| Shape robust text detection with progressive scale expansion network W Wang, E Xie, X Li, W Hou, T Lu, G Yu, S Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 726 | 2019 |
| Artificial intelligence and machine learning in radiology: opportunities, challenges, pitfalls, and criteria for success JH Thrall, X Li, Q Li, C Cruz, S Do, K Dreyer, J Brink Journal of the American College of Radiology 15 (3), 504-508, 2018 | 682 | 2018 |
| Conventional fuzzy control and its enhancement HX Li, HB Gatland IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 26 …, 1996 | 462 | 1996 |
| Fuzzy adaptive sliding-mode control for MIMO nonlinear systems S Tong, HX Li IEEE Transactions on Fuzzy Systems 11 (3), 354-360, 2003 | 436 | 2003 |
| Multi-layer domain adaptation method for rolling bearing fault diagnosis X Li, W Zhang, Q Ding, JQ Sun Signal processing 157, 180-197, 2019 | 426 | 2019 |
| Quantum reinforcement learning D Dong, C Chen, H Li, TJ Tarn IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008 | 398 | 2008 |
| A novel spatiotemporal convolutional long short-term neural network for air pollution prediction C Wen, S Liu, X Yao, L Peng, X Li, Y Hu, T Chi Science of the total environment 654, 1091-1099, 2019 | 393 | 2019 |
| Deep learning-based image segmentation on multimodal medical imaging Z Guo, X Li, H Huang, N Guo, Q Li IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 162-169, 2019 | 384 | 2019 |
| A hybrid adaptive fuzzy control for a class of nonlinear MIMO systems HX Li, S Tong IEEE Transactions on Fuzzy Systems 11 (1), 24-34, 2003 | 367 | 2003 |
| Partial person re-identification WS Zheng, X Li, T Xiang, S Liao, J Lai, S Gong Proceedings of the IEEE international conference on computer vision, 4678-4686, 2015 | 364 | 2015 |
| Deep residual learning-based fault diagnosis method for rotating machinery W Zhang, X Li, Q Ding ISA transactions 95, 295-305, 2019 | 340 | 2019 |
| Deep learning architecture for air quality predictions X Li, L Peng, Y Hu, J Shao, T Chi Environmental Science and Pollution Research 23, 22408-22417, 2016 | 339 | 2016 |
| Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism X Li, W Zhang, Q Ding Signal processing 161, 136-154, 2019 | 337 | 2019 |
| Global asymptotical stability of recurrent neural networks with multiple discrete delays and distributed delays J Cao, K Yuan, HX Li IEEE transactions on neural networks 17 (6), 1646-1651, 2006 | 336 | 2006 |
| Differential evolution based on covariance matrix learning and bimodal distribution parameter setting Y Wang, HX Li, T Huang, L Li Applied Soft Computing 18, 232-247, 2014 | 331 | 2014 |
| Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation X Li, W Zhang, Q Ding, JQ Sun Journal of Intelligent Manufacturing 31 (2), 433-452, 2020 | 323 | 2020 |
| Room-temperature skyrmion shift device for memory application G Yu, P Upadhyaya, Q Shao, H Wu, G Yin, X Li, C He, W Jiang, X Han, ... Nano letters 17 (1), 261-268, 2017 | 311 | 2017 |
| Modeling of distributed parameter systems for applications—A synthesized review from time–space separation HX Li, C Qi Journal of Process Control 20 (8), 891-901, 2010 | 302 | 2010 |
| A new methodology for designing a fuzzy logic controller HX Li, HB Gatland IEEE transactions on systems, man, and cybernetics 25 (3), 505-512, 1995 | 302 | 1995 |
| New approach to delay-dependent stability analysis and stabilization for continuous-time fuzzy systems with time-varying delay HN Wu, HX Li IEEE Transactions on Fuzzy Systems 15 (3), 482-493, 2007 | 300 | 2007 |
