| A fast pruned-extreme learning machine for classification problem HJ Rong, YS Ong, AH Tan, Z Zhu Neurocomputing 72 (1-3), 359-366, 2008 | 444 | 2008 |
| Sequential adaptive fuzzy inference system (SAFIS) for nonlinear system identification and prediction HJ Rong, N Sundararajan, GB Huang, P Saratchandran Fuzzy sets and systems 157 (9), 1260-1275, 2006 | 438 | 2006 |
| Online sequential fuzzy extreme learning machine for function approximation and classification problems HJ Rong, GB Huang, N Sundararajan, P Saratchandran IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009 | 391 | 2009 |
| On-line sequential extreme learning machine. GB Huang, NY Liang, HJ Rong, P Saratchandran, N Sundararajan Computational Intelligence 2005, 232-237, 2005 | 301 | 2005 |
| Extended sequential adaptive fuzzy inference system for classification problems HJ Rong, N Sundararajan, GB Huang, GS Zhao Evolving Systems 2 (2), 71-82, 2011 | 104 | 2011 |
| Correntropy-based evolving fuzzy neural system RJ Bao, HJ Rong, PP Angelov, B Chen, PK Wong IEEE Transactions on Fuzzy Systems 26 (3), 1324-1338, 2017 | 80 | 2017 |
| Direct adaptive neural control of nonlinear systems with extreme learning machine HJ Rong, GS Zhao Neural Computing and Applications 22 (3), 577-586, 2013 | 60 | 2013 |
| Extreme learning machine for multi-categories classification applications HJ Rong, GB Huang, YS Ong 2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008 | 58 | 2008 |
| Kernel adaptive filtering under generalized maximum correntropy criterion Y He, F Wang, J Yang, H Rong, B Chen 2016 International Joint Conference on Neural Networks (IJCNN), 1738-1745, 2016 | 54 | 2016 |
| Adaptive fuzzy control of aircraft wing-rock motion HJ Rong, S Han, GS Zhao Applied Soft Computing 14, 181-193, 2014 | 51 | 2014 |
| Aircraft recognition using modular extreme learning machine HJ Rong, YX Jia, GS Zhao Neurocomputing 128, 166-174, 2014 | 43 | 2014 |
| Stable indirect adaptive neural controller for a class of nonlinear system HJ Rong, S Suresh, GS Zhao Neurocomputing 74 (16), 2582-2590, 2011 | 43 | 2011 |
| Adaptive fuzzy fault-tolerant controller for aircraft autolanding under failures HJ Rong, N Sundararajan, P Saratchandran, GB Huang IEEE Transactions on Aerospace and Electronic Systems 43 (4), 1586-1603, 2008 | 43 | 2008 |
| Stability of evolving fuzzy systems based on data clouds HJ Rong, PP Angelov, X Gu, JM Bai IEEE Transactions on Fuzzy Systems 26 (5), 2774-2784, 2018 | 42 | 2018 |
| Adaptive neural control for a class of MIMO nonlinear systems with extreme learning machine HJ Rong, JT Wei, JM Bai, GS Zhao, YQ Liang Neurocomputing 149, 405-414, 2015 | 39 | 2015 |
| Adaptive backstepping control for magnetic bearing system via feedforward networks with random hidden nodes ZX Yang, GS Zhao, HJ Rong, J Yang Neurocomputing 174, 109-120, 2016 | 36 | 2016 |
| Robust and noise-insensitive recursive maximum correntropy-based evolving fuzzy system HJ Rong, ZX Yang, PK Wong IEEE Transactions on Fuzzy Systems 28 (9), 2277-2284, 2019 | 32 | 2019 |
| Statistically evolving fuzzy inference system for non-Gaussian noises ZX Yang, HJ Rong, P Angelov, ZX Yang IEEE Transactions on Fuzzy Systems 30 (7), 2649-2664, 2021 | 29 | 2021 |
| Self-evolving fuzzy model-based controller with online structure and parameter learning for hypersonic vehicle HJ Rong, ZX Yang, PK Wong, CM Vong, GS Zhao Aerospace Science and Technology 64, 1-15, 2017 | 28 | 2017 |
| Improved adaptive control for wing rock via fuzzy neural network with randomly assigned fuzzy membership function parameters HJ Rong, S Han, JM Bai, YQ Liang Aerospace Science and Technology 39, 614-627, 2014 | 24 | 2014 |
