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:

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

Showing 1-25 of 26 citing articles:

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

Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice
Wesley Hanwen Deng, Boyuan Guo, Alicia DeVrio, et al.
(2023), pp. 1-18
Open Access | Times Cited: 28

Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation
Angie Zhang, Olympia Walker, Kaci Nguyen, et al.
Proceedings of the ACM on Human-Computer Interaction (2023) Vol. 7, Iss. CSCW1, pp. 1-32
Open Access | Times Cited: 28

AI’s Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia
Rida Qadri, Renee Shelby, Cynthia L. Bennett, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 506-517
Open Access | Times Cited: 28

AI Regulation Is (not) All You Need
Laura Lucaj, Patrick van der Smagt, Djalel Benbouzid
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1267-1279
Closed Access | Times Cited: 18

An Emerging Design Space of How Tools Support Collaborations in AI Design and Development
Meena Devii Muralikumar, David W. McDonald
Proceedings of the ACM on Human-Computer Interaction (2025) Vol. 9, Iss. 1, pp. 1-28
Closed Access

Human-Centered Evaluation and Auditing of Language Models
Ziang Xiao, Wesley Hanwen Deng, Michelle S. Lam, et al.
(2024), pp. 1-6
Open Access | Times Cited: 3

Supporting User Engagement in Testing, Auditing, and Contesting AI
Wesley Hanwen Deng, Michelle S. Lam, Ángel Alexander Cabrera, et al.
(2023), pp. 556-559
Closed Access | Times Cited: 6

Effectiveness and Information Quality Perception of an AI Model Card: A Study Among Non-Experts
Vanessa Bracamonte, Sebastian Pape, Sascha Löbner, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 4

Using Model Cards for ethical reflection on machine learning models: an interview-based study
José Luiz Nunes, Gabriel Diniz Junqueira Barbosa, Clarisse Sieckenius de Souza, et al.
Journal on Interactive Systems (2024) Vol. 15, Iss. 1, pp. 1-19
Open Access | Times Cited: 1

Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms
Zheyuan Ryan Shi, Jiayin Zhi, Siqi Zeng, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4686-4696
Closed Access | Times Cited: 1

JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists
Galen Harrison, Kevin Bryson, Ahmad Emmanuel Balla Bamba, et al.
(2024), pp. 1-19
Open Access | Times Cited: 1

AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services
Ningjing Tang, Jiayin Zhi, Tzu-Sheng Kuo, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 16, pp. 713-732
Open Access | Times Cited: 1

Terms-we-serve-with: Five dimensions for anticipating and repairing algorithmic harm
Bogdana Rakova, Renee Shelby, Megan Ma
Big Data & Society (2023) Vol. 10, Iss. 2
Closed Access | Times Cited: 3

"It's the most fair thing to do but it doesn't make any sense": Perceptions of Mathematical Fairness Notions by Hiring Professionals
Priya Sarkar, Cynthia C. S. Liem
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW1, pp. 1-35
Open Access

Assessing and implementing trustworthy AI across multiple dimensions
Abigail Goldsteen, Ariel Farkash, Michael Hind
Elsevier eBooks (2024), pp. 229-257
Closed Access

Bitacora: A Toolkit for Supporting NonProfits to Critically Reflect on Social Media Data Use
Adriana Alvarado Garcia, Marisol Wong-Villacrés, Benjamín Hernández, et al.
(2024), pp. 1-29
Open Access

Model ChangeLists: Characterizing Updates to ML Models
Sabri Eyuboglu, Karan Goel, Arjun Desai, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 33, pp. 2432-2453
Open Access

Integrating Equity in Public Sector Data-Driven Decision Making: Exploring the Desired Futures of Underserved Stakeholders
Seyun Kim, J. Adrian Kim-Fat Ho, Yinan Li, et al.
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW2, pp. 1-39
Open Access

Designing for AI-Powered Social Computing Systems
Gionnieve Lim, Hyunwoo Kim, Yoonseo Choi, et al.
(2023), pp. 572-575
Closed Access | Times Cited: 1

Can designers take the driver’s seat? A new human-centered process to design with data and machine learning
Sara Colombo, Camilla Costa
The Design Journal (2023) Vol. 27, Iss. 1, pp. 7-29
Open Access | Times Cited: 1

Mapping the Smart City: Participatory approaches to XAI
Shubhangi Gupta
Designing Interactive Systems Conference (2023) Vol. 40, pp. 1-6
Closed Access

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