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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 User Reliance on AI in Assisted Decision-Making
Shiye Cao, Chien‐Ming Huang
Proceedings of the ACM on Human-Computer Interaction (2022) Vol. 6, Iss. CSCW2, pp. 1-23
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, et al.
Proceedings of the ACM on Human-Computer Interaction (2023) Vol. 7, Iss. CSCW2, pp. 1-32
Open Access | Times Cited: 61
How Novices Use LLM-based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment
Majeed Kazemitabaar, Xinying Hou, Austin Z. Henley, et al.
(2023), pp. 1-12
Open Access | Times Cited: 50
Strategies for Integrating Generative AI into Higher Education: Navigating Challenges and Leveraging Opportunities
Gila Kurtz, Meital Amzalag, Nava Shaked, et al.
Education Sciences (2024) Vol. 14, Iss. 5, pp. 503-503
Open Access | Times Cited: 32
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 9, pp. 822-835
Open Access | Times Cited: 26
Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making
Shiye Cao, Anqi Liu, Chien‐Ming Huang
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW1, pp. 1-32
Open Access | Times Cited: 6
Robot-Assisted Decision-Making: Unveiling the Role of Uncertainty Visualisation and Embodiment
Sarah Schömbs, Saumya Pareek, Jorge Gonçalves, et al.
(2024), pp. 1-16
Open Access | Times Cited: 5
Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review
Catalina Gómez, Sue Min Cho, Shichang Ke, et al.
Frontiers in Computer Science (2025) Vol. 6
Open Access
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
Sunnie S. Y. Kim, Jennifer Wortman Vaughan, Q. Vera Liao, et al.
(2025), pp. 1-19
Open Access
Safety of human-AI cooperative decision-making within intensive care: A physical simulation study
Paul Festor, Myura Nagendran, Anthony Gordon, et al.
PLOS Digital Health (2025) Vol. 4, Iss. 2, pp. e0000726-e0000726
Open Access
Design and Empirical Analysis of Artificial Intelligence-Based Decision Aid Models for College Management
Wang Ying
Applied Mathematics and Nonlinear Sciences (2025) Vol. 10, Iss. 1
Open Access
Building Appropriate Mental Models: What Users Know and Want to Know about an Agentic AI Chatbot
Michelle Brachman, Siya Kunde, Sarah Miller, et al.
(2025), pp. 247-264
Closed Access
Listening to the Wild: Risk and Preparedness in Hiker-Wildlife Conflicts during Outdoor Recreation
Yusheng Cao, Taha Hassan, Jixiang Fan, et al.
(2025), pp. 1-8
Closed Access
Designing Embodied Agents for Impactful Human-Centred Risk Communication
Sarah Schömbs
(2025), pp. 1-5
Closed Access
Letters from Future Self: Augmenting the Letter-Exchange Exercise with LLM-based Agents to Enhance Young Adults' Career Exploration
Hee-Kyung Jeon, Suhwoo Yoon, K. Lee, et al.
(2025), pp. 1-21
Closed Access
From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis
Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.
(2025), pp. 1-18
Closed Access
To Rely or Not to Rely? Evaluating Interventions for Appropriate Reliance on Large Language Models
Jessica Y. Bo, Shunzhou Wan, Ashton Anderson
(2025), pp. 1-23
Open Access
Faster Information for Effective Long-Term Discharge: A Field Study in Adult Foster Care
Vince Bartle, Arran Shearer, A Wroe, et al.
Proceedings of the ACM on Human-Computer Interaction (2025) Vol. 9, Iss. 2, pp. 1-29
Closed Access
Human-Centered Team Training for Human-AI Teams: From Training with AI Tools to Training for AI Teammates
Caitlin Lancaster, Wen Duan, Rohit Mallick, et al.
Proceedings of the ACM on Human-Computer Interaction (2025) Vol. 9, Iss. 2, pp. 1-38
Closed Access
How Time Pressure in Different Phases of Decision-Making Influences Human-AI Collaboration
Shiye Cao, Catalina Gómez, Chien‐Ming Huang
Proceedings of the ACM on Human-Computer Interaction (2023) Vol. 7, Iss. CSCW2, pp. 1-26
Open Access | Times Cited: 10
Adjusting Amount of AI Explanation for Visual Tasks
Akihiro Maehigashi, Yosuke Fukuchi, Seiji Yamada
(2024), pp. 1-7
Open Access | Times Cited: 3
Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations
Myura Nagendran, Paul Festor, Matthieu Komorowski, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 3
Effect of Explanation Conceptualisations on Trust in AI-assisted Credibility Assessment
Saumya Pareek, Niels van Berkel, Eduardo Velloso, et al.
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW2, pp. 1-31
Open Access | Times Cited: 3
Public Health Calls for/with AI: An Ethnographic Perspective
Azra Ismail, Divy Thakkar, Neha Madhiwalla, et al.
Proceedings of the ACM on Human-Computer Interaction (2023) Vol. 7, Iss. CSCW2, pp. 1-26
Open Access | Times Cited: 7
Explainable AI decision support improves accuracy during telehealth strep throat screening
Catalina Gómez, B. L. Smith, Alisa Zayas, et al.
Communications Medicine (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2
You Can Only Verify When You Know the Answer: Feature-Based Explanations Reduce Overreliance on AI for Easy Decisions, but Not for Hard Ones
Zelun Tony Zhang, Felicitas Buchner, Yuanting Liu, et al.
Proceedings of Mensch und Computer 2019 (2024), pp. 156-170
Closed Access | Times Cited: 2
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