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:
Efficient Feature Scaling for Support Vector Machines with a Quadratic Kernel
Zhizheng Liang, Ning Liu
Neural Processing Letters (2013) Vol. 39, Iss. 3, pp. 235-246
Closed Access | Times Cited: 7
Zhizheng Liang, Ning Liu
Neural Processing Letters (2013) Vol. 39, Iss. 3, pp. 235-246
Closed Access | Times Cited: 7
Showing 7 citing articles:
Global Spatial Suitability Mapping of Wind and Solar Systems Using an Explainable AI-Based Approach
Mourtadha Sarhan Sachit, Helmi Zulhaidi Mohd Shafri, Ahmad Fikri Abdullah, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 8, pp. 422-422
Open Access | Times Cited: 24
Mourtadha Sarhan Sachit, Helmi Zulhaidi Mohd Shafri, Ahmad Fikri Abdullah, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 8, pp. 422-422
Open Access | Times Cited: 24
An approach to variable-order prediction via multiple distal dendrites of neurons
Xinyi Zhou, Nianqing Tang, Kuang Yin, et al.
Neural Computing and Applications (2016) Vol. 29, Iss. 6, pp. 1-12
Closed Access | Times Cited: 31
Xinyi Zhou, Nianqing Tang, Kuang Yin, et al.
Neural Computing and Applications (2016) Vol. 29, Iss. 6, pp. 1-12
Closed Access | Times Cited: 31
Prediction of Marine Pycnocline Based on Kernel Support Vector Machine and Convex Optimization Technology
Jiachen Yang, Lin Liu, Linfeng Zhang, et al.
Sensors (2019) Vol. 19, Iss. 7, pp. 1562-1562
Open Access | Times Cited: 6
Jiachen Yang, Lin Liu, Linfeng Zhang, et al.
Sensors (2019) Vol. 19, Iss. 7, pp. 1562-1562
Open Access | Times Cited: 6
Multicriteria Machine Learning Model Assessment—Residuum Analysis Review
Jan Kaniuka, Jakub Ostrysz, Maciej Groszyk, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 810-810
Open Access
Jan Kaniuka, Jakub Ostrysz, Maciej Groszyk, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 810-810
Open Access
An Efficient and Effective Multiple Empirical Kernel Learning Based on Random Projection
Zhe Wang, Qi Fan, Wenbo Jie, et al.
Neural Processing Letters (2014) Vol. 42, Iss. 3, pp. 715-744
Closed Access | Times Cited: 2
Zhe Wang, Qi Fan, Wenbo Jie, et al.
Neural Processing Letters (2014) Vol. 42, Iss. 3, pp. 715-744
Closed Access | Times Cited: 2
Adaptively weighted learning for twin support vector machines via Bregman divergences
Zhizheng Liang, Lei Zhang, Jin Liu, et al.
Neural Computing and Applications (2018) Vol. 32, Iss. 8, pp. 3323-3336
Closed Access | Times Cited: 1
Zhizheng Liang, Lei Zhang, Jin Liu, et al.
Neural Computing and Applications (2018) Vol. 32, Iss. 8, pp. 3323-3336
Closed Access | Times Cited: 1
Structure injected weight normalization for training deep networks
Yuan Xu, Xiang‐Jun Shen, Sumet Mehta, et al.
Multimedia Systems (2021) Vol. 28, Iss. 2, pp. 433-444
Closed Access
Yuan Xu, Xiang‐Jun Shen, Sumet Mehta, et al.
Multimedia Systems (2021) Vol. 28, Iss. 2, pp. 433-444
Closed Access
