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:

Contextualizing User Perceptions about Biases for Human-Centered Explainable Artificial Intelligence
Chien Wen Yuan, Nanyi Bi, Ya-Fang Lin, et al.
(2023), pp. 1-15
Closed Access | Times Cited: 16

Showing 16 citing articles:

Human-Centered Artificial Intelligence: Designing for User Empowerment and Ethical Considerations
Usman Ahmad Usmani, Ari Happonen, Junzo Watada
(2023), pp. 1-7
Closed Access | Times Cited: 35

Is this AI sexist? The effects of a biased AI’s anthropomorphic appearance and explainability on users’ bias perceptions and trust
Tsung-Yu Hou, Yu-Chia Tseng, Chien Wen Yuan
International Journal of Information Management (2024) Vol. 76, pp. 102775-102775
Closed Access | Times Cited: 9

Charting Competence: A Holistic Scale for Measuring Proficiency in Artificial Intelligence Literacy
Chien Wen Yuan, Hsin-yi Sandy Tsai, Yu-Ting Chen
Journal of Educational Computing Research (2024) Vol. 62, Iss. 7, pp. 1675-1704
Closed Access | Times Cited: 4

Technology-Assisted Literature Reviews with Technology of Artificial Intelligence: Ethical and Credibility Challenges
Mikko Luomala, Jyri Naarmala, Ville Tuomi
Procedia Computer Science (2025) Vol. 256, pp. 378-387
Open Access

Towards a Non-Ideal Methodological Framework for Responsible ML
Ramaravind Kommiya Mothilal, Shion Guha, Syed Ishtiaque Ahmed
(2024), pp. 1-17
Open Access | Times Cited: 2

Impact of Model Interpretability and Outcome Feedback on Trust in AI
Daehwan Ahn, Abdullah Almaatouq, Monisha Gulabani, et al.
(2024), pp. 1-25
Open Access | Times Cited: 2

Human Centered Explainable AI Framework for Military Cyber Operations
Clara Maathuis
MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) (2023), pp. 260-267
Closed Access | Times Cited: 5

Towards Explainability as a Functional Requirement: A Vision to Integrate the Legal, End-User, and ML Engineer Perspectives
Umm-e- Habiba, Justus Bogner, Stefan Wagner
(2024), pp. 16-19
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

exHAR
Mohammad Kianpisheh, Alex Mariakakis, Khai N. Truong
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024) Vol. 8, Iss. 1, pp. 1-30
Closed Access

When to Explain? Exploring the Effects of Explanation Timing on User Perceptions and Trust in AI systems
Cheng Chen, Mengqi Liao, S. Shyam Sundar
(2024), pp. 1-17
Closed Access

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