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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:

Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem
Sasha Costanza-Chock, Inioluwa Deborah Raji, Joy Buolamwini
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1571-1583
Open Access | Times Cited: 96

Showing 26-50 of 96 citing articles:

Moderating manipulation: Demystifying extremist tactics for gaming the (regulatory) system
Ashley A. Mattheis, Ashton Kingdon
Policy & Internet (2023) Vol. 15, Iss. 4, pp. 478-497
Open Access | Times Cited: 10
AI and ethical accounting: Navigating challenges and opportunities
Beatrice Oyinkansola Adelakun, Tomiwa Gabriel Majekodunmi, Oluwole Stephen Akintoye
International Journal of Advanced Economics (2024) Vol. 6, Iss. 6, pp. 224-241
Open Access | Times Cited: 3
Insights into suggested Responsible AI (RAI) practices in real-world settings: a systematic literature review
Tita Alissa Bach, Magnhild Kaarstad, Elizabeth Solberg, et al.
AI and Ethics (2025)
Open Access
Access Denied: Meaningful Data Access for Quantitative Algorithm Audits
Juliette Zaccour, Reuben Binns, Luc Rocher
(2025), pp. 1-31
Open Access
Auditing Algorithmic Medical Systems to Uncover AI Harms and Remedy Racial Injustice
Meredith Broussard
Oxford University Press eBooks (2025)
Closed Access
Disinformation tackling in the metaverse and the Digital Services Act
Tanel Kerikmäe, Ondrej Hamuľák, Matúš Mesarčík
Cogent Social Sciences (2025) Vol. 11, Iss. 1
Open Access
Context-specific certification of AI systems: a pilot in the financial industry
Kendall Brogle, Emma Kallina, Holli Sargeant, et al.
AI and Ethics (2025)
Open Access
Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling
Victor Ojewale, Ryan Steed, Briana Vecchione, et al.
(2025), pp. 1-29
Open Access
Unpacking Trust Dynamics in the LLM Supply Chain: An Empirical Exploration to Foster Trustworthy LLM Production & Use
Agathe Balayn, Mireia Yurrita, Fanny Rancourt, et al.
(2025), pp. 1-20
Closed Access
Practicing equity in the AI ecosystem: Co-designing solutions for sociotechnical challenges
Monique Munarini
(2025), pp. 1-5
Closed Access
Missed opportunities in AI regulation: lessons from Canada’s AI and data act
Ana Brandusescu, Renée Sieber
Data & Policy (2025) Vol. 7
Open Access
A Sociotechnical Audit: Assessing Police Use of Facial Recognition
Evani Radiya-Dixit, Gina Neff
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1334-1346
Open Access | Times Cited: 9
Trustworthy AI and the Logics of Intersectional Resistance
Bran Knowles, Jasmine Fledderjohann, John T. Richards, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 172-182
Open Access | Times Cited: 9
Open-Sourcing Highly Capable Foundation Models: An Evaluation of Risks, Benefits, and Alternative Methods for Pursuing Open-Source Objectives
Elizabeth Seger, Noemi Dreksler, Richard Moulange, et al.
SSRN Electronic Journal (2023)
Open Access | Times Cited: 9
Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets
Teanna Barrett, Quan Ze Chen, Amy X. Zhang
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1757-1771
Open Access | Times Cited: 8
Synthetic Dataset Generation for Fairer Unfairness Research
Lan Jiang, Clara Belitz, Nigel Bosch
(2024), pp. 200-209
Open Access | Times Cited: 3
Law and the Emerging Political Economy of Algorithmic Audits
Petros Terzis, Michael Veale, Noëlle Gaumann
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 24, pp. 1255-1267
Open Access | Times Cited: 3
D-hacking
Emily Black, Talia B. Gillis, Zara Yasmine Hall
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 35, pp. 602-615
Open Access | Times Cited: 3
In the Walled Garden: Challenges and Opportunities for Research on the Practices of the AI Tech Industry
Morgan Klaus Scheuerman
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 456-466
Open Access | Times Cited: 3
Addressing the regulatory gap: moving towards an EU AI audit ecosystem beyond the AI Act by including civil society
David Hartmann, José Renato Laranjeira de Pereira, Chiara Streitbörger, et al.
AI and Ethics (2024)
Open Access | Times Cited: 3
Ecosystem Graphs: The Social Footprint of Foundation Models
Rishi Bommasani, Dilara Soylu, Thomas T. Liao, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 8
Fairness Without Demographic Data: A Survey of Approaches
Carolyn Ashurst, Adrian Weller
(2023), pp. 1-12
Open Access | Times Cited: 7
A White Paper on Locational Information and the Public Interest
Michael F. Goodchild, Richard P. Appelbaum, Jeremy W. Crampton, et al.
(2022)
Open Access | Times Cited: 12
Law and the Emerging Political Economy of Algorithmic Audits
Petros Terzis, Michael Veale, Noëlle Gaumann
(2024)
Open Access | Times Cited: 2
Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams
Vanessa Aisyahsari Hanschke, Dylan Rees, Merve Alanyali, et al.
(2024), pp. 1-17
Open Access | Times Cited: 2

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