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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:

Towards Unbiased and Accurate Deferral to Multiple Experts
Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi
(2021), pp. 154-165
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation
Vivian Lai, Samuel Carton, Rajat Bhatnagar, et al.
CHI Conference on Human Factors in Computing Systems (2022)
Open Access | Times Cited: 69
Algorithmic fairness datasets: the story so far
Alessandro Fabris, S. Messina, Gianmaria Silvello, et al.
Data Mining and Knowledge Discovery (2022) Vol. 36, Iss. 6, pp. 2074-2152
Open Access | Times Cited: 54
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction
Patrick Hemmer, Monika Westphal, Max Schemmer, et al.
(2023), pp. 453-463
Open Access | Times Cited: 31
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
SenseMate: An Accessible and Beginner-Friendly Human-AI Platform for Qualitative Data Analysis
Cassandra Overney, Belén Saldías, Dimitra Dimitrakopoulou, et al.
(2024), pp. 922-939
Open Access | Times Cited: 9
Diversity in sociotechnical machine learning systems
Sina Fazelpour, Maria De‐Arteaga
Big Data & Society (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 28
Role of Human-AI Interaction in Selective Prediction
Elizabeth Bondi, Raphael Köster, Hannah Sheahan, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 5, pp. 5286-5294
Open Access | Times Cited: 21
Analytical Review of Task Allocation Methods for Human and AI Model Collaboration
Andrew Ponomarev, Anton Agafonov
Informatics and Automation (2025) Vol. 24, Iss. 1, pp. 229-274
Open Access
A2C: A modular multi-stage collaborative decision framework for human-AI teams
Shahroz Tariq, Mohan Baruwal Chhetri, ‪Surya Nepal‬, et al.
Expert Systems with Applications (2025), pp. 127318-127318
Closed Access
To Use or Not to Use: Impatience and Overreliance When Using Generative AI Productivity Support Tools
Han Qiao, Jo Vermeulen, George Fitzmaurice, et al.
(2025), pp. 1-18
Closed Access
Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness
Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1639-1656
Open Access | Times Cited: 17
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
Towards Human-AI Teaming to Mitigate Alert Fatigue in Security Operations Centres
Mohan Baruwal Chhetri, Shahroz Tariq, Ronal Singh, et al.
ACM Transactions on Internet Technology (2024) Vol. 24, Iss. 3, pp. 1-22
Open Access | Times Cited: 3
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)
Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6523-6533
Open Access | Times Cited: 3
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts
Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 2478-2484
Open Access | Times Cited: 13
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
Emily Black, Rakshit Naidu, Rayid Ghani, et al.
(2023), pp. 1-11
Open Access | Times Cited: 7
Principled Approaches for Learning to Defer with Multiple Experts
Anqi Mao, Mehryar Mohri, Yutao Zhong
Lecture notes in computer science (2024), pp. 107-135
Closed Access | Times Cited: 2
How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets
Danula Hettiachchi, Indigo Holcombe-James, Stephanie Livingstone, et al.
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (2023) Vol. 11, Iss. 1, pp. 38-50
Open Access | Times Cited: 5
Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter and What They Represent
Jennifer Mickel
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 112, pp. 2484-2494
Open Access | Times Cited: 1
Lowering Costs and Increasing Benefits Through the Ensemble of LLMs and Machine Learning Models
Zhilin Liu, Qun Yang, Jianjian Zou
Lecture notes in computer science (2024), pp. 368-379
Closed Access | Times Cited: 1
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity
Charvi Rastogi, Liu Leqi, Kenneth Holstein, et al.
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (2023) Vol. 11, Iss. 1, pp. 127-139
Open Access | Times Cited: 3
Learning to Defer with Limited Expert Predictions
Patrick Hemmer, Lukas Thede, Michael Vössing, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 5, pp. 6002-6011
Open Access | Times Cited: 2
When More Data Lead Us Astray: Active Data Acquisition in the Presence of Label Bias
Yunyi Li, Maria De‐Arteaga, Maytal Saar‐Tsechansky
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (2022) Vol. 10, Iss. 1, pp. 133-146
Open Access | Times Cited: 3
Learning to Complement and to Defer to Multiple Users
Zheng Zhang, Wenjie Ai, Kevin Wells, et al.
Lecture notes in computer science (2024), pp. 144-162
Closed Access
Trade risk identification and prediction using experts’ knowledge and machine learning
Ieva Dundulienė, Robertas Alzbutas, Kamile Baltrusone
(2021) Vol. 10, pp. 1-5
Closed Access | Times Cited: 1
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