| Fuzzy identification using fuzzy neural networks with stable learning algorithms W Yu, X Li IEEE Transactions on Fuzzy Systems 12 (3), 411-420, 2004 | 339 | 2004 |
| Dynamic knowledge inference and learning under adaptive fuzzy Petri net framework X Li, W Yu, F Lara-Rosano IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2000 | 216 | 2000 |
| Some new results on system identification with dynamic neural networks W Yu, X Li IEEE Transactions on Neural Networks 12 (2), 412-417, 2001 | 210 | 2001 |
| Support vector machine classification for large data sets via minimum enclosing ball clustering J Cervantes, X Li, W Yu, K Li Neurocomputing 71 (4-6), 611-619, 2008 | 193 | 2008 |
| Adaptive fuzzy Petri nets for dynamic knowledge representation and inference X Li, F Lara-Rosano Expert Systems with Applications 19 (3), 235-241, 2000 | 188 | 2000 |
| PID admittance control for an upper limb exoskeleton W Yu, J Rosen, X Li Proceedings of the 2011 American control conference, 1124-1129, 2011 | 160 | 2011 |
| Deformable convolutional networks for efficient mixed-type wafer defect pattern recognition J Wang, C Xu, Z Yang, J Zhang, X Li IEEE Transactions on Semiconductor Manufacturing 33 (4), 587-596, 2020 | 149 | 2020 |
| Some stability properties of dynamic neural networks W Yu, X Li IEEE Transactions on Circuits and Systems I: Fundamental Theory and …, 2001 | 121 | 2001 |
| Multi-agent reinforcement learning for redundant robot control in task-space A Perrusquía, W Yu, X Li International Journal of Machine Learning and Cybernetics 12, 231-241, 2021 | 81 | 2021 |
| Support vector machine classification based on fuzzy clustering for large data sets J Cervantes, X Li, W Yu MICAI 2006: Advances in Artificial Intelligence: 5th Mexican International …, 2006 | 75 | 2006 |
| Multilayer dynamic neural networks for non-linear system on-line identification W Yu, AS Poznyak, X Li International Journal of Control 74 (18), 1858-1864, 2001 | 67 | 2001 |
| Dynamic system identification via recurrent multilayer perceptrons X Li, W Yu Information sciences 147 (1-4), 45-63, 2002 | 62 | 2002 |
| Support vector machine classification for large datasets using decision tree and Fisher linear discriminant AL Chau, X Li, W Yu Future Generation Computer Systems 36, 57-65, 2014 | 55 | 2014 |
| Anti-swing control for overhead crane with neural compensation R Toxqui, W Yu, X Li The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 53 | 2006 |
| Passivity analysis of dynamic neural networks with different time-scales W Yu, X Li Neural Processing Letters 25, 143-155, 2007 | 52 | 2007 |
| Energy consumption prediction of a CNC machining process with incomplete data J Pan, C Li, Y Tang, W Li, X Li IEEE/CAA Journal of Automatica Sinica 8 (5), 987-1000, 2021 | 51 | 2021 |
| Discrete-time neuro identification without robust modification W Yu, X Li IEE Proceedings-Control Theory and Applications 150 (3), 311-316, 2003 | 48 | 2003 |
| Convex and concave hulls for classification with support vector machine AL Chau, X Li, W Yu Neurocomputing 122, 198-209, 2013 | 47* | 2013 |
| Automated nonlinear system modeling with multiple fuzzy neural networks and kernel smoothing W Yu, X Li International Journal of Neural Systems 20 (05), 429-435, 2010 | 47 | 2010 |
| PD control of robot with velocity estimation and uncertainties compensation W Yu, X Li International Journal of Robotics & Automation 21 (1), 1, 2006 | 47 | 2006 |
Wen YuCINVESTAV-IPNVerified email at ctrl.cinvestav.mx
