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OpenAlex Citation Counts

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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:

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

Showing 1-25 of 164 citing articles:

Randomness in neural networks: an overview
Simone Scardapane, Dianhui Wang
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2017) Vol. 7, Iss. 2
Open Access | Times Cited: 313
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
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
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
A kernel machine-based secure data sensing and fusion scheme in wireless sensor networks for the cyber-physical systems
Xiong Luo, Dandan Zhang, Laurence T. Yang, et al.
Future Generation Computer Systems (2015) Vol. 61, pp. 85-96
Closed Access | Times Cited: 106
Online learning‐based model predictive control with Gaussian process models and stability guarantees
Michael Maiworm, Daniel Limón, Rolf Findeisen
International Journal of Robust and Nonlinear Control (2021) Vol. 31, Iss. 18, pp. 8785-8812
Open Access | Times Cited: 67
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
Intelligent fatigue detection based on hierarchical multi-scale ECG representations and HRV measures
Siqi Mu, Shiwei Liao, Kuan Tao, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106127-106127
Closed Access | Times Cited: 8
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
Kafnets: Kernel-based non-parametric activation functions for neural networks
Simone Scardapane, Steven Van Vaerenbergh, Simone Totaro, et al.
Neural Networks (2018) Vol. 110, pp. 19-32
Open Access | Times Cited: 75
Local online kernel ridge regression for forecasting of urban travel times
James Haworth, John Shawe‐Taylor, Tao Cheng, et al.
Transportation Research Part C Emerging Technologies (2014) Vol. 46, pp. 151-178
Open Access | Times Cited: 69
Machine learning based decision making for time varying systems: Parameter estimation and performance optimization
Yiyang Chen, Yingwei Zhou
Knowledge-Based Systems (2020) Vol. 190, pp. 105479-105479
Closed Access | Times Cited: 50
Machine learning based iterative learning control for non‐repetitive time‐varying systems
Yiyang Chen, Wei Jiang, Themistoklis Charalambous
International Journal of Robust and Nonlinear Control (2022) Vol. 33, Iss. 7, pp. 4098-4116
Open Access | Times Cited: 30
Prediction Intervals for a Noisy Nonlinear Time Series Based on a Bootstrapping Reservoir Computing Network Ensemble
Chunyang Sheng, Jun Zhao, Wei Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2013) Vol. 24, Iss. 7, pp. 1036-1048
Closed Access | Times Cited: 68
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
Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes
Harold Soh, Yiannis Demiris
IEEE Transactions on Neural Networks and Learning Systems (2014) Vol. 26, Iss. 3, pp. 522-536
Open Access | Times Cited: 56
Online Nonlinear AUC Maximization for Imbalanced Data Sets
Junjie Hu, Haiqin Yang, Michael R. Lyu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2017) Vol. 29, Iss. 4, pp. 882-895
Closed Access | Times Cited: 52
An adaptive online learning approach for Support Vector Regression: Online-SVR-FID
Jie Liu, Enrico Zio
Mechanical Systems and Signal Processing (2016) Vol. 76-77, pp. 796-809
Open Access | Times Cited: 48
A survey on knowledge transfer for manufacturing data analytics
Seung Hwan Bang, Ronay Ak, Anantha Narayanan, et al.
Computers in Industry (2018) Vol. 104, pp. 116-130
Closed Access | Times Cited: 44
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
Power prediction for electric vehicles using online machine learning
Stephan Rhode, Steven Van Vaerenbergh, Matthias Pfriem
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103278-103278
Closed Access | Times Cited: 41
Optimized adaptive noise canceller for denoising cardiovascular signal using SOS algorithm
Shubham Yadav, Suman Kumar Saha, Rajib Kar, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102830-102830
Closed Access | Times Cited: 28
Run-indexed time-varying Bayesian optimization with positional encoding for auto-tuning of controllers: Application to a plasma-assisted deposition process with run-to-run drifts
Kwanghyun Cho, Ketong Shao, Ali Mesbah
Computers & Chemical Engineering (2024) Vol. 185, pp. 108653-108653
Closed Access | Times Cited: 4
Bayesian learning: approximate inference and nonparametric models
Sergios Theodoridis
Machine learning (2025), pp. 635-716
Closed Access
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