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:

A graph-enhanced attention model for community detection in multiplex networks
Bang Wang, Xiang Cai, Minghua Xu, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120552-120552
Closed Access | Times Cited: 6

Showing 6 citing articles:

A comprehensive review of community detection in graphs
Jiakang Li, Songning Lai, Zhihao Shuai, et al.
Neurocomputing (2024) Vol. 600, pp. 128169-128169
Open Access | Times Cited: 5

Meta-path and hypergraph fused distillation framework for heterogeneous information networks embedding
Beibei Yu, Cheng Xie, Hongmin Cai, et al.
Information Sciences (2024) Vol. 667, pp. 120453-120453
Open Access | Times Cited: 2

A Multi-Embedding Fusion Network for attributed graph clustering
Hongtao Liu, Xianbin Lu, Kefei Cheng, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112073-112073
Closed Access | Times Cited: 2

Addressing COVID-induced changes in spatiotemporal travel mobility and community structure utilizing trip data: An innovative graph-based deep learning approach
Ximing Chang, Jianjun Wu, Jiarui Yu, et al.
Transportation Research Part A Policy and Practice (2024) Vol. 180, pp. 103973-103973
Closed Access | Times Cited: 1

Improving Crystal Property Prediction from a Multiplex Graph Perspective
Haowei Feng, Tian Hua
Journal of Chemical Information and Modeling (2024)
Closed Access

A Multi-layer Network Community Detection Method via Network Feature Augmentation and Contrastive Learning
Min Teng, Chao Gao, Zhen Wang, et al.
Lecture notes in computer science (2024), pp. 158-169
Closed Access

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