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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 31 citing articles:

Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice
Wesley Hanwen Deng, Nur Yildirim, Monica Chang, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 705-716
Open Access | Times Cited: 26
Trust in AI-assisted Decision Making: Perspectives from Those Behind the System and Those for Whom the Decision is Made
Oleksandra Vereschak, Fatemeh Alizadeh, Gilles Bailly, et al.
(2024), pp. 1-14
Open Access | Times Cited: 5
Unboxing Manipulation Checks for Voice UX
Katie Seaborn, Katja Rogers, Maximilian Altmeyer, et al.
Interacting with Computers (2025)
Open Access
Transparency in AI for emergency management: building trust and accountability
Jaideep Visave
AI and Ethics (2025)
Open Access
Counterfactual Explanations May Not Be the Best Algorithmic Recourse Approach
Sohini Upadhyay, Himabindu Lakkaraju, Krzysztof Z. Gajos
(2025), pp. 446-462
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
Human-Centered Evaluation and Auditing of Language Models
Ziang Xiao, Wesley Hanwen Deng, Michelle S. Lam, et al.
(2024), pp. 1-6
Open Access | Times Cited: 3
NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems
Johannes Kruse, Lien Michiels, Alain D. Starke, et al.
(2024)
Closed Access | Times Cited: 2
NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems
Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, et al.
(2023), pp. 1252-1254
Open Access | Times Cited: 5
Ethics in the Age of Algorithms: Unravelling the Impact of Algorithmic Unfairness on Data Analytics Recommendation Acceptance
Maryam Ghasemaghaei, Nima Kordzadeh
Information Systems Journal (2024)
Open Access | Times Cited: 1
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features
Navita Goyal, Connor Baumler, Tin Nguyen, et al.
(2024) Vol. 104, pp. 155-180
Open Access | Times Cited: 1
Mind The Gap: Designers and Standards on Algorithmic System Transparency for Users
Bianca Giulia Sarah Schor, Chris Norval, Ellen Charlesworth, et al.
(2024), pp. 1-16
Open Access | Times Cited: 1
``It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine
Lorenzo Corti, Rembrandt Oltmans, Jiwon Jung, et al.
(2024), pp. 1-21
Open Access | Times Cited: 1
Understanding Contestability on the Margins: Implications for the Design of Algorithmic Decision-making in Public Services
Naveena Karusala, Sohini Upadhyay, Rajesh Veeraraghavan, et al.
(2024), pp. 1-16
Open Access | Times Cited: 1
How the Types of Consequences in Social Scoring Systems Shape People's Perceptions and Behavioral Reactions
Carmen Loefflad, Jens Großklags
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 4, pp. 1515-1530
Open Access | Times Cited: 1
Fairness and Transparency in Music Recommender Systems: Improvements for Artists
Karlijn Dinnissen
(2024), pp. 1368-1375
Open Access
NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems
Alain D. Starke, Sanne Vrijenhoek, Lien Michiels, et al.
(2024), pp. 1242-1244
Open Access
(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court
Angela Jin, Niloufar Salehi
(2024), pp. 1-19
Open Access
Contesting efficacy: Tensions between risk and inclusion in computer vision technology
Morgan Klaus Scheuerman
Future Humanities (2024) Vol. 2, Iss. 1-2
Closed Access
Why the Fine, AI? The Effect of Explanation Level on Citizens' Fairness Perception of AI-based Discretion in Public Administrations
Saja Aljuneidi, Wilko Heuten, Larbi Abdenebaoui, et al.
(2024), pp. 1-18
Open Access
I lose vs. I earn: Consumer perceived price fairness toward algorithmic (vs. human) price discrimination
Zhang Xiao-ping, Xusen Cheng
(2024), pp. 1-17
Open Access
Practising Appropriate Trust in Human-Centred AI Design
Chadha Degachi, Siddharth Mehrotra, Mireia Yurrita, et al.
(2024), pp. 1-8
Open Access
Explainable Artificial Intelligence for Academic Performance Prediction. An Experimental Study on the Impact of Accuracy and Simplicity of Decision Trees on Causability and Fairness Perceptions
Marco Lünich, Birte Keller
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 1031-1042
Open Access
Actionable Recourse for Automated Decisions: Examining the Effects of Counterfactual Explanation Type and Presentation on Lay User Understanding
Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 5, pp. 1682-1700
Open Access
Balancing Act: Evaluating People’s Perceptions of Fair Ranking Metrics
Mallak Alkhathlan, Kathleen Cachel, Hilson Shrestha, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 12, pp. 1940-1970
Open Access
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