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:

Trading off accuracy and explainability in AI decision-making: findings from 2 citizens’ juries
Sabine N van der Veer, Lisa Riste, Sudeh Cheraghi‐Sohi, et al.
Journal of the American Medical Informatics Association (2021) Vol. 28, Iss. 10, pp. 2128-2138
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Power to the People? Opportunities and Challenges for Participatory AI
Abeba Birhane, William M. Isaac, Vinodkumar Prabhakaran, et al.
(2022), pp. 1-8
Open Access | Times Cited: 120

Hybrid physics-based and data-driven models for smart manufacturing: Modelling, simulation, and explainability
Jinjiang Wang, Yilin Li, Robert X. Gao, et al.
Journal of Manufacturing Systems (2022) Vol. 63, pp. 381-391
Closed Access | Times Cited: 99

Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare
Tim Hulsen
AI (2023) Vol. 4, Iss. 3, pp. 652-666
Open Access | Times Cited: 92

Interpretability of Clinical Decision Support Systems Based on Artificial Intelligence from Technological and Medical Perspective: A Systematic Review
Qian Xu, Wenzhao Xie, Bolin Liao, et al.
Journal of Healthcare Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 40

What Are Humans Doing in the Loop? Co-Reasoning and Practical Judgment When Using Machine Learning-Driven Decision Aids
Sabine Salloch, Andreas Eriksen
The American Journal of Bioethics (2024) Vol. 24, Iss. 9, pp. 67-78
Open Access | Times Cited: 19

Rad4XCNN: A new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
Francesco Prinzi, Carmelo Militello, Calogero Zarcaro, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 260, pp. 108576-108576
Open Access | Times Cited: 1

Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis
Vinh Vo, Gang Chen, Yves Saint James Aquino, et al.
Social Science & Medicine (2023) Vol. 338, pp. 116357-116357
Open Access | Times Cited: 28

More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts
Ekaterina Novozhilova, Kate K. Mays, Sejin Paik, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 342-366
Open Access | Times Cited: 9

Should AI models be explainable to clinicians?
Gwénolé Abgrall, Andre L. Holder, Zaineb Chelly Dagdia, et al.
Critical Care (2024) Vol. 28, Iss. 1
Open Access | Times Cited: 9

Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review
Amirehsan Ghasemi, Soheil Hashtarkhani, David L. Schwartz, et al.
Cancer Innovation (2024) Vol. 3, Iss. 5
Open Access | Times Cited: 8

“Just” accuracy? Procedural fairness demands explainability in AI-based medical resource allocations
Jon Rueda, Janet Delgado, Iris Parra Jounou, et al.
AI & Society (2022) Vol. 39, Iss. 3, pp. 1411-1422
Open Access | Times Cited: 36

Interpretable Radiomic Signature for Breast Microcalcification Detection and Classification
Francesco Prinzi, Alessia Angela Maria Orlando, Salvatore Gaglio, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1038-1053
Open Access | Times Cited: 7

STELA: a community-centred approach to norm elicitation for AI alignment
Stevie Bergman, Nahema Marchal, John Mellor, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7

How should artificial intelligence be used in Australian health care? Recommendations from a citizens’ jury
Stacy M. Carter, Yves Saint James Aquino, Lucy Carolan, et al.
The Medical Journal of Australia (2024) Vol. 220, Iss. 8, pp. 409-416
Open Access | Times Cited: 6

The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in Healthcare
Ankush Patel, Qiangqiang Gu, Ronda Esper, et al.
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 1363-1383
Open Access | Times Cited: 6

Artificial intelligence in emergency medicine
Jonathan Matthews
British Journal of Healthcare Management (2025) Vol. 31, Iss. 1, pp. 1-8
Closed Access

Inclusive Technology Co-design for Participatory AI
Petra Ahrweiler, Elisabeth Späth, Javier S. Garcia, et al.
(2025), pp. 35-62
Open Access

Multi-Value Alignment for Ml/Ai Development Choices
Hetvi Jethwani, Anna Lewis
American Philosophical Quarterly (2025) Vol. 62, Iss. 2, pp. 133-152
Closed Access

The fundamentals of AI ethics in medical imaging
Julia Amann, Valerie Burger, Michelle Livne, et al.
Elsevier eBooks (2025), pp. 7-33
Closed Access

Computer Vision in Clinical Neurology
Maximilian Friedrich, Samuel D. Relton, David Wong, et al.
JAMA Neurology (2025)
Closed Access

On the practical, ethical, and legal necessity of clinical Artificial Intelligence explainability: an examination of key arguments
Justin Blackman, Richard Veerapen
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access

The Virtues of Interpretable Medical Artificial Intelligence
Joshua Hatherley, Robert Sparrow, Mark Howard
Cambridge Quarterly of Healthcare Ethics (2022), pp. 1-10
Open Access | Times Cited: 19

Facilitating public involvement in research about healthcare AI: A scoping review of empirical methods
Emma Kellie Frost, Rebecca Bosward, Yves Saint James Aquino, et al.
International Journal of Medical Informatics (2024) Vol. 186, pp. 105417-105417
Open Access | Times Cited: 3

Artificial Intelligence in a Structurally Unjust Society
Ting-an Lin, Po-Hsuan Cameron Chen
Feminist Philosophy Quarterly (2022) Vol. 8, Iss. 3/4
Open Access | Times Cited: 16

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