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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:

Varieties of AI Explanations Under the Law. From the GDPR to the AIA, and Beyond
Philipp Hacker, Jan-Hendrik Passoth
Lecture notes in computer science (2022), pp. 343-373
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

From attribution maps to human-understandable explanations through Concept Relevance Propagation
Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 9, pp. 1006-1019
Open Access | Times Cited: 62
The black box problem revisited. Real and imaginary challenges for automated legal decision making
Bartosz Brożek, Michał Furman, Marek Jakubiec, et al.
Artificial Intelligence and Law (2023) Vol. 32, Iss. 2, pp. 427-440
Open Access | Times Cited: 38
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper, Carson Ezell, Charlotte Siegmann, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 2254-2272
Open Access | Times Cited: 13
Artificial Intelligence
Lorella Bottino, Marzia Settino, Mario Cannataro
(2024), pp. 11-23
Closed Access | Times Cited: 9
Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning and Law
Meike Zehlike, Alex J. Loosley, Håkan Jönsson, et al.
Artificial Intelligence (2025), pp. 104280-104280
Open Access
Responsible guidelines for authorship attribution tasks in NLP
Vageesh Saxena, Aurelia Tamò‐Larrieux, Gijs van Dijck, et al.
Ethics and Information Technology (2025) Vol. 27, Iss. 2
Open Access
How Do ML Students Explain Their Models and What Can We Learn from This?
Ulrik Franke
Lecture notes in business information processing (2025), pp. 351-365
Closed Access
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society

(2024)
Open Access | Times Cited: 4
A Confusion Matrix for Evaluating Feature Attribution Methods
Anna Arias-Duart, Ettore Mariotti, Dario García-Gasulla, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 3709-3714
Open Access | Times Cited: 10
SPChain: A Smart and Private Blockchain-Enabled Framework for Combining GDPR-Compliant Digital Assets Management With AI Models
Wei-Shan Lee, A John, Hsiu-Chun Hsu, et al.
IEEE Access (2022) Vol. 10, pp. 130424-130443
Closed Access | Times Cited: 15
An Explainable AI-Based Framework for Supporting Decisions in Energy Management
Elissaios Sarmas, Dimitrios P. Panagoulias, George A. Tsihrintzis, et al.
Learning and analytics in intelligent systems (2024), pp. 1-27
Closed Access | Times Cited: 2
Operationalizing Explainable Artificial Intelligence in the European Union Regulatory Ecosystem
Luca Nannini, José M. Alonso, Alejandro Català, et al.
IEEE Intelligent Systems (2024) Vol. 39, Iss. 4, pp. 37-48
Open Access | Times Cited: 2
Being Right for Whose Right Reasons?
Terne Sasha Thorn Jakobsen, Laura Cabello, Anders Søgaard
(2023)
Open Access | Times Cited: 6
The Tower of Babel in Explainable Artificial Intelligence (XAI)
David Schneeberger, Richard Röttger, Federico Cabitza, et al.
Lecture notes in computer science (2023), pp. 65-81
Open Access | Times Cited: 6
Bridging the Transparency Gap: What Can Explainable AI Learn from the AI Act?
Balint Gyevnar, Nick Ferguson, Burkhard Schäfer
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 6
Bridging the Transparency Gap: What Can Explainable AI Learn From the AI Act?
Balint Gyevnar, Nick Ferguson, Burkhard Schäfer
arXiv (Cornell University) (2023)
Open Access | Times Cited: 5
Ethics of Artificial Intelligence and Robotics in the Architecture, Engineering, and Construction Industry
Ci-Jyun Liang, Thai-Hoa Le, Youngjib Ham, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 5
Rescuing transparency in the digital economy: in search of a common notion in EU consumer and data protection law
Agnieszka Jabłonowska, Giacomo Tagiuri
Yearbook of European Law (2023) Vol. 42, pp. 347-387
Open Access | Times Cited: 4
A Critical Survey on Fairness Benefits of XAI
Luca Deck, Jakob Schoeffer, Maria De‐Arteaga, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation
Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 4
Applying DOI Theory to Assess the Required Level of Explainability in Artificial Intelligence-empowered Medical Applications
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
(2023), pp. 1-7
Closed Access | Times Cited: 2
Explainable Artificial Intelligence (XAI) for Oncological Ultrasound Image Analysis: A Systematic Review
Lucie S. Wyatt, Lennard van Karnenbeek, Mark Wijkhuizen, et al.
(2024)
Open Access
Navigating data governance risks: Facial recognition in law enforcement under EU legislation
Gizem Gültekin-Várkonyi
Internet Policy Review (2024) Vol. 13, Iss. 3
Open Access
Society in charge: the connection of artificial intelligence, responsibility, and ethics in German media discourse
Marek Winkel
AI and Ethics (2024)
Open Access
Towards Transparent AI: How will the AI Act Shape the Future?
Nídia Andrade Moreira, Pedro Miguel Freitas, Paulo Nováis
Lecture notes in computer science (2024), pp. 296-307
Closed Access
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