OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Data Science as Political Action: Grounding Data Science in a Politics of Justice
Ben Green
Journal of Social Computing (2021) Vol. 2, Iss. 3, pp. 249-265
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Roles for computing in social change
Rediet Abebe, Solon Barocas, Jon Kleinberg, et al.
(2020), pp. 252-260
Open Access | Times Cited: 250

The future of AI and education: Some cautionary notes
Neil Selwyn
European Journal of Education (2022) Vol. 57, Iss. 4, pp. 620-631
Open Access | Times Cited: 92

On Fairness and Calibration
Manish Raghavan
ACM eBooks (2023)
Open Access | Times Cited: 50

Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics
Richmond Y. Wong, Michael Madaio, Nick Merrill
Proceedings of the ACM on Human-Computer Interaction (2023) Vol. 7, Iss. CSCW1, pp. 1-27
Open Access | Times Cited: 47

An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists
P. M. Krafft, Meg Young, Michael Katell, et al.
(2021), pp. 772-781
Open Access | Times Cited: 57

Selection Problems in the Presence of Implicit Bias
Manish Raghavan
ACM eBooks (2023)
Open Access | Times Cited: 22

A Mulching Proposal
Os Keyes, Jevan Hutson, Meredith Durbin
(2019), pp. 1-11
Closed Access | Times Cited: 56

Envisioning Communities: A Participatory Approach Towards AI for Social Good
Elizabeth Bondi, Lily Xu, Diana Acosta-Navas, et al.
(2021), pp. 425-436
Open Access | Times Cited: 55

Conservative AI and social inequality: conceptualizing alternatives to bias through social theory
Mike Zajko
AI & Society (2021) Vol. 36, Iss. 3, pp. 1047-1056
Open Access | Times Cited: 43

Confronting Power and Corporate Capture at the FAccT Conference
Meg Young, Michael Katell, P. M. Krafft
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1375-1386
Open Access | Times Cited: 31

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
Ben Hutchinson, Andrew Smart, Alex Hanna, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 41

From Ethics Washing to Ethics Bashing: A Moral Philosophy View on Tech Ethics
Elettra Bietti
Journal of Social Computing (2021) Vol. 2, Iss. 3, pp. 266-283
Open Access | Times Cited: 38

The Model Card Authoring Toolkit: Toward Community-centered, Deliberation-driven AI Design
Hong Shen, Leijie Wang, Wesley Hanwen Deng, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 440-451
Open Access | Times Cited: 26

The Ethics of AI for Information Professionals: Eight Scenarios
Andrew Cox
Journal of the Australian Library and Information Association (2022) Vol. 71, Iss. 3, pp. 201-214
Open Access | Times Cited: 25

Leverage zones in Responsible AI: towards a systems thinking conceptualization
Ehsan Nabavi, Chris Browne
Humanities and Social Sciences Communications (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 14

Co-creating conditions for social justice in digital societies: modes of resistance in HCI collaborative endeavors and evolving socio-technical landscapes
Clara Crivellaro, Lizzie Coles-Kemp, Alan Dix, et al.
ACM Transactions on Computer-Human Interaction (2025)
Closed Access

Regulating Government AI and the Challenge of Sociotechnical Design
David Freeman Engstrom, Amit Haim
Annual Review of Law and Social Science (2023) Vol. 19, Iss. 1, pp. 277-298
Open Access | Times Cited: 10

The Misuse of AUC: What High Impact Risk Assessment Gets Wrong
Kweku Kwegyir-Aggrey, Marissa Gerchick, Malika Mohan, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1570-1583
Open Access | Times Cited: 10

Page 1 - Next Page

Scroll to top