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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:

How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions
Hao-Fei Cheng, Logan Stapleton, Anna Kawakami, et al.
CHI Conference on Human Factors in Computing Systems (2022), pp. 1-22
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

What is Human-Centered about Human-Centered AI? A Map of the Research Landscape
Tara Capel, Margot Brereton
(2023), pp. 1-23
Open Access | Times Cited: 79
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
Logan Stapleton, Min Hun Lee, Diana Qing, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1162-1177
Open Access | Times Cited: 49
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: 9
Understanding Human-Centred AI: a review of its defining elements and a research agenda
Stefan Schmager, Ilias O. Pappas, Polyxeni Vassilakopoulou
Behaviour and Information Technology (2025), pp. 1-40
Open Access | Times Cited: 1
Competent but Rigid: Identifying the Gap in Empowering AI to Participate Equally in Group Decision-Making
Chengbo Zheng, Yuheng Wu, Chuhan Shi, et al.
(2023), pp. 1-19
Open Access | Times Cited: 22
Rethinking "Risk" in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare
Devansh Saxena, Erina Seh-Young Moon, Aryan Chaurasia, et al.
(2023), pp. 1-19
Open Access | Times Cited: 22
Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables
Kenneth Holstein, Maria De‐Arteaga, Lakshmi Tumati, et al.
Proceedings of the ACM on Human-Computer Interaction (2023) Vol. 7, Iss. CSCW1, pp. 1-20
Open Access | Times Cited: 18
Are We Asking the Right Questions?: Designing for Community Stakeholders’ Interactions with AI in Policing
Md Romael Haque, Devansh Saxena, Katy Weathington, et al.
(2024), pp. 1-20
Open Access | Times Cited: 7
“Why Do I Care What’s Similar?” Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts
Anna Kawakami, Venkatesh Sivaraman, Logan Stapleton, et al.
Designing Interactive Systems Conference (2022), pp. 454-470
Open Access | Times Cited: 26
The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool
Marissa Gerchick, Tobi Jegede, T.P. Shah, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1292-1310
Open Access | Times Cited: 16
Ghosting the Machine: Judicial Resistance to a Recidivism Risk Assessment Instrument
Dasha Pruss
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 312-323
Open Access | Times Cited: 15
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: 5
Contextual social valences for artificial intelligence: anticipation that matters in social work
Tuukka Lehtiniemi
Information Communication & Society (2023) Vol. 27, Iss. 6, pp. 1110-1125
Open Access | Times Cited: 13
Capturing Humans’ Mental Models of AI: An Item Response Theory Approach
Markelle Kelly, Aakriti Kumar, Padhraic Smyth, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1723-1734
Open Access | Times Cited: 12
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
Luke Guerdan, Amanda Coston, Zhiwei Steven Wu, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 688-704
Open Access | Times Cited: 12
Fair Machine Guidance to Enhance Fair Decision Making in Biased People
Mingzhe Yang, Hiromi Arai, Naomi Yamashita, et al.
(2024), pp. 1-18
Open Access | Times Cited: 4
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment
Nari Johnson, Sanika Moharana, Christina Harrington, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 87, pp. 337-358
Open Access | Times Cited: 4
The Datafication of Care in Public Homelessness Services
Erina Seh-Young Moon, Devansh Saxena, Dipto Das, et al.
(2025), pp. 1-16
Open Access
Overcoming Algorithm Aversion: A Comparison between Process and Outcome Control
Lingwei Cheng, Alexandra Chouldechova
(2023), pp. 1-27
Open Access | Times Cited: 10
Talking About the Assumption in the Room
Ramaravind Kommiya Mothilal, Faisal Lalani, Syed Ishtiaque Ahmed, et al.
(2025), pp. 1-16
Open Access
Application of the Data Quality Framework to Administrative Data on Child Maltreatment
Yutian Thompson, Yaqi Li, Zhigui Kang, et al.
(2025)
Closed Access
Black–White differences in Child Protective Services involvement: Evidence on the role of differential ‘risk’
Lawrence M. Berger, Brenda Jones Harden
Journal of Policy Analysis and Management (2025)
Open Access
The Effects of AI on Street-Level Bureaucracy: A Scoping Review
Cara Gillingham, Jessica Morley, Luciano Floridi
Deleted Journal (2025) Vol. 4, Iss. 1
Closed Access
The Bureaucratic Challenges of Unified Data: Examining Predictive Policing Technology Design Issues Posed by Federal and State U.S. Criminal Legal System Data Sets
Amelia Roskin‐Frazee, Christine Denise Head
(2025), pp. 1-11
Closed Access
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development
Devansh Saxena, Ji-Youn Jung, Jodi Forlizzi, et al.
(2025), pp. 1-23
Closed Access
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