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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 Recommendation: Foundations, Methods, and Applications
Yunqi Li, Hanxiong Chen, Shuyuan Xu, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 14, Iss. 5, pp. 1-48
Open Access | Times Cited: 19

Showing 19 citing articles:

Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era
Sunhao Dai, Xu Chen, Shicheng Xu, et al.
(2025), pp. 998-1001
Closed Access
Disentangling User Interest and Geographical Context for POI Recommendations
Wenhui Meng, Jiayi Xie, Jing Yi, et al.
ACM Transactions on Intelligent Systems and Technology (2025)
Closed Access
Recommending the right academic programs: an interest mining approach using BERTopic
Alessandro Hill, Kalen Goo, Puneet Agarwal
Data Mining and Knowledge Discovery (2025) Vol. 39, Iss. 3
Closed Access
Who Made That Decision and Why? Users’ Perceptions of Human Versus AI Decision-Making and the Power of Explainable-AI
Avital Shulner Tal, Tsvi Kuflik, Doron Kliger, et al.
International Journal of Human-Computer Interaction (2024), pp. 1-18
Open Access | Times Cited: 4
Recommender systems for sustainability: overview and research issues
Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, et al.
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 12
Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation
Bjørnar Vassøy, Helge Langseth
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 3
Towards platform profit-aware fairness in personalized recommendation
Shenghao Liu, Jiayang Sun, Xianjun Deng, et al.
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 10, pp. 4341-4356
Closed Access | Times Cited: 2
Sports recommender systems: overview and research directions
Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, et al.
Journal of Intelligent Information Systems (2024) Vol. 62, Iss. 4, pp. 1125-1164
Open Access | Times Cited: 2
Sports Recommender Systems: Overview and Research Issues
Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 4
On the trade-off between ranking effectiveness and fairness
Massimo Melucci
Expert Systems with Applications (2023) Vol. 241, pp. 122709-122709
Closed Access | Times Cited: 2
Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization
Craig Boutilier, Martin Mladenov, Guy Tennenholtz
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 20, pp. 22575-22583
Open Access
Probing into the Fairness of Large Language Models: A Case Study of ChatGPT
Yunqi Li, Lanjing Zhang, Yongfeng Zhang
(2024) Vol. 29, pp. 1-6
Closed Access
Fairness Explanations in Recommender Systems
Luan Souza
(2024), pp. 1353-1354
Open Access
FairRankTune: A Python Toolkit for Fair Ranking Tasks
Kathleen Cachel, Elke A. Rundensteiner
(2024), pp. 5195-5199
Closed Access
FAER: Fairness-Aware Event-Participant Recommendation in Event-Based Social Networks
Yuan Liang
IEEE Transactions on Big Data (2024) Vol. 10, Iss. 5, pp. 655-668
Closed Access
Beyond Trade-offs: Unveiling Fairness-Constrained Diversity in News Recommender Systems
Célina Treuillier, Sylvain Castagnos, Özlem Özgöbek, et al.
(2024), pp. 143-148
Open Access
Fairness in Graph-based Recommendation: Methods Overview
Lucija Čutura, Klemo Vladimir, Goran Delač, et al.
(2024), pp. 850-855
Closed Access
Wise Fusion : Group Fairness Enhanced Rank Fusion
Kathleen Cachel, Elke A. Rundensteiner
(2024), pp. 163-174
Closed Access
Building Model-Driven Knowledge Graphs via Large Language Models
Vandana Desai, Ying Chi, Jessica R. Stephens, et al.
Communications in computer and information science (2024), pp. 160-172
Closed Access
On the Trade-Off between Ranking Effectiveness and Fairness
Massimo Melucci
(2023)
Closed Access
Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study
Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, et al.
arXiv (Cornell University) (2023)
Open Access
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