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:
Explainable AI: roles and stakeholders, desirements and challenges
Robert R. Hoffman, Shane T. Mueller, Gary Klein, et al.
Frontiers in Computer Science (2023) Vol. 5
Open Access | Times Cited: 6
Robert R. Hoffman, Shane T. Mueller, Gary Klein, et al.
Frontiers in Computer Science (2023) Vol. 5
Open Access | Times Cited: 6
Showing 6 citing articles:
Research Agenda for Sociotechnical Approaches to AI Safety
Samuel M. Curtis, Ravi Iyer, Cameron Domenico Kirk‐Giannini, et al.
(2025)
Closed Access
Samuel M. Curtis, Ravi Iyer, Cameron Domenico Kirk‐Giannini, et al.
(2025)
Closed Access
Increasing the Value of XAI for Users: A Psychological Perspective
Robert R. Hoffman, Timothy M. Miller, Gary Klein, et al.
KI - Künstliche Intelligenz (2023) Vol. 37, Iss. 2-4, pp. 237-247
Open Access | Times Cited: 6
Robert R. Hoffman, Timothy M. Miller, Gary Klein, et al.
KI - Künstliche Intelligenz (2023) Vol. 37, Iss. 2-4, pp. 237-247
Open Access | Times Cited: 6
XAI is in trouble
Rosina O. Weber, Adam J. Johs, Prateek Goel, et al.
AI Magazine (2024) Vol. 45, Iss. 3, pp. 300-316
Open Access
Rosina O. Weber, Adam J. Johs, Prateek Goel, et al.
AI Magazine (2024) Vol. 45, Iss. 3, pp. 300-316
Open Access
FairAD-XAI: Evaluation Framework for Explainable AI Methods in Alzheimer's Disease Detection with Fairness-in-the-loop
Quoc Toan Nguyen, Linh Le, Xuan-The Tran, et al.
(2024), pp. 870-876
Closed Access
Quoc Toan Nguyen, Linh Le, Xuan-The Tran, et al.
(2024), pp. 870-876
Closed Access
How do ML practitioners perceive explainability? an interview study of practices and challenges
Umm-e- Habiba, Mohammad Kasra Habib, Justus Bogner, et al.
Empirical Software Engineering (2024) Vol. 30, Iss. 1
Open Access
Umm-e- Habiba, Mohammad Kasra Habib, Justus Bogner, et al.
Empirical Software Engineering (2024) Vol. 30, Iss. 1
Open Access
Explanation needs and ethical demands: unpacking the instrumental value of XAI
Suzana Alpsancar, Heike M. Buhl, Tobias Matzner, et al.
AI and Ethics (2024)
Open Access
Suzana Alpsancar, Heike M. Buhl, Tobias Matzner, et al.
AI and Ethics (2024)
Open Access
