| Maximum correntropy Kalman filter B Chen, X Liu, H Zhao, JC Principe Automatica 76, 70-77, 2017 | 691 | 2017 |
| Generalized correntropy for robust adaptive filtering B Chen, L Xing, H Zhao, N Zheng, JC Prı IEEE Transactions on Signal Processing 64 (13), 3376-3387, 2016 | 617 | 2016 |
| Convergence of a fixed-point algorithm under maximum correntropy criterion B Chen, J Wang, H Zhao, N Zheng, JC Principe IEEE Signal Processing Letters 22 (10), 1723-1727, 2015 | 281 | 2015 |
| Distributed online one-class support vector machine for anomaly detection over networks X Miao, Y Liu, H Zhao, C Li IEEE transactions on cybernetics 49 (4), 1475-1488, 2018 | 165 | 2018 |
| Kernel risk-sensitive loss: definition, properties and application to robust adaptive filtering B Chen, L Xing, B Xu, H Zhao, N Zheng, JC Principe IEEE Transactions on Signal Processing 65 (11), 2888-2901, 2017 | 152 | 2017 |
| Diffusion maximum correntropy criterion algorithms for robust distributed estimation W Ma, B Chen, J Duan, H Zhao Digital Signal Processing 58, 10-19, 2016 | 123 | 2016 |
| Adaptive reduced feedback FLNN filter for active control of nonlinear noise processes H Zhao, X Zeng, J Zhang Signal Processing 90 (3), 834-847, 2010 | 99 | 2010 |
| Adaptively combined FIR and functional link artificial neural network equalizer for nonlinear communication channel H Zhao, J Zhang IEEE Transactions on Neural Networks 20 (4), 665-674, 2009 | 98 | 2009 |
| Functional link neural network cascaded with Chebyshev orthogonal polynomial for nonlinear channel equalization H Zhao, J Zhang Signal processing 88 (8), 1946-1957, 2008 | 78 | 2008 |
| Robust generalized maximum correntropy criterion algorithms for active noise control Y Zhu, H Zhao, X Zeng, B Chen IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1282-1292, 2020 | 76 | 2020 |
| Robust Hammerstein adaptive filtering under maximum correntropy criterion Z Wu, S Peng, B Chen, H Zhao Entropy 17 (10), 7149-7166, 2015 | 76 | 2015 |
| Active impulsive noise control using maximum correntropy with adaptive kernel size L Lu, H Zhao Mechanical Systems and Signal Processing 87, 180-191, 2017 | 74 | 2017 |
| Robust distributed diffusion recursive least squares algorithms with side information for adaptive networks Y Yu, H Zhao, RC de Lamare, Y Zakharov, L Lu IEEE transactions on signal processing 67 (6), 1566-1581, 2019 | 72 | 2019 |
| Robust kernel adaptive filters based on mean p-power error for noisy chaotic time series prediction W Ma, J Duan, W Man, H Zhao, B Chen Engineering Applications of Artificial Intelligence 58, 101-110, 2017 | 70 | 2017 |
| Insights into the robustness of minimum error entropy estimation B Chen, L Xing, B Xu, H Zhao, JC Principe IEEE transactions on neural networks and learning systems 29 (3), 731-737, 2016 | 69 | 2016 |
| Improved-variable-forgetting-factor recursive algorithm based on the logarithmic cost for Volterra system identification L Lu, H Zhao, B Chen IEEE Transactions on Circuits and Systems II: Express Briefs 63 (6), 588-592, 2016 | 69 | 2016 |
| Identification of nonlinear dynamic system using a novel recurrent wavelet neural network based on the pipelined architecture H Zhao, S Gao, Z He, X Zeng, W Jin, T Li IEEE Transactions on Industrial Electronics 61 (8), 4171-4182, 2013 | 66 | 2013 |
| Maximum correntropy Kalman filter with state constraints X Liu, B Chen, H Zhao, J Qin, J Cao IEEE Access 5, 25846-25853, 2017 | 64 | 2017 |
| Adaptive Volterra filter with continuous lp-norm using a logarithmic cost for nonlinear active noise control L Lu, H Zhao Journal of Sound and Vibration 364, 14-29, 2016 | 63 | 2016 |
| Low-complexity nonlinear adaptive filter based on a pipelined bilinear recurrent neural network H Zhao, X Zeng, Z He IEEE Transactions on Neural Networks 22 (9), 1494-1507, 2011 | 63 | 2011 |
