| Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments W Ma, H Qu, G Gui, L Xu, J Zhao, B Chen Journal of the Franklin Institute 352 (7), 2708-2727, 2015 | 222 | 2015 |
| Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short-term memory neural network J Duan, P Wang, W Ma, X Tian, S Fang, Y Cheng, Y Chang, H Liu Energy 214, 118980, 2021 | 182 | 2021 |
| Kernel recursive maximum correntropy Z Wu, J Shi, X Zhang, W Ma, B Chen, I Senior Member Signal Processing 117, 11-16, 2015 | 175 | 2015 |
| Diffusion maximum correntropy criterion algorithms for robust distributed estimation W Ma, B Chen, J Duan, H Zhao Digital Signal Processing 58, 10-19, 2016 | 133 | 2016 |
| A novel hybrid model based on nonlinear weighted combination for short-term wind power forecasting J Duan, P Wang, W Ma, S Fang, Z Hou International Journal of Electrical Power & Energy Systems 134, 107452, 2022 | 119 | 2022 |
| Robust power system state estimation with minimum error entropy unscented Kalman filter L Dang, B Chen, S Wang, W Ma, P Ren IEEE Transactions on Instrumentation and Measurement 69 (11), 8797-8808, 2020 | 107 | 2020 |
| Unscented Kalman filter with generalized correntropy loss for robust power system forecasting-aided state estimation W Ma, J Qiu, X Liu, G Xiao, J Duan, B Chen IEEE Transactions on Industrial Informatics 15 (11), 6091-6100, 2019 | 81 | 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 | 73 | 2017 |
| Sparse least mean p-power algorithms for channel estimation in the presence of impulsive noise W Ma, B Chen, H Qu, J Zhao Signal, Image and Video Processing 10 (3), 503-510, 2016 | 71 | 2016 |
| Wind Power Prediction Based on Extreme Learning Machine with Kernel Mean p-Power Error Loss N Li, F He, W Ma Energies 12 (4), 673, 2019 | 53 | 2019 |
| Wind power prediction of kernel extreme learning machine based on differential evolution algorithm and cross validation algorithm N Li, F He, W Ma, R Wang, X Zhang Ieee Access 8, 68874-68882, 2020 | 41 | 2020 |
| Robust state of charge estimation for Li-ion batteries based on cubature kalman filter with generalized maximum correntropy criterion W Ma, P Guo, X Wang, Z Zhang, S Peng, B Chen Energy 260, 125083, 2022 | 40 | 2022 |
| Bias-compensated normalized maximum correntropy criterion algorithm for system identification with noisy input W Ma, D Zheng, Y Li, Z Zhang, B Chen Signal Processing 152, 160-164, 2018 | 38 | 2018 |
| Robust proportionate adaptive filter based on maximum correntropy criterion for sparse system identification in impulsive noise environments W Ma, D Zheng, Z Zhang, J Duan, B Chen Signal, Image and Video Processing 12, 117-124, 2018 | 36 | 2018 |
| Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and maximum mixture correntropy long short-term memory neural network W Lu, J Duan, P Wang, W Ma, S Fang International Journal of Electrical Power & Energy Systems 144, 108552, 2023 | 34 | 2023 |
| State of charge estimation of lithium battery based on improved correntropy extended Kalman filter J Duan, P Wang, W Ma, X Qiu, X Tian, S Fang Energies 13 (16), 4197, 2020 | 34 | 2020 |
| Linear Kalman filtering algorithm with noisy control input variable W Ma, J Qiu, J Liang, B Chen IEEE Transactions on Circuits and Systems II: Express Briefs 66 (7), 1282-1286, 2018 | 33 | 2018 |
| Prediction method for network traffic based on maximum correntropy criterion Q Hua, M Wentao, Z Jihong, W Tao China Communications 10 (1), 134-145, 2013 | 29 | 2013 |
| Adaptive unscented kalman filter with correntropy loss for robust state of charge estimation of lithium-ion battery Q Sun, H Zhang, J Zhang, W Ma Energies 11 (11), 3123, 2018 | 28 | 2018 |
| Proportionate NLMS with unbiasedness criterion for sparse system identification in the presence of input and output noises W Ma, D Zheng, X Tong, Z Zhang, B Chen IEEE Transactions on Circuits and Systems II: Express Briefs 65 (11), 1808-1812, 2017 | 28 | 2017 |
Badong ChenProfessor of Xi'an Jiaotong University, Xi'an, ChinaVerified email at mail.xjtu.edu.cn
