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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:

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

Showing 18 citing articles:

Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate
C. Chiang, Zhuoran Lu, Zhuoyan Li, et al.
(2024), pp. 103-119
Open Access | Times Cited: 23
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Jakob Schoeffer, Maria De‐Arteaga, Niklas Kühl
(2024), pp. 1-18
Open Access | Times Cited: 20
A Literature Review of Human–AI Synergy in Decision Making: From the Perspective of Affordance Actualization Theory
Ying Bao, Wankun Gong, Kaiwen Yang
Systems (2023) Vol. 11, Iss. 9, pp. 442-442
Open Access | Times Cited: 23
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
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
AI, Help Me Think—but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support
Leon Reicherts, Zelun Tony Zhang, Elisabeth von Oswald, et al.
(2025), pp. 1-19
Closed Access
Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information
Philipp Spitzer, Joshua Holstein, Patrick Hemmer, et al.
Proceedings of the ACM on Human-Computer Interaction (2025) Vol. 9, Iss. 2, pp. 1-28
Closed Access
Digital Pedagogy for Sustainable Education Transformation: Enhancing Learner-Centred Learning in the Digital Era
Ronghuai Huang, Michael Agyemang Adarkwah, Mengyu Liu, et al.
Frontiers of digital education. (2024)
Closed Access | Times Cited: 3
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge
Anna Kawakami, Luke Guerdan, Yanghuidi Cheng, et al.
(2023), pp. 63-78
Open Access | Times Cited: 8
Real Estate Automated Valuation Model with Explainable Artificial Intelligence Based on Shapley Values
Dieudonné Tchuente
The Journal of Real Estate Finance and Economics (2024)
Closed Access | Times Cited: 2
Prototype-based learning for real estate valuation: a machine learning model that explains prices
José A. Rodríguez-Serrano
Annals of Operations Research (2024)
Open Access | Times Cited: 1
Knowledge Trap: Human Experts Distracted by Details When Teaming with AI
Weiguang Wang, Xiaopei Liu, Xi Zhang, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 3
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
Proceedings of The ACM Collective Intelligence Conference

(2023)
Open Access | Times Cited: 2
Prototype-based Models for Real Estate Valuation: A Machine Learning Model That Explains Prices
José A. Rodríguez-Serrano
SSRN Electronic Journal (2024)
Closed Access
Supporting Information Integration in Human-AI Augmentation via Reflection on Unobservables
Maria De‐Arteaga, Kenneth Holstein
(2024)
Closed Access
The Algorithm and the Org Chart: How Algorithms Can Conflict with Organizational Structures
Melissa Valentine, Amanda L. Pratt, Rebecca Hinds, et al.
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW2, pp. 1-31
Open Access
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Jakob Schoeffer, Maria De‐Arteaga, Niklas Kuehl
arXiv (Cornell University) (2022)
Open Access | Times Cited: 2
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