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:
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation
Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 4
Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 4
Showing 4 citing articles:
From attribution maps to human-understandable explanations through Concept Relevance Propagation
Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 9, pp. 1006-1019
Open Access | Times Cited: 65
Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 9, pp. 1006-1019
Open Access | Times Cited: 65
Space-scale exploration of the poor reliability of deep learning models: the case of the remote sensing of rooftop photovoltaic systems
Gabriel Kasmi, Laurent Dubus, Yves‐Marie Saint‐Drenan, et al.
Environmental Data Science (2025) Vol. 4
Open Access
Gabriel Kasmi, Laurent Dubus, Yves‐Marie Saint‐Drenan, et al.
Environmental Data Science (2025) Vol. 4
Open Access
Human-Centered Explanations: Lessons Learned from Image Classification for Medical and Clinical Decision Making
Bettina Finzel
KI - Künstliche Intelligenz (2024)
Open Access | Times Cited: 4
Bettina Finzel
KI - Künstliche Intelligenz (2024)
Open Access | Times Cited: 4
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
Wonjoon Chang, Dahee Kwon, Jaesik Choi
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 10, pp. 11212-11220
Open Access
Wonjoon Chang, Dahee Kwon, Jaesik Choi
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 10, pp. 11212-11220
Open Access
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts
Thomas Decker, Michael Lebacher, Volker Tresp
(2023) Vol. 33, pp. 1-6
Open Access
Thomas Decker, Michael Lebacher, Volker Tresp
(2023) Vol. 33, pp. 1-6
Open Access
