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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:

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
Gagan Bansal, Tongshuang Wu, Joyce Zhou, et al.
(2021), pp. 1-16
Open Access | Times Cited: 363

Showing 26-50 of 363 citing articles:

Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
Harini Suresh, Steven R. Gomez, Kevin Nam, et al.
(2021), pp. 1-16
Open Access | Times Cited: 84
To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making
Zana Buçinca, Maja Barbara Malaya, Krzysztof Z. Gajos
(2021)
Open Access | Times Cited: 64
Bayesian modeling of human–AI complementarity
Mark Steyvers, Heliodoro Tejeda, Gavin Kerrigan, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 11
Open Access | Times Cited: 63
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making
Charvi Rastogi, Yunfeng Zhang, Dennis Wei, et al.
Proceedings of the ACM on Human-Computer Interaction (2022) Vol. 6, Iss. CSCW1, pp. 1-22
Open Access | Times Cited: 59
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: 55
Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning
Krzysztof Z. Gajos, Lena Mamykina
(2022), pp. 794-806
Open Access | Times Cited: 53
Designing for Responsible Trust in AI Systems: A Communication Perspective
Q. Vera Liao, S. Shyam Sundar
2022 ACM Conference on Fairness, Accountability, and Transparency (2022)
Open Access | Times Cited: 50
Evidence, ethics and the promise of artificial intelligence in psychiatry
Melissa D. McCradden, Katrina Hui, Daniel Z. Buchman
Journal of Medical Ethics (2022) Vol. 49, Iss. 8, pp. 573-579
Open Access | Times Cited: 46
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
Max Schemmer, Patrick Hemmer, Maximilian Nitsche, et al.
(2022), pp. 617-626
Open Access | Times Cited: 44
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations
Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1194-1206
Open Access | Times Cited: 42
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging
Riccardo Fogliato, Shreya Chappidi, Matthew P. Lungren, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1362-1374
Open Access | Times Cited: 42
You Complete Me: Human-AI Teams and Complementary Expertise
Qiaoning Zhang, Matthew L. Lee, Scott L. Carter
CHI Conference on Human Factors in Computing Systems (2022), pp. 1-28
Closed Access | Times Cited: 41
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI
Q. Vera Liao, Yunfeng Zhang, Ronny Luss, et al.
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (2022) Vol. 10, Iss. 1, pp. 147-159
Open Access | Times Cited: 38
The state of human-centered NLP technology for fact-checking
Anubrata Das, Houjiang Liu, Venelin Kovatchev, et al.
Information Processing & Management (2022) Vol. 60, Iss. 2, pp. 103219-103219
Open Access | Times Cited: 38
State of the Art of Visual Analytics for eXplainable Deep Learning
Biagio La Rosa, Graziano Blasilli, Romain Bourqui, et al.
Computer Graphics Forum (2023) Vol. 42, Iss. 1, pp. 319-355
Open Access | Times Cited: 37
Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems
Gaole He, Lucie Kuiper, Ujwal Gadiraju
(2023), pp. 1-18
Open Access | Times Cited: 33
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
Three Challenges for AI-Assisted Decision-Making
Mark Steyvers, Aakriti Kumar
Perspectives on Psychological Science (2023) Vol. 19, Iss. 5, pp. 722-734
Open Access | Times Cited: 31
Bureaucrat or artificial intelligence: people’s preferences and perceptions of government service
Dongfang Gaozhao, James E. Wright, Mylah K. Gainey
Public Management Review (2023) Vol. 26, Iss. 6, pp. 1498-1525
Closed Access | Times Cited: 28
Auditing the inference processes of medical-image classifiers by leveraging generative AI and the expertise of physicians
Alex J. DeGrave, Zhuo Ran Cai, Joseph D. Janizek, et al.
Nature Biomedical Engineering (2023)
Open Access | Times Cited: 27
Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making
Snehal Prabhudesai, Leyao Yang, Sumit Asthana, et al.
(2023), pp. 379-396
Closed Access | Times Cited: 25
Fairness Perceptions of Artificial Intelligence: A Review and Path Forward
Devesh Narayanan, Mahak Nagpal, Jack McGuire, et al.
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 1, pp. 4-23
Closed Access | Times Cited: 25
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation
Patrick Fernandes, Aman Madaan, Emmy Liu, et al.
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 1643-1668
Open Access | Times Cited: 25
Don’t Just Tell Me, Ask Me: AI Systems that Intelligently Frame Explanations as Questions Improve Human Logical Discernment Accuracy over Causal AI explanations
Valdemar Danry, Pat Pataranutaporn, Yaoli Mao, et al.
(2023), pp. 1-13
Open Access | Times Cited: 24
Are Two Heads Better Than One in AI-Assisted Decision Making? Comparing the Behavior and Performance of Groups and Individuals in Human-AI Collaborative Recidivism Risk Assessment
C. Chiang, Zhuoran Lu, Zhuoyan Li, et al.
(2023), pp. 1-18
Open Access | Times Cited: 23

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