| Detection for disease tipping points by landscape dynamic network biomarkers X Liu, X Chang, S Leng, H Tang, K Aihara, L Chen National Science Review 6 (4), 775-785, 2019 | 125 | 2019 |
| Partial cross mapping eliminates indirect causal influences S Leng, H Ma, J Kurths, YC Lai, W Lin, K Aihara, L Chen Nature communications 11 (1), 2632, 2020 | 112 | 2020 |
| Randomly distributed embedding making short-term high-dimensional data predictable H Ma, S Leng, K Aihara, W Lin, L Chen Proceedings of the National Academy of Sciences 115 (43), E9994-E10002, 2018 | 105 | 2018 |
| Closed-loop control of complex networks: A trade-off between time and energy YZ Sun, SY Leng, YC Lai, C Grebogi, W Lin Physical review letters 119 (19), 198301, 2017 | 100 | 2017 |
| Similarity-navigated graph neural networks for node classification M Zou, Z Gan, R Cao, C Guan, S Leng Information Sciences 633, 41-69, 2023 | 71 | 2023 |
| Basin stability in delayed dynamics S Leng, W Lin, J Kurths Scientific reports 6 (1), 21449, 2016 | 66 | 2016 |
| Detection of time delays and directional interactions based on time series from complex dynamical systems H Ma, S Leng, C Tao, X Ying, J Kurths, YC Lai, W Lin Physical Review E 96 (1), 012221, 2017 | 55 | 2017 |
| Embedding theory of reservoir computing and reducing reservoir network using time delays XY Duan, X Ying, SY Leng, J Kurths, W Lin, HF Ma Physical Review Research 5 (2), L022041, 2023 | 52 | 2023 |
| UniG-Encoder: A universal feature encoder for graph and hypergraph node classification M Zou, Z Gan, Y Wang, J Zhang, D Sui, C Guan, S Leng Pattern Recognition 147, 110115, 2024 | 38 | 2024 |
| Reconstructing directional causal networks with random forest: Causality meeting machine learning S Leng, Z Xu, H Ma Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (9), 2019 | 36 | 2019 |
| Data-based prediction and causality inference of nonlinear dynamics H Ma, S Leng, L Chen Science China Mathematics 61 (3), 403-420, 2018 | 33 | 2018 |
| Continuity scaling: A rigorous framework for detecting and quantifying causality accurately X Ying, SY Leng, HF Ma, Q Nie, YC Lai, W Lin Research, 2022 | 30 | 2022 |
| Conditional cross-map-based technique: From pairwise dynamical causality to causal network reconstruction L Yang, W Lin, S Leng Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (6), 2023 | 15 | 2023 |
| Closed-loop control of higher-order complex networks: Finite-time and pinning strategies X Qiu, L Yang, C Guan, S Leng Chaos, Solitons & Fractals 173, 113677, 2023 | 14 | 2023 |
| Reservoir computing decoupling memory–nonlinearity trade-off J Xia, J Chu, S Leng, H Ma Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (11), 2023 | 13 | 2023 |
| Common stochastic inputs induce neuronal transient synchronization with partial reset S Leng, K Aihara Neural Networks 128, 13-21, 2020 | 13 | 2020 |
| Physically-guided temporal diffusion transformer for long-term time series forecasting Z Ren, J Yu, J Huang, X Yang, S Leng, Y Liu, S Yan Knowledge-Based Systems 304, 112508, 2024 | 10 | 2024 |
| Feedback coupling induced synchronization of neural networks Z Zuo, R Cao, Z Gan, J Hou, C Guan, S Leng Neurocomputing 549, 126457, 2023 | 9 | 2023 |
| Detecting dynamical causality via intervened reservoir computing J Zhao, Z Gan, R Huang, C Guan, J Shi, S Leng Communications Physics 7 (1), 232, 2024 | 7 | 2024 |
| Deep Reinforcement Learning with Parametric Episodic Memory K Chen, Z Gan, S Leng, C Guan 2022 International Joint Conference on Neural Networks (IJCNN), 1-7, 2022 | 7 | 2022 |
Wei LinProfessor of Applied Mathematics, Fudan UniversityVerified email at sh163.net
