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.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
Andrea Tocchetti, Lorenzo Corti, Agathe Balayn, et al.
ACM Computing Surveys (2024)
Open Access | Times Cited: 4
Andrea Tocchetti, Lorenzo Corti, Agathe Balayn, et al.
ACM Computing Surveys (2024)
Open Access | Times Cited: 4
Showing 4 citing articles:
Educating artificial intelligence following the child learning development trajectories
Sara Peretti, Federica Caruso, Giacomo Valente, et al.
Behaviour and Information Technology (2025), pp. 1-17
Closed Access
Sara Peretti, Federica Caruso, Giacomo Valente, et al.
Behaviour and Information Technology (2025), pp. 1-17
Closed Access
On the Robustness of ML-Based Network Intrusion Detection Systems: An Adversarial and Distribution Shift Perspective
Minxiao Wang, Ning Yang, Dulaj Gunasinghe, et al.
Computers (2023) Vol. 12, Iss. 10, pp. 209-209
Open Access | Times Cited: 6
Minxiao Wang, Ning Yang, Dulaj Gunasinghe, et al.
Computers (2023) Vol. 12, Iss. 10, pp. 209-209
Open Access | Times Cited: 6
Robustness in trajectory prediction for autonomous vehicles: a survey
Jeroen Hagenus, Frederik Baymler Mathiesen, Julian F. Schumann, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2024), pp. 969-976
Closed Access
Jeroen Hagenus, Frederik Baymler Mathiesen, Julian F. Schumann, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2024), pp. 969-976
Closed Access
The AI Act and Some Implications for Developing AI-Based Systems
Martin Leucker
Lecture notes in computer science (2024), pp. 202-214
Closed Access
Martin Leucker
Lecture notes in computer science (2024), pp. 202-214
Closed Access
