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:

hier2vec: interpretable multi-granular representation learning for hierarchy in social networks
Shun Fu, Guoyin Wang, Xu Ji
International Journal of Machine Learning and Cybernetics (2021) Vol. 12, Iss. 9, pp. 2543-2557
Closed Access | Times Cited: 7

Showing 7 citing articles:

Learning Behavior Evaluation Model and Teaching Strategy Innovation by Social Media Network Following Learning Psychology
Lijuan Yuan, Hongming Li, Shiman Fu, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 14

Building hierarchical class structures for extreme multi-class learning
Hongzhi Huang, Yu Wang, Qinghua Hu
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 7, pp. 2575-2590
Closed Access | Times Cited: 5

A spatial hierarchical network learning framework for drug repositioning allowing interpretation from macro to micro scale
Zhong-Hao Ren, Xiangxiang Zeng, Yizhen Lao, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1

End-to-end multi-granulation causality extraction model
Miao Wu, Qinghua Zhang, Chengying Wu, et al.
Digital Communications and Networks (2023)
Open Access | Times Cited: 2

IEEE ICCI*CC Series in Year 20: Latest Advances in Cognitive Informatics and Cognitive Computing towards General AI (Plenary Panel Report-I)
Yingxu Wang, Bernard Widrow, Witold Pedrycz, et al.
(2021), pp. 253-263
Closed Access | Times Cited: 4

Exploring and exploiting hierarchical structures for large-scale classification
Junyan Zheng, Yu Wang, Shenglei Pei, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 6, pp. 2427-2437
Closed Access | Times Cited: 1

Multi-order attribute network representation learning via constructing hierarchical graphs
Mingqiang Zhou, Qizhi Han, Dan Liu, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 6, pp. 2095-2110
Closed Access

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