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:
A Critical Survey on Fairness Benefits of Explainable AI
Luca Deck, Jakob Schoeffer, Maria De‐Arteaga, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024)
Open Access | Times Cited: 7
Luca Deck, Jakob Schoeffer, Maria De‐Arteaga, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024)
Open Access | Times Cited: 7
Showing 7 citing articles:
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: 24
José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, et al.
Ethics and Information Technology (2024) Vol. 26, Iss. 2
Open Access | Times Cited: 24
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Jakob Schoeffer, Maria De‐Arteaga, Niklas Kühl
(2024), pp. 1-18
Open Access | Times Cited: 20
Jakob Schoeffer, Maria De‐Arteaga, Niklas Kühl
(2024), pp. 1-18
Open Access | Times Cited: 20
The Utilization of Artificial Intelligence in Higher Education Institutions in Germany
Christopher Bohlens
Advances in educational technologies and instructional design book series (2025), pp. 321-358
Closed Access
Christopher Bohlens
Advances in educational technologies and instructional design book series (2025), pp. 321-358
Closed Access
Conceptualizing understanding in explainable artificial intelligence (XAI): an abilities-based approach
Timo Speith, Barnaby Crook, Sara Mann, et al.
Ethics and Information Technology (2024) Vol. 26, Iss. 2
Open Access | Times Cited: 3
Timo Speith, Barnaby Crook, Sara Mann, et al.
Ethics and Information Technology (2024) Vol. 26, Iss. 2
Open Access | Times Cited: 3
Ethics in AI for energy systems safety
Rajeevan Arunthavanathan, Zaman Sajid, Md. Tanjin Amin
Methods in chemical process safety (2024)
Closed Access | Times Cited: 1
Rajeevan Arunthavanathan, Zaman Sajid, Md. Tanjin Amin
Methods in chemical process safety (2024)
Closed Access | Times Cited: 1
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
Explainability and Transparency in Practice: A Comparison Between Corporate and National AI Ethics Guidelines in Germany and China
Timo Speith, Jing Xu
Lecture notes in computer science (2024), pp. 205-223
Closed Access
Timo Speith, Jing Xu
Lecture notes in computer science (2024), pp. 205-223
Closed Access
