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:

Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation
Jakob Mökander, Maria Axente, Federico Casolari, et al.
Minds and Machines (2021) Vol. 32, Iss. 2, pp. 241-268
Open Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation
Natalia Díaz-Rodríguez, Javier Del Ser, Mark Coeckelbergh, et al.
Information Fusion (2023) Vol. 99, pp. 101896-101896
Open Access | Times Cited: 296

Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk
Johann Laux, Sandra Wachter, Brent Mittelstadt
Regulation & Governance (2023) Vol. 18, Iss. 1, pp. 3-32
Open Access | Times Cited: 112

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

Auditing of AI: Legal, Ethical and Technical Approaches
Jakob Mökander
Deleted Journal (2023) Vol. 2, Iss. 3
Open Access | Times Cited: 44

Mapping the Ethics of Generative AI: A Comprehensive Scoping Review
Thilo Hagendorff
Minds and Machines (2024) Vol. 34, Iss. 4
Open Access | Times Cited: 24

Ethics-based AI auditing: A systematic literature review on conceptualizations of ethical principles and knowledge contributions to stakeholders
Joakim Laine, Matti Minkkinen, Matti Mäntymäki
Information & Management (2024) Vol. 61, Iss. 5, pp. 103969-103969
Open Access | Times Cited: 19

Transforming Financial Reporting with AI: Enhancing Accuracy and Timeliness
Bernard Owusu Antwi, Beatrice Oyinkansola Adelakun, Augustine Obinna Eziefule
International Journal of Advanced Economics (2024) Vol. 6, Iss. 6, pp. 205-223
Open Access | Times Cited: 18

Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI
Polat Göktaş, Andrzej Grzybowski
Journal of Clinical Medicine (2025) Vol. 14, Iss. 5, pp. 1605-1605
Open Access | Times Cited: 3

Exploring AI-in-the-making: Sociomaterial genealogies of AI performativity
Susan Scott, Wanda J. Orlikowski
Information and Organization (2025) Vol. 35, Iss. 1, pp. 100558-100558
Open Access | Times Cited: 2

The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?
Jakob Mökander, Prathm Juneja, David Watson, et al.
Minds and Machines (2022) Vol. 32, Iss. 4, pp. 751-758
Open Access | Times Cited: 58

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

Legal Aspects of the Use Artificial Intelligence in Telemedicine
Chiara Gallese
Journal of Digital Technologies and Law (2023) Vol. 1, Iss. 2, pp. 314-336
Open Access | Times Cited: 27

Artificial intelligence regulation in the United Kingdom: a path to good governance and global leadership?
Huw Roberts, Alexander Babuta, Jessica Morley, et al.
Internet Policy Review (2023) Vol. 12, Iss. 2
Open Access | Times Cited: 25

Artificial intelligence and the future of the internal audit function
Fekadu Agmas Wassie, László Péter Lakatos
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
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

Deploying artificial intelligence in services to AID vulnerable consumers
Erik Hermann, Gizem Yalcin Williams, Stefano Puntoni
Journal of the Academy of Marketing Science (2023) Vol. 52, Iss. 5, pp. 1431-1451
Open Access | Times Cited: 20

They shall be fair, transparent, and robust: auditing learning analytics systems
Katharina Simbeck
AI and Ethics (2023) Vol. 4, Iss. 2, pp. 555-571
Open Access | Times Cited: 18

AI Regulation Is (not) All You Need
Laura Lucaj, Patrick van der Smagt, Djalel Benbouzid
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1267-1279
Closed Access | Times Cited: 18

AI-Driven risk assessment: Revolutionizing audit planning and execution
Ebere Ruth Onwubuariri, Beatrice Oyinkansola Adelakun, Omolara Patricia Olaiya, et al.
Finance & Accounting Research Journal (2024) Vol. 6, Iss. 6, pp. 1069-1090
Open Access | Times Cited: 8

The case for a broader approach to AI assurance: addressing “hidden” harms in the development of artificial intelligence
Christopher E. Thomas, Huw Roberts, Jakob Mökander, et al.
AI & Society (2024)
Open Access | Times Cited: 6

Neuromarketing and Eye-Tracking Technologies Under the European Framework: Towards the GDPR and Beyond
Ludovica Sposini
Journal of Consumer Policy (2024) Vol. 47, Iss. 3, pp. 321-344
Open Access | Times Cited: 5

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