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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:

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

Showing 1-25 of 28 citing articles:

A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage
Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi, et al.
(2023)
Open Access | Times Cited: 162
Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi, et al.
(2023)
Open Access | Times Cited: 59
Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi, et al.
(2023)
Open Access | Times Cited: 36
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice
Wesley Hanwen Deng, Nur Yildirim, Monica Chang, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 705-716
Open Access | Times Cited: 26
Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi, et al.
(2023)
Open Access | Times Cited: 18
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: 5
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
WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI
Wesley Hanwen Deng, Claire Wang, Hyoungmin Han, et al.
(2025)
Open Access
Understanding Practices around Computational News Discovery Tools in the Domain of Science Journalism
Sachita Nishal, Jasmine Sinchai, Nicholas Diakopoulos
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW1, pp. 1-36
Open Access | Times Cited: 3
GenAICHI 2024: Generative AI and HCI at CHI 2024
Michael Müller, Anna Kantosalo, Mary Lou Maher, et al.
(2024), pp. 1-7
Open Access | Times Cited: 3
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
Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi, et al.
(2023)
Open Access | Times Cited: 9
Towards a Non-Ideal Methodological Framework for Responsible ML
Ramaravind Kommiya Mothilal, Shion Guha, Syed Ishtiaque Ahmed
(2024), pp. 1-17
Open Access | Times Cited: 2
Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic Harm
Alicia DeVrio, Motahhare Eslami, Kenneth Holstein
2022 ACM Conference on Fairness, Accountability, and Transparency (2024)
Open Access | Times Cited: 2
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
Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia
Tzu-Sheng Kuo, Aaron Halfaker, Zirui Cheng, et al.
(2024), pp. 1-24
Open Access | Times Cited: 1
From Fitting Participation to Forging Relationships: The Art of Participatory ML
Ned Cooper, Alexandra Zafiroglu
(2024), pp. 1-9
Open Access | Times Cited: 1
Understanding Contestability on the Margins: Implications for the Design of Algorithmic Decision-making in Public Services
Naveena Karusala, Sohini Upadhyay, Rajesh Veeraraghavan, et al.
(2024), pp. 1-16
Open Access | Times Cited: 1
Transparency in the Wild: Navigating Transparency in a Deployed AI System to Broaden Need-Finding Approaches
Violet Turri, Katelyn Morrison, Katherine-Marie Robinson, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 1494-1514
Open Access | Times Cited: 1
The Value-Sensitive Conversational Agent Co-Design Framework
Malak Sadek, Rafael A. Calvo, Céline Mougenot
International Journal of Human-Computer Interaction (2024), pp. 1-32
Open Access | Times Cited: 1
"Come to us first": Centering Community Organizations in Artificial Intelligence for Social Good Partnerships
Hongjin Lin, Naveena Karusala, Chinasa T. Okolo, et al.
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW2, pp. 1-28
Open Access
Challenges in Value-Sensitive AI Design: Insights from AI Practitioner Interviews
Malak Sadek, Céline Mougenot
International Journal of Human-Computer Interaction (2024), pp. 1-18
Open Access
(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court
Angela Jin, Niloufar Salehi
(2024), pp. 1-19
Open Access
"I'm Constantly in This Dilemma": How Migrant Technology Professionals Perceive Social Media Recommendation Algorithms
Cassidy Pyle, Zefeng Zhang, Oliver L. Haimson, et al.
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW1, pp. 1-33
Open Access
Under manipulations, are some AI models harder to audit?
Augustin Godinot, Erwan Le Merrer, Gilles Trédan, et al.
(2024), pp. 644-664
Open Access
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