numerical Simulation 126, 107425, 2023 | 5 | 2023 |
| Quasi-threshold phenomenon in noise-driven Higgins model Y Li, J Wang, X Liu Communications in Nonlinear Science and Numerical Simulation 91, 105441, 2020 | 4 | 2020 |
| A deep learning method for computing mean exit time excited by weak Gaussian noise Y Li, F Zhao, S Xu, J Duan, X Liu Nonlinear Dynamics 112 (7), 5541-5554, 2024 | 3 | 2024 |
| A data-driven framework for learning hybrid dynamical systems Y Li, S Xu, J Duan, Y Huang, X Liu Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (6), 2023 | 3 | 2023 |
| Detecting the most probable high dimensional transition pathway based on optimal control theory J Chen, T Gao, Y Li, J Duan arXiv preprint arXiv:2303.00385, 2023 | 3 | 2023 |
Jinqiao Duan, Chair ProfessorGreat Bay University (near Hong Kong, China)Dirección de correo verificada de gbu.edu.cn