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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

Showing 1-25 of 202 citing articles:

Quantized Kernel Least Mean Square Algorithm
Badong Chen, Songlin Zhao, Pingping Zhu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2011) Vol. 23, Iss. 1, pp. 22-32
Closed Access | Times Cited: 404
Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering
Simo Särkkä, Arno Solin, Jouni Hartikainen
IEEE Signal Processing Magazine (2013) Vol. 30, Iss. 4, pp. 51-61
Closed Access | Times Cited: 232
State-of-the-Art on Brain-Computer Interface Technology
Jānis Pekša, Dmytro Mamchur
Sensors (2023) Vol. 23, Iss. 13, pp. 6001-6001
Open Access | Times Cited: 58
An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters
Weifeng Liu, Il Memming Park, J.C. Principe
IEEE Transactions on Neural Networks (2009) Vol. 20, Iss. 12, pp. 1950-1961
Open Access | Times Cited: 219
Quantized Kernel Recursive Least Squares Algorithm
Badong Chen, Songlin Zhao, Pingping Zhu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2013) Vol. 24, Iss. 9, pp. 1484-1491
Closed Access | Times Cited: 191
Kernel Recursive Least-Squares Tracker for Time-Varying Regression
Steven Van Vaerenbergh, Miguel Lázaro-Gredilla, Ignacio Santamarı́a
IEEE Transactions on Neural Networks and Learning Systems (2012) Vol. 23, Iss. 8, pp. 1313-1326
Closed Access | Times Cited: 164
Wind speed and wind direction forecasting using echo state network with nonlinear functions
Mohammad Amin Chitsazan, M. Sami Fadali, A.M. Trzynadlowski
Renewable Energy (2018) Vol. 131, pp. 879-889
Closed Access | Times Cited: 125
Kernel least mean square with adaptive kernel size
Badong Chen, Junli Liang, Nanning Zheng, et al.
Neurocomputing (2016) Vol. 191, pp. 95-106
Open Access | Times Cited: 100
Nonlinear Spiking Neural Systems With Autapses for Predicting Chaotic Time Series
Qian Liu, Hong Peng, Lifan Long, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 3, pp. 1841-1853
Closed Access | Times Cited: 31
Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm
Min Han, Shuhui Zhang, Meiling Xu, et al.
IEEE Transactions on Cybernetics (2018) Vol. 49, Iss. 4, pp. 1160-1172
Closed Access | Times Cited: 83
Online Dictionary Learning for Kernel LMS
Wei Gao, Jie Chen, Cédric Richard, et al.
IEEE Transactions on Signal Processing (2014) Vol. 62, Iss. 11, pp. 2765-2777
Open Access | Times Cited: 82
A review of adaptive online learning for artificial neural networks
Beatriz Pérez‐Sánchez, Óscar Fontenla-Romero, Bertha Guijarro‐Berdiñas
Artificial Intelligence Review (2016) Vol. 49, Iss. 2, pp. 281-299
Closed Access | Times Cited: 77
Online Machine Learning
Óscar Fontenla-Romero, Bertha Guijarro‐Berdiñas, David Martínez‐Rego, et al.
IGI Global eBooks (2013), pp. 27-54
Closed Access | Times Cited: 75
Robust kernel adaptive filters based on mean p-power error for noisy chaotic time series prediction
Wentao Ma, Jiandong Duan, Weishi Man, et al.
Engineering Applications of Artificial Intelligence (2016) Vol. 58, pp. 101-110
Closed Access | Times Cited: 67
Inverse Unscented Kalman Filter
Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 2692-2709
Open Access | Times Cited: 7
Kernel minimum error entropy algorithm
Badong Chen, Zejian Yuan, Nanning Zheng, et al.
Neurocomputing (2013) Vol. 121, pp. 160-169
Closed Access | Times Cited: 59
Universal Approximation with Convex Optimization: Gimmick or Reality? [Discussion Forum]
José C. Prı́ncipe, Badong Chen
IEEE Computational Intelligence Magazine (2015) Vol. 10, Iss. 2, pp. 68-77
Closed Access | Times Cited: 59
Efficient Online Subspace Learning With an Indefinite Kernel for Visual Tracking and Recognition
Stephan Liwicki, Stefanos Zafeiriou, Georgios Tzimiropoulos, et al.
IEEE Transactions on Neural Networks and Learning Systems (2012) Vol. 23, Iss. 10, pp. 1624-1636
Open Access | Times Cited: 58
Online Learning in Reproducing Kernel Hilbert Spaces
Konstantinos Slavakis, Pantelis Bouboulis, Sergios Theodoridis
Academic press library in signal processing (2014), pp. 883-987
Closed Access | Times Cited: 57
Hybrid ICA—Regression: Automatic Identification and Removal of Ocular Artifacts from Electroencephalographic Signals
Malik Muhammad Naeem Mannan, Myung Yung Jeong, Muhammad Ahmad Kamran
Frontiers in Human Neuroscience (2016) Vol. 10
Open Access | Times Cited: 53
Transfer Learning in Adaptive Filters: The Nearest Instance Centroid-Estimation Kernel Least-Mean-Square Algorithm
Kan Li, José C. Prı́ncipe
IEEE Transactions on Signal Processing (2017) Vol. 65, Iss. 24, pp. 6520-6535
Closed Access | Times Cited: 53
Normalised Spline Adaptive Filtering Algorithm for Nonlinear System Identification
Sihai Guan, Zhi Li
Neural Processing Letters (2017) Vol. 46, Iss. 2, pp. 595-607
Closed Access | Times Cited: 52
Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS
Pingping Zhu, Badong Chen, José C. Prı́ncipe
IEEE Transactions on Signal Processing (2013) Vol. 62, Iss. 1, pp. 141-155
Closed Access | Times Cited: 45
Reduced kernel recursive least squares algorithm for aero-engine degradation prediction
Haowen Zhou, Jinquan Huang, Feng Lü
Mechanical Systems and Signal Processing (2017) Vol. 95, pp. 446-467
Closed Access | Times Cited: 43
The Kernel Conjugate Gradient Algorithms
Ming Zhang, Xiaojian Wang, Xiaoming Chen, et al.
IEEE Transactions on Signal Processing (2018) Vol. 66, Iss. 16, pp. 4377-4387
Closed Access | Times Cited: 43
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