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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:

Fairness in Graph Mining: A Survey
Yushun Dong, Jing Ma, Song Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 10583-10602
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 131
Metaverse Chronicles: A Bibliometric Analysis of Its Evolving Landscape
Walton Wider, Leilei Jiang, Jiaming Lin, et al.
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 17, pp. 4873-4886
Closed Access | Times Cited: 60
Policy advice and best practices on bias and fairness in AI
José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, et al.
Ethics and Information Technology (2024) Vol. 26, Iss. 2
Open Access | Times Cited: 22
Representation Bias in Data: A Survey on Identification and Resolution Techniques
Nima Shahbazi, Lin Yin, Abolfazl Asudeh, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-39
Open Access | Times Cited: 39
Fairness in Large Language Models: A Taxonomic Survey
Zhibo Chu, Zichong Wang, Wenbin Zhang
ACM SIGKDD Explorations Newsletter (2024) Vol. 26, Iss. 1, pp. 34-48
Open Access | Times Cited: 9
Counterfactual Learning on Graphs: A Survey
Zhimeng Guo, Zongyu Wu, Teng Xiao, et al.
Deleted Journal (2025) Vol. 22, Iss. 1, pp. 17-59
Open Access | Times Cited: 1
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
Yushun Dong, Song Wang, Jing Ma, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7441-7449
Open Access | Times Cited: 17
Toward fair graph neural networks via real counterfactual samples
Zichong Wang, Meikang Qiu, Min Chen, et al.
Knowledge and Information Systems (2024) Vol. 66, Iss. 11, pp. 6617-6641
Closed Access | Times Cited: 8
Block-Diagonal Guided DBSCAN Clustering
Zheng Xing, Weibing Zhao
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 5709-5722
Open Access | Times Cited: 6
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, et al.
Deleted Journal (2024)
Open Access | Times Cited: 5
RELIANT: Fair Knowledge Distillation for Graph Neural Networks
Yushun Dong, Binchi Zhang, Yiling Yuan, et al.
Society for Industrial and Applied Mathematics eBooks (2023), pp. 154-162
Open Access | Times Cited: 12
FairSNA: Algorithmic Fairness in Social Network Analysis
Akrati Saxena, George Fletcher, Mykola Pechenizkiy
ACM Computing Surveys (2024) Vol. 56, Iss. 8, pp. 1-45
Open Access | Times Cited: 4
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey
Alessandro Fabris, Nina Baranowska, Matthew Dennis, et al.
ACM Transactions on Intelligent Systems and Technology (2024)
Closed Access | Times Cited: 4
Periodic frequent subgraph mining in dynamic graphs
Jiayu Cai, Zhaoming Chen, Guoting Chen, et al.
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
Fair Laplace: A unified framework for fair spectral clustering
Zhijing Yang, Hui Zhang, Chunming Yang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104124-104124
Closed Access
Fairness-aware Prompt Tuning for Graph Neural Networks
Zhengpin Li, Minhua Lin, Jian Wang, et al.
(2025), pp. 3586-3597
Closed Access
AFCMiner: Finding Absolute Fair Cliques From Attributed Social Networks for Responsible Computational Social Systems
Fei Hao, Yixuan Yang, Jiaxing Shang, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 10, Iss. 6, pp. 3000-3011
Closed Access | Times Cited: 10
Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks
Zixing Song, Yuji Zhang, Irwin King
(2023), pp. 2331-2341
Closed Access | Times Cited: 10
Fairness and Explainability: Bridging the Gap towards Fair Model Explanations
Yuying Zhao, Yu Wang, Tyler Derr
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 9, pp. 11363-11371
Open Access | Times Cited: 9
A Survey of Bias and Fairness in Healthcare AI
Ibomoiye Domor Mienye, George Obaido, Ikiomoye Douglas Emmanuel, et al.
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2024), pp. 642-650
Closed Access | Times Cited: 3
Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks
Tomislav Đuričić, Dominik Kowald, Emanuel Lacić, et al.
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 8
FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph
Wei Chen, Yiqing Wu, Zhao Zhang, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 4, pp. 1-25
Closed Access | Times Cited: 7
Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling
Zheng Zhang, Qi Liu, Zirui Hu, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3241-3252
Closed Access | Times Cited: 2
Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation
Yu Wang, Amin Javari, Janani Balaji, et al.
(2024), pp. 264-273
Open Access | Times Cited: 2
Learning causality with graphs
Jing Ma, Jundong Li
AI Magazine (2022) Vol. 43, Iss. 4, pp. 365-375
Open Access | Times Cited: 10
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