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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:

Online independent reduced least squares support vector regression
Yong-Ping Zhao, Sun Jian-guo, Zhonghua Du, et al.
Information Sciences (2012) Vol. 201, pp. 37-52
Closed Access | Times Cited: 13

Showing 13 citing articles:

On general purpose time series similarity measures and their use as kernel functions in support vector machines
Helmuth Pree, Benjamin Herwig, Thiemo Gruber, et al.
Information Sciences (2014) Vol. 281, pp. 478-495
Closed Access | Times Cited: 37
Online Identification of Nonlinear Stochastic Spatiotemporal System With Multiplicative Noise by Robust Optimal Control-Based Kernel Learning Method
Hanwen Ning, Guangyan Qing, Tianhai Tian, et al.
IEEE Transactions on Neural Networks and Learning Systems (2018) Vol. 30, Iss. 2, pp. 389-404
Closed Access | Times Cited: 23
A pruning method of refining recursive reduced least squares support vector regression
Yong-Ping Zhao, Kangkang Wang, Li Fu
Information Sciences (2014) Vol. 296, pp. 160-174
Closed Access | Times Cited: 19
K-plane regression
Naresh Manwani, P. S. Sastry
Information Sciences (2014) Vol. 292, pp. 39-56
Open Access | Times Cited: 18
Online Kernel Learning With Adaptive Bandwidth by Optimal Control Approach
Jiaming Zhang, Hanwen Ning, Xingjian Jing, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 5, pp. 1920-1934
Closed Access | Times Cited: 13
Incremental learning for Lagrangian ε-twin support vector regression
Binjie Gu, Jie Cao, Feng Pan, et al.
Soft Computing (2023) Vol. 27, Iss. 9, pp. 5357-5375
Closed Access | Times Cited: 4
Robust Online Learning Method Based on Dynamical Linear Quadratic Regulator
Hanwen Ning, Jiaming Zhang, Xingjian Jing, et al.
IEEE Access (2019) Vol. 7, pp. 117780-117795
Open Access | Times Cited: 6
Control-based algorithms for high dimensional online learning
Hanwen Ning, Jiaming Zhang, Ting-Ting Feng, et al.
Journal of the Franklin Institute (2020) Vol. 357, Iss. 3, pp. 1909-1942
Closed Access | Times Cited: 6
Incremental kernel minimum squared error (KMSE)
Yong-Ping Zhao, Kangkang Wang, Jie Liu, et al.
Information Sciences (2014) Vol. 270, pp. 92-111
Closed Access | Times Cited: 3
Online estimation of workpiece height by least squares support vector machines in wire electrical discharge machining
Xue-Cheng Xi, Shang-Cheng Dou, Wansheng Zhao
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2014) Vol. 228, Iss. 14, pp. 2618-2631
Closed Access | Times Cited: 2
Development Of An Adaptive Soft Sensor Based On FCMILSSVR
Ebrahim Gomnam, Hooshang Jazayeri‐Rad
International journal of scientific and technology research (2013) Vol. 2, Iss. 2, pp. 199-203
Closed Access | Times Cited: 2
Sparse kernel minimum squared error using Householder transformation and givens rotation
Yong-Ping Zhao, Peng-Peng Xi, Bing Li, et al.
Applied Intelligence (2017) Vol. 48, Iss. 2, pp. 390-415
Closed Access | Times Cited: 1
An adaptive online machine learning method based on a robust optimal control approach
Hanwen Ning, Zhanfeng Li
Scientia Sinica Mathematica (2018) Vol. 48, Iss. 9, pp. 1181-1181
Open Access | Times Cited: 1
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