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:

Unifying Evaluation of Machine Learning Safety Monitors
Joris Guérin, Raúl Ferreira, Kévin Delmas, et al.
(2022), pp. 414-422
Open Access | Times Cited: 8

Showing 8 citing articles:

Safety Monitoring of Machine Learning Perception Functions: A Survey
Raúl Ferreira, Joris Guérin, Kévin Delmas, et al.
Computational Intelligence (2025) Vol. 41, Iss. 2
Open Access

Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 2

SiMOOD: Evolutionary Testing Simulation With Out-Of-Distribution Images
Raúl Ferreira, Joris Guérin, Jérémie Guiochet, et al.
(2022), pp. 68-77
Open Access | Times Cited: 3

Position Paper - Bringing Classifiers into Critical Systems: Are We Barking up the Wrong Tree?
Tommaso Zoppi, Fahad Ahmed Kohkar, Andrea Ceccarelli, et al.
Lecture notes in computer science (2024), pp. 351-357
Closed Access

Towards Runtime Monitoring for Responsible Machine Learning using Model-driven Engineering
Hira Naveed, John Grundy, Chetan Arora, et al.
(2024), pp. 195-202
Closed Access

Characterizing Reliability of Three-version Traffic Sign Classifier System through Diversity Metrics
Qiang Wen, Fumio Machida
(2023), pp. 333-343
Closed Access | Times Cited: 1

Runtime Monitoring of Human-Centric Requirements in Machine Learning Components: A Model-Driven Engineering Approach
Hira Naveed
2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) (2023), pp. 146-152
Open Access | Times Cited: 1

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