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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:

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

Showing 1-25 of 219 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
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
Kernel recursive maximum correntropy
Zongze Wu, Jiahao Shi, Xie Zhang, et al.
Signal Processing (2015) Vol. 117, pp. 11-16
Closed Access | Times Cited: 161
Online Sequential Extreme Learning Machine With Kernels
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, et al.
IEEE Transactions on Neural Networks and Learning Systems (2014) Vol. 26, Iss. 9, pp. 2214-2220
Closed Access | Times Cited: 149
Gaussian Processes for Nonlinear Signal Processing: An Overview of Recent Advances
Fernando Pérez‐Cruz, Steven Van Vaerenbergh, Juan José Murillo-Fuentes, et al.
IEEE Signal Processing Magazine (2013) Vol. 30, Iss. 4, pp. 40-50
Open Access | Times Cited: 144
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
An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals
Yili Xia, Beth Jelfs, Marc M. Van Hulle, et al.
IEEE Transactions on Neural Networks (2010) Vol. 22, Iss. 1, pp. 74-83
Closed Access | Times Cited: 109
Fixed-budget kernel recursive least-squares
Steven Van Vaerenbergh, Ignacio Santamarı́a, Weifeng Liu, et al.
IEEE International Conference on Acoustics Speech and Signal Processing (2010)
Closed Access | Times Cited: 95
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
Fixed budget quantized kernel least-mean-square algorithm
Songlin Zhao, Badong Chen, Pingping Zhu, et al.
Signal Processing (2013) Vol. 93, Iss. 9, pp. 2759-2770
Closed Access | Times Cited: 73
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
State estimation for Markovian jumping recurrent neural networks with interval time-varying delays
P. Balasubramaniam, S. Lakshmanan, S. Jeeva Sathya Theesar
Nonlinear Dynamics (2009) Vol. 60, Iss. 4, pp. 661-675
Closed Access | Times Cited: 73
Nonlinear Acoustic Echo Cancellation Based on a Sliding-Window Leaky Kernel Affine Projection Algorithm
Jose M. Gil-Cacho, Marco Signoretto, Toon van Waterschoot, et al.
IEEE Transactions on Audio Speech and Language Processing (2013) Vol. 21, Iss. 9, pp. 1867-1878
Closed Access | Times Cited: 59
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
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
Kernel Association for Classification and Prediction: A Survey
Yuichi Motai
IEEE Transactions on Neural Networks and Learning Systems (2014) Vol. 26, Iss. 2, pp. 208-223
Closed Access | Times Cited: 52
Control of Gene Regulatory Networks With Noisy Measurements and Uncertain Inputs
Mahdi Imani, Ulisses Braga-Neto
IEEE Transactions on Control of Network Systems (2017) Vol. 5, Iss. 2, pp. 760-769
Open Access | Times Cited: 49
Kernel Correntropy Conjugate Gradient Algorithms Based on Half-Quadratic Optimization
Kui Xiong, Herbert Ho‐Ching Iu, Shiyuan Wang
IEEE Transactions on Cybernetics (2020) Vol. 51, Iss. 11, pp. 5497-5510
Closed Access | Times Cited: 47
Quantized kernel maximum correntropy and its mean square convergence analysis
Shiyuan Wang, Yunfei Zheng, Shukai Duan, et al.
Digital Signal Processing (2017) Vol. 63, pp. 164-176
Closed Access | Times Cited: 46
A linear recurrent kernel online learning algorithm with sparse updates
Haijin Fan, Qing Song
Neural Networks (2013) Vol. 50, pp. 142-153
Closed Access | Times Cited: 45
Kernel adaptive filtering under generalized Maximum Correntropy Criterion
Yicong He, Fei Wang, Jing Yang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2016), pp. 1738-1745
Closed Access | Times Cited: 43
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
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
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