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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:

Towards Explainability for AI Fairness
Jianlong Zhou, Fang Chen, Andreas Holzinger
Lecture notes in computer science (2022), pp. 375-386
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Explainable artificial intelligence (XAI): Precepts, models, and opportunities for research in construction
Peter E.D. Love, Weili Fang, Jane Matthews, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102024-102024
Closed Access | Times Cited: 55
Artificial intelligence potential for net zero sustainability: Current evidence and prospects
David B. Olawade, Ojima Z. Wada, Aanuoluwapo Clement David-Olawade, et al.
Next Sustainability (2024) Vol. 4, pp. 100041-100041
Open Access | Times Cited: 18
Fundamental rights and artificial intelligence impact assessment: A new quantitative methodology in the upcoming era of AI Act
Samuele Bertaina, I Biganzoli, R. Desiante, et al.
Computer Law & Security Review (2025) Vol. 56, pp. 106101-106101
Open Access | Times Cited: 1
11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'24)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, et al.
(2024), pp. 1253-1257
Open Access | Times Cited: 5
Towards a Definition of a Responsible Artificial Intelligence
Sabrina Göllner, Marina Tropmann-Frick, Boštjan Brumen
Frontiers in artificial intelligence and applications (2024)
Open Access | Times Cited: 2
Fairness, Bias, and Ethics in AI: Exploring the Factors Affecting Student Performance
Neil Gordon, Tareq Al Jaber, Doris Omughelli
Journal of Intelligent Communication (2024) Vol. 4, Iss. 1, pp. 100-110
Open Access | Times Cited: 2
Standards for Belief Representations in LLMs
Daniel A. Herrmann, Benjamin A. Levinstein
Minds and Machines (2024) Vol. 35, Iss. 1
Closed Access | Times Cited: 2
Can We Trust Fair-AI?
Salvatore Ruggieri, José M. Álvarez, Andrea Pugnana, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 13, pp. 15421-15430
Open Access | Times Cited: 4
Understanding via exemplification in XAI: how explaining image classification benefits from exemplars
Sara Mann
AI & Society (2024)
Open Access | Times Cited: 1
Future Shock: Generative AI and the International AI Policy and Governance Crisis
David Leslie, Antonella Perini
Harvard data science review (2024), Iss. Special Issue 5
Open Access | Times Cited: 1
No Agent in the Machine: Being Trustworthy and Responsible about AI
Niël Henk Conradie, Saskia K. Nagel
Philosophy & Technology (2024) Vol. 37, Iss. 2
Open Access | Times Cited: 1
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion
Mary M. Lucas, Xiaoyang Wang, Chia‐Hsuan Chang, et al.
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2024), pp. 157-166
Open Access | Times Cited: 1
A Critical Survey on Fairness Benefits of XAI
Luca Deck, Jakob Schoeffer, Maria De‐Arteaga, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Integrated Customer Analytics using Explainability and AutoML for Telecommunications
Sai Tejashwin Eswarapu, S Seshathri, Yashwanth Deshaboina, et al.
(2023), pp. 228-235
Closed Access | Times Cited: 2
Procedural Justice and Fairness in Automated Resume Parsers for Tech Hiring: Insights from Candidate Perspectives
Swanand Vaishampayan, Sahar Farzanehpour, Chris Brown
(2023), pp. 103-108
Closed Access | Times Cited: 2
A Genealogical Approach to Algorithmic Bias
Marta Ziosi, David Watson, Luciano Floridi
SSRN Electronic Journal (2024)
Open Access
A Genealogical Approach to Algorithmic Bias
Marta Ziosi, David Watson, Luciano Floridi
Minds and Machines (2024) Vol. 34, Iss. 2
Open Access
Explainable Artificial Intelligence for Academic Performance Prediction. An Experimental Study on the Impact of Accuracy and Simplicity of Decision Trees on Causability and Fairness Perceptions
Marco Lünich, Birte Keller
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 1031-1042
Open Access
Exploring Fairness Interpretability with FairnessFriend: A Chatbot Solution
Chiara Criscuolo, Tommaso Dolci
(2024) Vol. 67, pp. 246-253
Closed Access
Explainable AI for Fair Sepsis Mortality Predictive Model
Chia‐Hsuan Chang, Xiaoyang Wang, Christopher C. Yang
Lecture notes in computer science (2024), pp. 267-276
Closed Access
On the Suitability of B-cos Networks for the Medical Domain
Isabel Rio-Torto, Tiago Gonçalves, Jaime S. Cardoso, et al.
(2024), pp. 1-5
Closed Access
Transparent Transparency Developing a Scheme for Understanding Transparency Requirements
Deborah Baum, Kevin Baum, Sasha Zamani, et al.
Lecture notes in computer science (2024), pp. 55-73
Closed Access
Fairness Explanations in Recommender Systems
Luan Souza
(2024), pp. 1353-1354
Open Access
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’22)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, et al.
(2022), pp. 667-670
Closed Access | Times Cited: 2
How Do Algorithmic Fairness Metrics Align with Human Judgement? A Mixed-Initiative System for Contextualized Fairness Assessment
Rares Constantin, Moritz Duck, Anton Alexandrov, et al.
(2022), pp. 1-7
Closed Access | Times Cited: 1
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