
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Extended Kernel Recursive Least Squares Algorithm
Weifeng Liu, Il Memming Park, Yiwen Wang, et al.
IEEE Transactions on Signal Processing (2009) Vol. 57, Iss. 10, pp. 3801-3814
Closed Access | Times Cited: 202
Weifeng Liu, Il Memming Park, Yiwen Wang, et al.
IEEE Transactions on Signal Processing (2009) Vol. 57, Iss. 10, pp. 3801-3814
Closed Access | Times Cited: 202
Showing 26-50 of 202 citing articles:
A modified quantized kernel least mean square algorithm for prediction of chaotic time series
Yunfei Zheng, Shiyuan Wang, Jiuchao Feng, et al.
Digital Signal Processing (2015) Vol. 48, pp. 130-136
Closed Access | Times Cited: 41
Yunfei Zheng, Shiyuan Wang, Jiuchao Feng, et al.
Digital Signal Processing (2015) Vol. 48, pp. 130-136
Closed Access | Times Cited: 41
Robust kernel adaptive filtering for nonlinear time series prediction
Long Shi, Jinghua Tan, Jun Wang, et al.
Signal Processing (2023) Vol. 210, pp. 109090-109090
Closed Access | Times Cited: 12
Long Shi, Jinghua Tan, Jun Wang, et al.
Signal Processing (2023) Vol. 210, pp. 109090-109090
Closed Access | Times Cited: 12
Energy capture efficiency enhancement for PMVG based-wind turbine systems through yaw control using wind direction prediction
Ameerkhan Abdul Basheer, Jeong Jae Hoon, Seong Ryong Lee, et al.
Electric Power Systems Research (2025) Vol. 243, pp. 111490-111490
Closed Access
Ameerkhan Abdul Basheer, Jeong Jae Hoon, Seong Ryong Lee, et al.
Electric Power Systems Research (2025) Vol. 243, pp. 111490-111490
Closed Access
Mean square convergence analysis for kernel least mean square algorithm
Badong Chen, Songlin Zhao, Pingping Zhu, et al.
Signal Processing (2012) Vol. 92, Iss. 11, pp. 2624-2632
Closed Access | Times Cited: 46
Badong Chen, Songlin Zhao, Pingping Zhu, et al.
Signal Processing (2012) Vol. 92, Iss. 11, pp. 2624-2632
Closed Access | Times Cited: 46
A Quantized Kernel Learning Algorithm Using a Minimum Kernel Risk-Sensitive Loss Criterion and Bilateral Gradient Technique
Xiong Luo, Jing Deng, Weiping Wang, et al.
Entropy (2017) Vol. 19, Iss. 7, pp. 365-365
Open Access | Times Cited: 39
Xiong Luo, Jing Deng, Weiping Wang, et al.
Entropy (2017) Vol. 19, Iss. 7, pp. 365-365
Open Access | Times Cited: 39
Kernel Least Mean Square with Single Feedback
Ji Zhao, Xiaofeng Liao, Shiyuan Wang, et al.
IEEE Signal Processing Letters (2014) Vol. 22, Iss. 7, pp. 953-957
Closed Access | Times Cited: 37
Ji Zhao, Xiaofeng Liao, Shiyuan Wang, et al.
IEEE Signal Processing Letters (2014) Vol. 22, Iss. 7, pp. 953-957
Closed Access | Times Cited: 37
Model-fusion-based online glucose concentration predictions in people with type 1 diabetes
Xia Yu, Kamuran Turksoy, Mudassir Rashid, et al.
Control Engineering Practice (2017) Vol. 71, pp. 129-141
Open Access | Times Cited: 36
Xia Yu, Kamuran Turksoy, Mudassir Rashid, et al.
Control Engineering Practice (2017) Vol. 71, pp. 129-141
Open Access | Times Cited: 36
Improving EEG Muscle Artifact Removal With an EMG Array
Juan Andrés Mucarquer, Pavel Prado, María-José Escobar, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 3, pp. 815-824
Open Access | Times Cited: 33
Juan Andrés Mucarquer, Pavel Prado, María-José Escobar, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 3, pp. 815-824
Open Access | Times Cited: 33
Quantized kernel Lleast lncosh algorithm
Qishuai Wu, Yingsong Li, Yuriy Zakharov, et al.
Signal Processing (2021) Vol. 189, pp. 108255-108255
Closed Access | Times Cited: 24
Qishuai Wu, Yingsong Li, Yuriy Zakharov, et al.
Signal Processing (2021) Vol. 189, pp. 108255-108255
Closed Access | Times Cited: 24
Aircraft engine remaining useful life prediction: A comparison study of Kernel Adaptive Filtering architectures
Georgios D. Karatzinis, Yiannis S. Boutalis, Steven Van Vaerenbergh
Mechanical Systems and Signal Processing (2024) Vol. 218, pp. 111551-111551
Closed Access | Times Cited: 3
Georgios D. Karatzinis, Yiannis S. Boutalis, Steven Van Vaerenbergh
Mechanical Systems and Signal Processing (2024) Vol. 218, pp. 111551-111551
Closed Access | Times Cited: 3
Time series prediction using kernel adaptive filter with least mean absolute third loss function
Lu Lu, Haiquan Zhao, Badong Chen
Nonlinear Dynamics (2017) Vol. 90, Iss. 2, pp. 999-1013
Closed Access | Times Cited: 33
Lu Lu, Haiquan Zhao, Badong Chen
Nonlinear Dynamics (2017) Vol. 90, Iss. 2, pp. 999-1013
Closed Access | Times Cited: 33
The Kernel Adaptive Autoregressive-Moving-Average Algorithm
Kan Li, José C. Prı́ncipe
IEEE Transactions on Neural Networks and Learning Systems (2015) Vol. 27, Iss. 2, pp. 334-346
Closed Access | Times Cited: 32
Kan Li, José C. Prı́ncipe
IEEE Transactions on Neural Networks and Learning Systems (2015) Vol. 27, Iss. 2, pp. 334-346
Closed Access | Times Cited: 32
Regularized Kernel Least Mean Square Algorithm with Multiple-delay Feedback
Shiyuan Wang, Yunfei Zheng, Chengxiu Ling
IEEE Signal Processing Letters (2015) Vol. 23, Iss. 1, pp. 98-101
Closed Access | Times Cited: 31
Shiyuan Wang, Yunfei Zheng, Chengxiu Ling
IEEE Signal Processing Letters (2015) Vol. 23, Iss. 1, pp. 98-101
Closed Access | Times Cited: 31
Convergence analysis of kernel LMS algorithm with pre-tuned dictionary
Jie Chen, Wei Gao, Cédric Richard, et al.
(2014), pp. 7243-7247
Open Access | Times Cited: 30
Jie Chen, Wei Gao, Cédric Richard, et al.
(2014), pp. 7243-7247
Open Access | Times Cited: 30
Kernel Least Mean $p$-Power Algorithm
Wei Gao, Jie Chen
IEEE Signal Processing Letters (2017) Vol. 24, Iss. 7, pp. 996-1000
Closed Access | Times Cited: 30
Wei Gao, Jie Chen
IEEE Signal Processing Letters (2017) Vol. 24, Iss. 7, pp. 996-1000
Closed Access | Times Cited: 30
Distributed Adaptive Learning With Multiple Kernels in Diffusion Networks
Ban-Sok Shin, Masahiro Yukawa, Renato L. G. Cavalcante, et al.
IEEE Transactions on Signal Processing (2018) Vol. 66, Iss. 21, pp. 5505-5519
Closed Access | Times Cited: 30
Ban-Sok Shin, Masahiro Yukawa, Renato L. G. Cavalcante, et al.
IEEE Transactions on Signal Processing (2018) Vol. 66, Iss. 21, pp. 5505-5519
Closed Access | Times Cited: 30
Data-driven prognostics of rolling element bearings using a novel Error Based Evolving Takagi–Sugeno Fuzzy Model
Murilo Osorio Camargos, Iury Bessa, Marcos Flávio Silveira Vasconcelos D’Ângelo, et al.
Applied Soft Computing (2020) Vol. 96, pp. 106628-106628
Closed Access | Times Cited: 24
Murilo Osorio Camargos, Iury Bessa, Marcos Flávio Silveira Vasconcelos D’Ângelo, et al.
Applied Soft Computing (2020) Vol. 96, pp. 106628-106628
Closed Access | Times Cited: 24
Graph Diffusion Kernel Maximum Correntropy Criterion Over Sensor Network and Its Performance Analysis
Xinyan Hou, Haiquan Zhao, Xiaoqiang Long
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 14583-14591
Closed Access | Times Cited: 8
Xinyan Hou, Haiquan Zhao, Xiaoqiang Long
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 14583-14591
Closed Access | Times Cited: 8
Introducing evolving Takagi–Sugeno method based on local least squares support vector machine models
M. Komijani, Caro Lucas, Babak Nadjar Araabi, et al.
Evolving Systems (2011) Vol. 3, Iss. 2, pp. 81-93
Closed Access | Times Cited: 32
M. Komijani, Caro Lucas, Babak Nadjar Araabi, et al.
Evolving Systems (2011) Vol. 3, Iss. 2, pp. 81-93
Closed Access | Times Cited: 32
Online Selective Kernel-Based Temporal Difference Learning
Xingguo Chen, Yang Gao, Ruili Wang
IEEE Transactions on Neural Networks and Learning Systems (2013) Vol. 24, Iss. 12, pp. 1944-1956
Open Access | Times Cited: 31
Xingguo Chen, Yang Gao, Ruili Wang
IEEE Transactions on Neural Networks and Learning Systems (2013) Vol. 24, Iss. 12, pp. 1944-1956
Open Access | Times Cited: 31
Unsupervised State-Space Modeling Using Reproducing Kernels
Felipe Tobar, Petar M. Djurić, Danilo P. Mandic
IEEE Transactions on Signal Processing (2015) Vol. 63, Iss. 19, pp. 5210-5221
Open Access | Times Cited: 28
Felipe Tobar, Petar M. Djurić, Danilo P. Mandic
IEEE Transactions on Signal Processing (2015) Vol. 63, Iss. 19, pp. 5210-5221
Open Access | Times Cited: 28
Online condition monitoring and fault detection of large supercapacitor banks in electric vehicle applications
Farshid Naseri, Ebrahim Farjah, Mehdi Allahbakhshi, et al.
IET Electrical Systems in Transportation (2017) Vol. 7, Iss. 4, pp. 318-326
Closed Access | Times Cited: 28
Farshid Naseri, Ebrahim Farjah, Mehdi Allahbakhshi, et al.
IET Electrical Systems in Transportation (2017) Vol. 7, Iss. 4, pp. 318-326
Closed Access | Times Cited: 28
A class of improved least sum of exponentials algorithms
Shiyuan Wang, Yunfei Zheng, Shukai Duan, et al.
Signal Processing (2016) Vol. 128, pp. 340-349
Closed Access | Times Cited: 26
Shiyuan Wang, Yunfei Zheng, Shukai Duan, et al.
Signal Processing (2016) Vol. 128, pp. 340-349
Closed Access | Times Cited: 26
Kernel recursive generalized mixed norm algorithm
Wentao Ma, Xinyu Qiu, Jiandong Duan, et al.
Journal of the Franklin Institute (2017) Vol. 355, Iss. 4, pp. 1596-1613
Closed Access | Times Cited: 25
Wentao Ma, Xinyu Qiu, Jiandong Duan, et al.
Journal of the Franklin Institute (2017) Vol. 355, Iss. 4, pp. 1596-1613
Closed Access | Times Cited: 25
Stability analysis of nonlinear digital systems under hardware overflow constraint for dealing with finite word-length effects of digital technologies
Muhammad Umair Amjad, Muhammad Rehan, Muhammad Tufail, et al.
Signal Processing (2017) Vol. 140, pp. 139-148
Closed Access | Times Cited: 25
Muhammad Umair Amjad, Muhammad Rehan, Muhammad Tufail, et al.
Signal Processing (2017) Vol. 140, pp. 139-148
Closed Access | Times Cited: 25