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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:

Fairness in Machine Learning: A Survey
Simon Caton, Christian Haas
ACM Computing Surveys (2023) Vol. 56, Iss. 7, pp. 1-38
Open Access | Times Cited: 178

Showing 1-25 of 178 citing articles:

Algorithmic Bias in Education
Ryan S. Baker, Aaron Hawn
International Journal of Artificial Intelligence in Education (2021) Vol. 32, Iss. 4, pp. 1052-1092
Closed Access | Times Cited: 248
Trustworthy AI: A Computational Perspective
Haochen Liu, Yiqi Wang, Wenqi Fan, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 14, Iss. 1, pp. 1-59
Open Access | Times Cited: 121
Blockchain-Based Digital Twins: Research Trends, Issues, and Future Challenges
Sabah Suhail, Rasheed Hussain, Raja Jurdak, et al.
ACM Computing Surveys (2022) Vol. 54, Iss. 11s, pp. 1-34
Open Access | Times Cited: 90
An Empirical Study on Correlations Between Deep Neural Network Fairness and Neuron Coverage Criteria
Wei Zheng, Lidan Lin, Xiaoxue Wu, et al.
IEEE Transactions on Software Engineering (2024) Vol. 50, Iss. 3, pp. 391-412
Closed Access | Times Cited: 15
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: 13
Safe machine learning
Paolo Giudici
Statistics (2024), pp. 1-5
Closed Access | Times Cited: 13
Improving Fairness in Deepfake Detection
Yan Ju, Shu Hu, Shan Jia, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 4643-4653
Open Access | Times Cited: 12
Artificial intelligence in early drug discovery enabling precision medicine
Fabio Boniolo, Emilio Dorigatti, Alexander J. Ohnmacht, et al.
Expert Opinion on Drug Discovery (2021) Vol. 16, Iss. 9, pp. 991-1007
Open Access | Times Cited: 77
A translational perspective towards clinical AI fairness
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 25
Fairness issues, current approaches, and challenges in machine learning models
Tonni Das Jui, Pablo Rivas
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 8, pp. 3095-3125
Open Access | Times Cited: 11
Machine learning in energy storage material discovery and performance prediction
Guo-Chang Huang, Fuqiang Huang, Wujie Dong
Chemical Engineering Journal (2024) Vol. 492, pp. 152294-152294
Closed Access | Times Cited: 11
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
Hilde Weerts, Florian Pfisterer, Matthias Feurer, et al.
Journal of Artificial Intelligence Research (2024) Vol. 79, pp. 639-677
Open Access | Times Cited: 7
Correlation-based methods for representative fairness metric selection: An empirical study on efficiency and caveats in model evaluation
Rafael B. Loureiro, Tiago Palma Pagano, Fernanda V. N. Lisboa, et al.
Expert Systems with Applications (2025), pp. 126344-126344
Open Access
Benchmarking with a Language Model Initial Selection for Text Classification Tasks
Agus Riyadi, Mate Kovacs, Uwe Serdült, et al.
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 1, pp. 3-3
Open Access
SFFL: Self-aware fairness federated learning framework for heterogeneous data distributions
Jiale Zhang, Ye Li, Di Wu, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126418-126418
Closed Access
EduStudio: towards a unified library for student cognitive modeling
Le Wu, Xiangzhi Chen, Fei Liu, et al.
Frontiers of Computer Science (2025) Vol. 19, Iss. 8
Open Access
Fair streaming feature selection
Zhangling Duan, Tianci Li, Zhaolong Ling, et al.
Neurocomputing (2025), pp. 129394-129394
Closed Access
Machine Learning in Procurement with a View to Equity
Ishrat Fatima, Roberto Nai, Rosa Meo
IntechOpen eBooks (2025)
Closed Access
EHR-based prediction modelling meets multimodal deep learning: A systematic review of structured and textual data fusion methods
Ariel Soares Teles, Ivan Rodrigues de Moura, Francisco Silva, et al.
Information Fusion (2025), pp. 102981-102981
Closed Access
Accounting for racial bias and social determinants of health in a model of hypertension control
Hu Yang, Nicholas Cordella, Rebecca G. Mishuris, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Enhancing Business Process Models with Ethical Considerations
Beatrice Amico, Carlo Combi, Anna Dalla Vecchia, et al.
Lecture notes in business information processing (2025), pp. 3-17
Closed Access
An Overview of Fairness in Clustering
Anshuman Chhabra, Karina Masalkovaitė, Prasant Mohapatra
IEEE Access (2021) Vol. 9, pp. 130698-130720
Open Access | Times Cited: 51
Fairness in Deep Learning: A Survey on Vision and Language Research
Otávio Parraga, Martin D. Móre, Christian Mattjie, et al.
ACM Computing Surveys (2023)
Open Access | Times Cited: 15
Strong Optimal Classification Trees
Sina Aghaei, Andrés Gómez, Phebe Vayanos
Operations Research (2024)
Open Access | Times Cited: 5
Digital Humans to Combat Loneliness and Social Isolation: Ethics Concerns and Policy Recommendations
Nancy S. Jecker, Robert Sparrow, Zohar Lederman, et al.
The Hastings Center Report (2024) Vol. 54, Iss. 1, pp. 7-12
Open Access | Times Cited: 5
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