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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:

Reviewable Automated Decision-Making
Jennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh
(2021), pp. 598-609
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Auditing large language models: a three-layered approach
Jakob Mökander, Jonas Schuett, Hannah Rose Kirk, et al.
AI and Ethics (2023) Vol. 4, Iss. 4, pp. 1085-1115
Open Access | Times Cited: 85
AI and Global Governance: Modalities, Rationales, Tensions
Michael Veale, Kira Matus, Robert Gorwa
Annual Review of Law and Social Science (2023) Vol. 19, Iss. 1, pp. 255-275
Open Access | Times Cited: 48
Auditing of AI: Legal, Ethical and Technical Approaches
Jakob Mökander
Deleted Journal (2023) Vol. 2, Iss. 3
Open Access | Times Cited: 44
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: 24
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits
Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 473-484
Open Access | Times Cited: 56
Ethical assurance: a practical approach to the responsible design, development, and deployment of data-driven technologies
Christopher Burr, David Leslie
AI and Ethics (2022) Vol. 3, Iss. 1, pp. 73-98
Open Access | Times Cited: 49
Continuous Auditing of Artificial Intelligence: a Conceptualization and Assessment of Tools and Frameworks
Matti Minkkinen, Joakim Laine, Matti Mäntymäki
Deleted Journal (2022) Vol. 1, Iss. 3
Open Access | Times Cited: 49
Operationalising AI governance through ethics-based auditing: an industry case study
Jakob Mökander, Luciano Floridi
AI and Ethics (2022) Vol. 3, Iss. 2, pp. 451-468
Open Access | Times Cited: 48
Stakeholder roles in artificial intelligence projects
Gloria J. Miller
Project Leadership and Society (2022) Vol. 3, pp. 100068-100068
Open Access | Times Cited: 40
Understanding accountability in algorithmic supply chains
Jennifer Cobbe, Michael Veale, Jatinder Singh
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1186-1197
Open Access | Times Cited: 38
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: 53
The Conflict Between Explainable and Accountable Decision-Making Algorithms
Gabriel Lima, Nina Grgić-Hlača, Jin Keun Jeong, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 2103-2113
Open Access | Times Cited: 29
Contestable AI by Design: Towards a Framework
Kars Alfrink, Ianus Keller, Gerd Kortuem, et al.
Minds and Machines (2022) Vol. 33, Iss. 4, pp. 613-639
Open Access | Times Cited: 28
Possible Bias in Supervised Deep Learning Algorithms for CT Lung Nodule Detection and Classification
Nikos Sourlos, Jingxuan Wang, Yeshaswini Nagaraj, et al.
Cancers (2022) Vol. 14, Iss. 16, pp. 3867-3867
Open Access | Times Cited: 24
Out of Context: Investigating the Bias and Fairness Concerns of “Artificial Intelligence as a Service”
Kornel Lewicki, Michelle Seng Ah Lee, Jennifer Cobbe, et al.
(2023), pp. 1-17
Open Access | Times Cited: 15
Disclosure by Design: Designing information disclosures to support meaningful transparency and accountability
Chris Norval, Kristin B. Cornelius, Jennifer Cobbe, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 679-690
Open Access | Times Cited: 22
Lessons Learned from Assessing Trustworthy AI in Practice
Dennis Vetter, Julia Amann, Frédérick Bruneault, et al.
Deleted Journal (2023) Vol. 2, Iss. 3
Open Access | Times Cited: 13
“Hey SyRI, tell me about algorithmic accountability”: Lessons from a landmark case
Maranke Wieringa
Data & Policy (2023) Vol. 5
Open Access | Times Cited: 11
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: 4
A Typology of Explanations for Explainability-by-Design
Niko Tsakalakis, Sophie Stalla-Bourdillon, Trung Dong Huynh, et al.
SSRN Electronic Journal (2025)
Open Access
Framework for Managing Artificial Intelligence (AI) Projects: Avoiding Harms, Losses, and Damages
Gloria J. Miller
(2025), pp. 135-162
Open Access
AI, Refugee Status Determination, and Human Dignity
Abhinash Mohanta, Kyvalya Garikapati, N. Sarangi, et al.
Advances in human and social aspects of technology book series (2025), pp. 285-320
Closed Access
The landscape of Artificial Intelligence Driven Digital Platforms in Healthcare and Life Sciences: A Scoping Review Towards Universal Integration (Preprint)
Rahela Penovski, Stanko Srčič, Reinhold Scherer
(2025)
Closed Access
Checks and balances under pressure in the welfare state: Disentangling the rule of law risks of automation and welfare conditionality
Maarten Bouwmeester
European Journal of Social Security (2025)
Closed Access
Intimate Data Sharing: Enhancing Transparency and Control in Fertility Tracking
Anna Ida Hudig, Jatinder Singh
(2025), pp. 1-24
Closed Access
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