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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:

Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper, Emanuel Moss, Benjamin Laufer, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 864-876
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Accountability in artificial intelligence: what it is and how it works
Claudio Novelli, Mariarosaria Taddeo, Luciano Floridi
AI & Society (2023) Vol. 39, Iss. 4, pp. 1871-1882
Open Access | Times Cited: 124
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
Renee Shelby, Shalaleh Rismani, Kathryn Henne, et al.
(2023), pp. 723-741
Open Access | Times Cited: 94
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice
Fernando Delgado, Stephen Yang, Michael Madaio, et al.
(2023), pp. 1-23
Open Access | Times Cited: 69
Virtual Safety Engineer: From Hazard Identification to Risk Control in the Age of AI
Mohammad Yazdi, Sidum Adumene, Daniel Tamunodukobipi, et al.
Studies in systems, decision and control (2025), pp. 91-110
Closed Access | Times Cited: 2
An Introduction to Generative Artificial Intelligence in Mental Health Care: Considerations and Guidance
Darlene R. King, Guransh Nanda, Joel Stoddard, et al.
Current Psychiatry Reports (2023) Vol. 25, Iss. 12, pp. 839-846
Closed Access | Times Cited: 30
Multi-Objective Hyperparameter Optimization in Machine Learning—An Overview
Florian Karl, Tobias Pielok, Julia Moosbauer, et al.
ACM Transactions on Evolutionary Learning and Optimization (2023) Vol. 3, Iss. 4, pp. 1-50
Open Access | Times Cited: 28
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
A. Feder Cooper, Katherine Lee, Madiha Zahrah Choksi, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 20, pp. 22004-22012
Open Access | Times Cited: 10
Visibility into AI Agents
Alan Chan, Carson Ezell, M. R. Kaufmann, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 958-973
Open Access | Times Cited: 9
Keywords of the Datafied State
Jenna Burrell, Ranjit Singh, P.W. Davison
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 7
Trustworthy machine learning in the context of security and privacy
Ramesh Upreti, Pedro G. Lind, Ahmed Elmokashfi, et al.
International Journal of Information Security (2024) Vol. 23, Iss. 3, pp. 2287-2314
Open Access | Times Cited: 7
Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability
Boming Xia, Qinghua Lu, Liming Zhu, et al.
(2024) Vol. 2894, pp. 100-111
Open Access | Times Cited: 6
Public procurement of artificial intelligence systems: new risks and future proofing
Merve Hickok
AI & Society (2022) Vol. 39, Iss. 3, pp. 1213-1227
Open Access | Times Cited: 27
From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML
Shalaleh Rismani, Renee Shelby, Andrew Smart, et al.
(2023), pp. 1-18
Open Access | Times Cited: 16
Blaming Humans and Machines: What Shapes People’s Reactions to Algorithmic Harm
Gabriel Lima, Nina Grgić-Hlača, Meeyoung Cha
(2023), pp. 1-26
Open Access | Times Cited: 14
Talkin' 'Bout AI Generation
Katherine Lee, A. Feder Cooper, James Grimmelmann
(2024), pp. 48-63
Open Access | Times Cited: 5
“Hey SyRI, tell me about algorithmic accountability”: Lessons from a landmark case
Maranke Wieringa
Data & Policy (2023) Vol. 5
Open Access | Times Cited: 11
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
Conrad Sanderson, David C. Douglas, Qinghua Lu
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-7
Open Access | Times Cited: 10
A new era of public procurement: critical issues of procuring artificial intelligence systems to produce public services
Karem Sayed Aboelazm
International Journal of Law and Management (2025)
Closed Access
A Review of How Different Views on Ethics Shape Perceptions of Morality and Responsibility within AI Transformation
Teresa Hammerschmidt, Alina Hafner, Katharina Stolz, et al.
Information Systems Frontiers (2025)
Open Access
Logging requirement for continuous auditing of responsible machine learning-based applications
Patrick Loic Foalem, Léuson Da Silva, Foutse Khomh, et al.
Empirical Software Engineering (2025) Vol. 30, Iss. 3
Closed Access
Generative AI in Virtual Reality Communities: A Preliminary Analysis of the VRChat Discord Community
H. Zhang, Siyu Zha, Jie Cai, et al.
(2025), pp. 1-11
Closed Access
Mapping dominant AI schools to multiple accountability types
Marc T.J Elliott, P Deepak, Muiris MacCárthaigh
Transforming Government People Process and Policy (2025)
Closed Access
Conceptualizing Algorithmic Stigmatization
Nazanin Andalibi, Cassidy Pyle, Kristen Barta, et al.
(2023), pp. 1-18
Open Access | Times Cited: 9
Unravelling Responsibility for Ai
Zoë Porter, Philippa Ryan, Phillip Morgan, et al.
(2024)
Open Access | Times Cited: 2
Exploring the Landscape of Ubiquitous In-Home Health Monitoring: A Comprehensive Survey
Farhad Pourpanah, Ali Etemad
ACM Transactions on Computing for Healthcare (2024) Vol. 5, Iss. 4, pp. 1-43
Open Access | Times Cited: 2
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