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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:

The Impact of Imperfect XAI on Human-AI Decision-Making
Katelyn Morrison, Philipp Spitzer, Violet Turri, et al.
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW1, pp. 1-39
Open Access | Times Cited: 8

Showing 8 citing articles:

Personalized explanations for clinician-AI interaction in breast imaging diagnosis by adapting communication to expertise levels
Francisco Maria Calisto, João Abrantes, Carlos Santiago, et al.
International Journal of Human-Computer Studies (2025), pp. 103444-103444
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
Robust Relatable Explanations of Machine Learning with Disentangled Cue-specific Saliency
Harshavardhan Sunil Abichandani, W. Y. Zhang, Brian Y. Lim
(2025), pp. 1203-1231
Closed Access
Leveraging explainable AI for informed building retrofit decisions: Insights from a survey
Daniel Leuthe, Jonas Mirlach, Simon Wenninger, et al.
Energy and Buildings (2024) Vol. 318, pp. 114426-114426
Open Access | Times Cited: 4
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making
Federico Cabitza, Caterina Fregosi, Andrea Campagner, et al.
Communications in computer and information science (2024), pp. 255-269
Closed Access | Times Cited: 1
Human-AI collaboration: Unraveling the effects of user proficiency and AI agent capability in intelligent decision support systems
Lu Elfa Peng, Dailin Li, Zhaotong Zhang, et al.
International Journal of Industrial Ergonomics (2024) Vol. 103, pp. 103629-103629
Closed Access | Times Cited: 1
(X)AI as a Teacher: Learning with Explainable Artificial Intelligence
Philipp Spitzer, Marc Goutier, Niklas Kühl, et al.
Proceedings of Mensch und Computer 2019 (2024), pp. 571-576
Closed Access
Towards Understanding Human-AI Reliance Patterns Through Explanation Styles
Emma R. Casolin, Flora D. Salim
(2024), pp. 861-865
Closed Access
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
Looking Through the Deep Glasses: How Large Language Models Enhance Explainability of Deep Learning Models
Philipp Spitzer, Sebastian Celis, Dominik Martin, et al.
Proceedings of Mensch und Computer 2019 (2024), pp. 566-570
Closed Access
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