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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:

Beyond explainability: justifiability and contestability of algorithmic decision systems
Clément Henin, Daniel Le Métayer
AI & Society (2021) Vol. 37, Iss. 4, pp. 1397-1410
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
Luca Longo, Mario Brčić, Federico Cabitza, et al.
Information Fusion (2024) Vol. 106, pp. 102301-102301
Open Access | Times Cited: 120
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: 17
Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability
Mireia Yurrita, Tim Draws, Agathe Balayn, et al.
(2023), pp. 1-21
Open Access | Times Cited: 31
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
Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows
Himanshu Verma, Jakub Mlynář, Roger Schaer, et al.
(2023), pp. 1-19
Open Access | Times Cited: 19
Licensing high-risk artificial intelligence: Toward ex ante justification for a disruptive technology
Gianclaudio Malgieri, Frank Pasquale
Computer Law & Security Review (2023) Vol. 52, pp. 105899-105899
Open Access | Times Cited: 17
Ebenen der Explizierbarkeit für medizinische künstliche Intelligenz: Was brauchen wir normativ und was können wir technisch erreichen?
Frank Ursin, Felix Lindner, Timo Ropinski, et al.
Ethik in der Medizin (2023) Vol. 35, Iss. 2, pp. 173-199
Open Access | Times Cited: 16
Fundamentals on transparency, reproducibility, and validation
Sorina Camarasu-Pop, Gaël Vila, Tristan Glatard, et al.
Elsevier eBooks (2025), pp. 155-176
Open Access
AI, Ethics and Philosophy

Cambridge University Press eBooks (2025), pp. 15-130
Closed Access
Ethics of AI
Stefan Buijsman, Michael Klenk, Jeroen van den Hoven
Cambridge University Press eBooks (2025), pp. 59-78
Closed Access
Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute
Kars Alfrink, Ianus Keller, Neelke Doorn, et al.
(2023), pp. 1-16
Open Access | Times Cited: 12
Towards a multi-stakeholder value-based assessment framework for algorithmic systems
Mireia Yurrita, Dave Murray-Rust, Agathe Balayn, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 535-563
Open Access | Times Cited: 20
Using artificial intelligence to enhance patient autonomy in healthcare decision-making
José Luis Guerrero Quiñones
AI & Society (2024)
Closed Access | Times Cited: 3
Artificial Intelligence Risks and Algorithmic Regulation
Pedro Rubim Borges Fortes, Pablo Marcello Baquero, David Restrepo Amariles
European Journal of Risk Regulation (2022) Vol. 13, Iss. 3, pp. 357-372
Open Access | Times Cited: 15
Transparency in AI
Tolgahan Toy
AI & Society (2023) Vol. 39, Iss. 6, pp. 2841-2851
Closed Access | Times Cited: 6
Concise rule induction algorithm based on one-sided maximum decision tree approach
Jung-Sik Hong, Jeongeon Lee, Min Kyu Sim
Expert Systems with Applications (2023) Vol. 237, pp. 121365-121365
Closed Access | Times Cited: 5
Data Protection Issues in Automated Decision-Making Systems Based on Machine Learning: Research Challenges
Paraskevi Christodoulou, Konstantinos Limniotis
Network (2024) Vol. 4, Iss. 1, pp. 91-113
Open Access | Times Cited: 1
``It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine
Lorenzo Corti, Rembrandt Oltmans, Jiwon Jung, et al.
(2024), pp. 1-21
Open Access | Times Cited: 1
Artificial intelligence in medical education: Typologies and ethical approaches
Agnieszka Pręgowska, Mark D. Perkins
Ethics & bioethics (2024) Vol. 14, Iss. 1-2, pp. 96-113
Open Access | Times Cited: 1
Envisioning Contestability Loops: Evaluating the Agonistic Arena as a Generative Metaphor for Public AI
Kars Alfrink, Ianus Keller, Mireia Yurrita, et al.
She ji (2024) Vol. 10, Iss. 1, pp. 53-93
Open Access | Times Cited: 1
Artificial Intelligence in Organizational Communication: Challenges, Opportunities, and Implications
Ib Tunby Gulbrandsen, Sine Nørholm Just
New perspectives in organizational communication (2024), pp. 51-77
Closed Access | Times Cited: 1
Trust, trustworthiness and AI governance
Christian Lahusen, Martino Maggetti, Marija Slavkovik
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Responsibility gaps and the reactive attitudes
Fabio Tollon
AI and Ethics (2022) Vol. 3, Iss. 1, pp. 295-302
Open Access | Times Cited: 7
Causal Discovery and Knowledge Injection for Contestable Neural Networks
F. Russo, Francesca Toni
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 3
Decision Time: Normative Dimensions of Algorithmic Speed
Daniel Susser
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1410-1420
Open Access | Times Cited: 5
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