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:

Are “Intersectionally Fair” AI Algorithms Really Fair to Women of Color? A Philosophical Analysis
Youjin Kong
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 485-494
Closed Access | Times Cited: 33

Showing 26-50 of 33 citing articles:

Epistemic Power in AI Ethics Labor: Legitimizing Located Complaints
David Gray Widder
2022 ACM Conference on Fairness, Accountability, and Transparency (2024)
Open Access

More than the Sum of its Parts: Susceptibility to Algorithmic Disadvantage as a Conceptual Framework
Paola Lopez
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 81, pp. 909-919
Open Access

From Bias to Balance: Navigating Gender Inclusion in AI
Gloriana J. Monko, Mohamedi M. Mjahidi
IntechOpen eBooks (2024)
Open Access

Intersectional Bias Mitigation in Pre-trained Language Models: A Quantum-Inspired Approach
Omid Shokrollahi
(2023), pp. 5181-5184
Closed Access | Times Cited: 1

Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing
Lucas Monteiro Paes, Ananda Theertha Suresh, Alex Beutel, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1

Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection
Vyoma Raman, Eve Fleisig, Dan Klein
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 9316-9329
Open Access | Times Cited: 1

LUCID–GAN: Conditional Generative Models to Locate Unfairness
Andres Algaba, Carmen Mazijn, Carina Prunkl, et al.
SSRN Electronic Journal (2022)
Open Access | Times Cited: 1

LUCID–GAN: Conditional Generative Models to Locate Unfairness
Andres Algaba, Carmen Mazijn, Carina Prunkl, et al.
Communications in computer and information science (2023), pp. 346-367
Closed Access

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