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:

Motif-Based Contrastive Learning for Community Detection
X. Wu, Chang‐Dong Wang, Jiaqi Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11706-11719
Closed Access | Times Cited: 6

Showing 6 citing articles:

Rethinking eigenpairs: Community detection with orthogonality
Liping Yan, Jie Cao, Weiren Yu, et al.
Knowledge-Based Systems (2025), pp. 113053-113053
Closed Access

Graph reconstruction model for enhanced community detection
Peng Gang Sun, Jingqi Hu, Xunlian Wu, et al.
Physica A Statistical Mechanics and its Applications (2025) Vol. 664, pp. 130440-130440
Closed Access

Multi-order graph clustering with adaptive node-level weight learning
Ye Liu, Xue-lei Lin, Yejia Chen, et al.
Pattern Recognition (2024) Vol. 156, pp. 110843-110843
Open Access | Times Cited: 1

Collective flow-evolutionary patterns reveal the mesoscopic structure between snapshots of spatial network
Zhongfu Ma, Di Zhu
International Journal of Geographical Information Science (2024), pp. 1-32
Closed Access | Times Cited: 1

Unified structure-aware feature learning for graph convolutional network
Sujia Huang, Shunxin Xiao, Yuhong Chen, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124397-124397
Closed Access

Motif-aware curriculum learning for node classification
Xiaosha Cai, Man-Sheng Chen, Chang‐Dong Wang, et al.
Neural Networks (2024) Vol. 184, pp. 107089-107089
Closed Access

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