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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.

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Showing 18 citing articles:

Dealing with Uncertainty: Understanding the Impact of Prognostic Versus Diagnostic Tasks on Trust and Reliance in Human-AI Decision Making
Sara Salimzadeh, Gaole He, Ujwal Gadiraju
(2024), pp. 1-17
Open Access | Times Cited: 11
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant
Gaole He, N Aishwarya, Ujwal Gadiraju
(2025), pp. 907-924
Open Access | Times Cited: 1
Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages
Shreyan Biswas, Alexander Erlei, Ujwal Gadiraju
(2025), pp. 1-20
Closed Access | Times Cited: 1
Understanding Choice Independence and Error Types in Human-AI Collaboration
Alexander Erlei, Abhinav Sharma, Ujwal Gadiraju
(2024), pp. 1-19
Open Access | Times Cited: 5
Twenty-four years of empirical research on trust in AI: a bibliometric review of trends, overlooked issues, and future directions
Michaela Benk, Sophie Kerstan, Florian von Wangenheim, et al.
AI & Society (2024)
Open Access | Times Cited: 4
Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant
Gaole He, Gianluca Demartini, Ujwal Gadiraju
(2025), pp. 1-22
Open 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
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning
Anna P. Meyer, Yea‐Seul Kim, Loris D’Antoni, et al.
(2025), pp. 1-15
Closed Access
Incorporating Bloom’s taxonomy into promoting cognitive thinking mechanism in artificial intelligence-supported learning environments
Emily Sein Yue Elim Hui
Interactive Learning Environments (2024), pp. 1-14
Closed Access | Times Cited: 3
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
Sunnie Kim, Jennifer Wortman Vaughan, Q. Vera Liao, et al.
(2025), pp. 1-19
Open Access
The Influence of Curiosity Traits and On-Demand Explanations in AI-Assisted Decision-Making
Federico Maria Cau, Lucio Davide Spano
(2025), pp. 1440-1457
Closed Access
What Did My Car Say? Impact of Autonomous Vehicle Explanation Errors and Driving Context On Comfort, Reliance, Satisfaction, and Driving Confidence
Robert Kaufman, Aaron Broukhim, David Kirsh, et al.
(2025), pp. 1-17
Closed Access
Explainable AI Frameworks: Navigating the Present Challenges and Unveiling Innovative Applications
Neeraj Anand Sharma, Rishal Ravikesh Chand, Zain Buksh, et al.
Algorithms (2024) Vol. 17, Iss. 6, pp. 227-227
Open Access | Times Cited: 3
Trust Development and Repair in AI-Assisted Decision-Making during Complementary Expertise
Saumya Pareek, Eduardo Velloso, Jorge Gonçalves
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 546-561
Open Access | Times Cited: 3
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff in Human-Centered Explainable AI
Lindsay Sanneman, Mycal Tucker, Julie Shah
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 118, pp. 2175-2198
Open Access | Times Cited: 2
When in Doubt! Understanding the Role of Task Characteristics on Peer Decision-Making with AI Assistance
Sara Salimzadeh, Ujwal Gadiraju
(2024), pp. 89-101
Open Access | Times Cited: 2
Initial results on personalizing explanations of AI hints in an ITS
Vedant Bahel, Harshinee Sriram, Cristina Conati
(2024), pp. 244-248
Open Access | Times Cited: 1
“DecisionTime”: A Configurable Framework for Reproducible Human-AI Decision-Making Studies
Sara Salimzadeh, Ujwal Gadiraju
(2024), pp. 66-69
Closed Access | Times Cited: 1
VIME: Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Learning Models for Sequential Decision-Making
Anindya Das Antar, Somayeh Molaei, Yan-Ying Chen, et al.
(2024), pp. 1-21
Closed Access | Times Cited: 1
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