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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.

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Showing 1-25 of 237 citing articles:

A clarification of the nuances in the fairness metrics landscape
Alessandro Castelnovo, Riccardo Crupi, Greta Greco, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 125
Fairness in recommender systems: research landscape and future directions
Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogín, et al.
User Modeling and User-Adapted Interaction (2023) Vol. 34, Iss. 1, pp. 59-108
Open Access | Times Cited: 88
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
AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications
Pu Chen, Linna Wu, Lei Wang
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10258-10258
Open Access | Times Cited: 51
Demographic bias in misdiagnosis by computational pathology models
Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, et al.
Nature Medicine (2024) Vol. 30, Iss. 4, pp. 1174-1190
Closed Access | Times Cited: 22
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: 20
An empirical characterization of fair machine learning for clinical risk prediction
Stephen Pfohl, Agata Foryciarz, Nigam H. Shah
Journal of Biomedical Informatics (2020) Vol. 113, pp. 103621-103621
Open Access | Times Cited: 108
Assessing public value failure in government adoption of artificial intelligence
Daniel Schiff, Kaylyn Jackson Schiff, Patrick Pierson
Public Administration (2021) Vol. 100, Iss. 3, pp. 653-673
Closed Access | Times Cited: 59
On the Applicability of Machine Learning Fairness Notions
Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi
ACM SIGKDD Explorations Newsletter (2021) Vol. 23, Iss. 1, pp. 14-23
Closed Access | Times Cited: 58
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey
Mingyang Wan, Daochen Zha, Ninghao Liu, et al.
ACM Transactions on Knowledge Discovery from Data (2022) Vol. 17, Iss. 3, pp. 1-27
Open Access | Times Cited: 53
Learning Fair Node Representations with Graph Counterfactual Fairness
Jing Ma, Ruocheng Guo, Mengting Wan, et al.
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022)
Open Access | Times Cited: 49
Measuring Fairness in Ranked Results
Amifa Raj, Michael D. Ekstrand
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 726-736
Closed Access | Times Cited: 38
Improving Recommendation Fairness via Data Augmentation
Lei Chen, Le Wu, Kun Zhang, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 1012-1020
Open Access | Times Cited: 27
Fairness Perceptions of Artificial Intelligence: A Review and Path Forward
Devesh Narayanan, Mahak Nagpal, Jack McGuire, et al.
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 1, pp. 4-23
Closed Access | Times Cited: 27
A translational perspective towards clinical AI fairness
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 26
Inherent Limitations of AI Fairness
Maarten Buyl, Tijl De Bie
Communications of the ACM (2024) Vol. 67, Iss. 2, pp. 48-55
Open Access | Times Cited: 14
A Framework for Assurance Audits of Algorithmic Systems
Khoa T. Lam, Benjamin Lange, Borhane Blili-Hamelin, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 38, pp. 1078-1092
Open Access | Times Cited: 9
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
Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI
Sandra Wachter, Brent Mittelstadt, Chris Russell
SSRN Electronic Journal (2020)
Open Access | Times Cited: 58
Human Judgment in algorithmic loops: Individual justice and automated decision‐making
Reuben Binns
Regulation & Governance (2020) Vol. 16, Iss. 1, pp. 197-211
Open Access | Times Cited: 56
Formalising trade-offs beyond algorithmic fairness: lessons from ethical philosophy and welfare economics
Michelle Seng Ah Lee, Luciano Floridi, Jatinder Singh
AI and Ethics (2021) Vol. 1, Iss. 4, pp. 529-544
Open Access | Times Cited: 51
I agree with the decision, but they didn't deserve this
Maria Kasinidou, Styliani Kleanthous, Pınar Barlas, et al.
(2021), pp. 690-700
Open Access | Times Cited: 42
Machine learning fairness notions: Bridging the gap with real-world applications
Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi
Information Processing & Management (2021) Vol. 58, Iss. 5, pp. 102642-102642
Open Access | Times Cited: 42
Toward Involving End-users in Interactive Human-in-the-loop AI Fairness
Yuri Nakao, Simone Stumpf, Subeida Ahmed, et al.
ACM Transactions on Interactive Intelligent Systems (2022) Vol. 12, Iss. 3, pp. 1-30
Open Access | Times Cited: 35
The Use of Responsible Artificial Intelligence Techniques in the Context of Loan Approval Processes
Erasmo Purificato, Flavio Lorenzo, Francesca Fallucchi, et al.
International Journal of Human-Computer Interaction (2022) Vol. 39, Iss. 7, pp. 1543-1562
Closed Access | Times Cited: 34
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