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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:

WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?
Ali Akbar Septiandri, Marios Constantinides, Mohammad Tahaei, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 160-171
Open Access | Times Cited: 24

Showing 24 citing articles:

A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations
Glen Berman, Nitesh Goyal, Michael Madaio
(2024), pp. 1-24
Open Access | Times Cited: 12
Data Feminism for AI
Lauren Klein, Catherine D’Ignazio
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 1989, pp. 100-112
Open Access | Times Cited: 12
Not a Swiss Army Knife: Academics' Perceptions of Trade-Offs Around Generative Artificial Intelligence Use
Afsaneh Razi, Layla Bouzoubaa, Aria Pessianzadeh, et al.
Research Square (Research Square) (2025)
Open Access | Times Cited: 1
Metaverse Perspectives from Japan: A Participatory Speculative Design Case Study
Michel Hohendanner, Chiara Ullstein, Dohjin Miyamoto, et al.
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW2, pp. 1-51
Open Access | Times Cited: 4
WEIRD? Institutions and consumers’ perceptions of artificial intelligence in 31 countries
Bronwyn Howell
AI & Society (2025)
Open Access
Doing the Feminist Work in AI: Reflections from an AI Project in Latin America
Marianela Ciolfi Felice, Ivana Feldfeber, Carolina Glasserman Apicella, et al.
(2025), pp. 1-18
Closed Access
Reimagining Wearable-Based Digital Contact Tracing: Insights from Kenya and Côte d'Ivoire
Kavous Salehzadeh Niksirat, Collins W. Munyendo, Onício Leal Neto, et al.
(2025), pp. 1-23
Closed Access
The Role of Human-Centered AI in User Modeling, Adaptation, and Personalization—Models, Frameworks, and Paradigms
Helma Torkamaan, Mohammad Tahaei, Stefan Buijsman, et al.
Human-computer interaction series (2024), pp. 43-84
Closed Access | Times Cited: 3
Attitudes Toward Facial Analysis AI: A Cross-National Study Comparing Argentina, Kenya, Japan, and the USA
Chiara Ullstein, Severin Engelmann, Orestis Papakyriakopoulos, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 2273-2301
Open Access | Times Cited: 3
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions
Jan Simson, Florian Pfisterer, Christoph Kern
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 1305-1320
Open Access | Times Cited: 3
"Like rearranging deck chairs on the Titanic"? Feasibility, Fairness, and Ethical Concerns of a Citizen Carbon Budget for Reducing CO2 Emissions
Gisela Reyes-Cruz, Peter J. Craigon, Anna-Maria Piskopani, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 12, pp. 267-278
Open Access | Times Cited: 1
FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing
Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, et al.
(2023)
Open Access | Times Cited: 3
Research on the impact of artificial intelligence on the labor market
XinNing Zhang
Advances in Economics and Management Research (2023) Vol. 8, Iss. 1, pp. 252-252
Open Access | Times Cited: 2
The State of Algorithmic Fairness in Mobile Human-Computer Interaction
Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, et al.
(2023), pp. 1-7
Open Access | Times Cited: 1
Everything, Everywhere All in One Evaluation: Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness
Jan Simson, Florian Pfisterer, Christoph Kern
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Large Language Models as SocioTechnical Systems
Kaustubh Dhole
(2023), pp. 66-79
Open Access | Times Cited: 1
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
Tianqi Kou
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 199, pp. 1002-1013
Open Access
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
Tianqi Kou
SSRN Electronic Journal (2024)
Open Access
Low-Resourced Languages and Online Knowledge Repositories: A Need-Finding Study.
Hellina Hailu Nigatu, John Canny, Sarah Chasins
(2024), pp. 1-21
Open Access
Beyond Control: Will to Power in AI
Inês Hipólito, Paul Podosky
(2024)
Open Access
Lazy Data Practices Harm Fairness Research
Jan Simson, Alessandro Fabris, Christoph Kern
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 642-659
Open Access
Debugging for Inclusivity in Online CS Courseware: Does it Work?
Amreeta Chatterjee, Rudrajit Choudhuri, Mrinmoy Sarkar, et al.
(2024), pp. 419-433
Closed Access
FairComp: 2nd International Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing
Lakmal Meegahapola, Dimitris Spathis, Marios Constantinides, et al.
(2024), pp. 996-999
Closed Access
Making AI Work: Tracing Human Labour in the Supply Chains of Dataset Production
Srravya Chandhiramowuli
(2024), pp. 47-49
Open Access
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