| A wind turbine frequent principal fault detection and localization approach with imbalanced data using an improved synthetic oversampling technique N Jiang, N Li International Journal of Electrical Power & Energy Systems 126, 106595, 2021 | 42 | 2021 |
| Online health assessment of wind turbine based on operational condition recognition J Zhang, N Jiang, H Li, N Li Transactions of the Institute of Measurement and Control 41 (10), 2970-2981, 2019 | 42 | 2019 |
| Virtual-action-based coordinated reinforcement learning for distributed economic dispatch D Li, L Yu, N Li, F Lewis IEEE transactions on power systems 36 (6), 5143-5152, 2021 | 40 | 2021 |
| PyramNet: Point cloud pyramid attention network and graph embedding module for classification and segmentation K Zhiheng, L Ning arXiv preprint arXiv:1906.03299, 2019 | 40 | 2019 |
| DML-PL: Deep metric learning based pseudo-labeling framework for class imbalanced semi-supervised learning M Yan, SC Hui, N Li Information Sciences 626, 641-657, 2023 | 24 | 2023 |
| A novel active object detection network based on historical scenes and movements N Ye, R Wang, N Li International Journal of Computer Theory and Engineering 13 (3), 79-83, 2021 | 24 | 2021 |
| Projection-free distributed optimization with nonconvex local objective functions and resource allocation constraint D Li, N Li, F Lewis IEEE Transactions on Control of Network Systems 8 (1), 413-422, 2020 | 21 | 2020 |
| Zoning search using a hyper-heuristic algorithm Q Fan, N Li, Y Zhang, X Yan Science China. Information Sciences 62 (9), 199102, 2019 | 18 | 2019 |
| An autoselection strategy of multiobjective evolutionary algorithms based on performance indicator and its application Q Fan, Y Zhang, N Li IEEE Transactions on Automation Science and Engineering 19 (3), 2422-2436, 2021 | 17 | 2021 |
| Switching multi-model predictive control for hypersonic vehicle H Chen, L Ning, L Shaoyuan 2011 8th Asian Control Conference (ASCC), 677-681, 2011 | 15 | 2011 |
| Graphical temporal semi-supervised deep learning–based principal fault localization in wind turbine systems N Jiang, X Hu, N Li Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2020 | 13 | 2020 |
| Health assessment of wind-turbine generator based on data Z Jing, LI Ning, LI Shaoyuan, H Meng Information and Control 47 (6), 694-701, 712, 2018 | 12 | 2018 |
| A novel Z-function-based completely model-free reinforcement learning method to finite-horizon zero-sum game of nonlinear system Z Chen, W Xue, N Li, B Lian, FL Lewis Nonlinear Dynamics, 1-20, 2022 | 11 | 2022 |
| A real-time modeling of photovoltaic array W Wei, LI Ning, LI Shaoyuan Chinese Journal of Chemical Engineering 20 (6), 1154-1160, 2012 | 11 | 2012 |
| A multiple model approach to modeling based on LPF algorithm L Ning, L Shaoyuan, X Yugeng Journal of Systems Engineering and Electronics 12 (3), 64-70, 2001 | 11 | 2001 |
| Borderline-margin loss based deep metric learning framework for imbalanced data M Yan, N Li Applied Intelligence 53 (2), 1487-1504, 2023 | 10 | 2023 |
| Online health assessment and fault prediction for wind turbine generator J Wang, J Zhang, N Jiang, N Song, J Xin, N Li Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2022 | 8 | 2022 |
| Robust motion planning in dynamic environments based on sampled-data hamilton–jacobi reachability S Kleff, N Li Robotica 38 (12), 2151-2172, 2020 | 8 | 2020 |
| Switched offline multiple model predictive control with polyhedral invariant sets D Li, X Tao, N Li, S Li Industrial & Engineering Chemistry Research 56 (34), 9629-9637, 2017 | 8 | 2017 |
| An optimal control-based distributed reinforcement learning framework for a class of non-convex objective functionals of the multi-agent network Z Chen, N Li IEEE/CAA Journal of Automatica Sinica 10 (11), 2081-2093, 2022 | 7 | 2022 |
