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:

A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence
Andreia Martinho, Maarten Kroesen, Caspar Chorus
Artificial Intelligence in Medicine (2021) Vol. 121, pp. 102190-102190
Open Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

Clinical Applications of Artificial Intelligence—An Updated Overview
Ștefan Busnatu, Adelina-Gabriela Niculescu, Alexandra Bolocan, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 8, pp. 2265-2265
Open Access | Times Cited: 98

Ethical Conundrums in the Application of Artificial Intelligence (AI) in Healthcare—A Scoping Review of Reviews
Sreenidhi Prakash, Jyotsna Needamangalam Balaji, Ashish Joshi, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 11, pp. 1914-1914
Open Access | Times Cited: 82

Health Professionals' Perspectives on the Use of Artificial Intelligence in Healthcare: A Systematic Review
Rakesh Kumar Sahoo, Krushna Chandra Sahoo, Sapna Negi, et al.
Patient Education and Counseling (2025), pp. 108680-108680
Closed Access | Times Cited: 1

Artificial intelligence in medicine: A comprehensive survey of medical doctor’s perspectives in Portugal
Ana Rita Pedro, Michelle B. Dias, Liliana Laranjo, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0290613-e0290613
Open Access | Times Cited: 25

Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapy
Zhe Zhang, Xiawei Wei
Seminars in Cancer Biology (2023) Vol. 90, pp. 57-72
Closed Access | Times Cited: 24

Fair and equitable AI in biomedical research and healthcare: Social science perspectives
Renate Baumgartner, Payal Arora, Corinna Bath, et al.
Artificial Intelligence in Medicine (2023) Vol. 144, pp. 102658-102658
Open Access | Times Cited: 24

Are current clinical studies on artificial intelligence-based medical devices comprehensive enough to support a full health technology assessment? A systematic review
Line Farah, Julie Davaze-Schneider, Tess Martin, et al.
Artificial Intelligence in Medicine (2023) Vol. 140, pp. 102547-102547
Open Access | Times Cited: 22

Clearing the Fog: A Scoping Literature Review on the Ethical Issues Surrounding Artificial Intelligence-Based Medical Devices
Alessia Maccaro, Katy Stokes, Laura Statham, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 5, pp. 443-443
Open Access | Times Cited: 11

Transparency of Artificial Intelligence in Healthcare: Insights from Professionals in Computing and Healthcare Worldwide
José Bernal, Claudia Mazo
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10228-10228
Open Access | Times Cited: 30

Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
Babak Saboury, Tyler Bradshaw, Ronald Boellaard, et al.
Journal of Nuclear Medicine (2022) Vol. 64, Iss. 2, pp. 188-196
Open Access | Times Cited: 30

Professional Perspectives Towards Implementing Artificial Intelligence in Next Generation Sequencing–Based Newborn Screening: A Q Methodology Study
Sara Soriano Longarón, Lennart Johansson, Imke Christiaans, et al.
Health Policy and Technology (2025), pp. 100982-100982
Open Access

Do Treatment Choices by Artificial Intelligence Correspond to Reality? Retrospective Comparative Research with Necrotizing Enterocolitis as a Use Case
Rosa Verhoeven, Stella Mulia, Elisabeth M. W. Kooi, et al.
Medical Decision Making (2025)
Closed Access

Modeling Conceptual Framework for Implementing Barriers of AI in Public Healthcare for Improving Operational Excellence: Experiences from Developing Countries
S. K. Joshi, Manu Sharma, Rashmi Prava Das, et al.
Sustainability (2022) Vol. 14, Iss. 18, pp. 11698-11698
Open Access | Times Cited: 23

The AI ethics of digital COVID-19 diagnosis and their legal, medical, technological, and operational managerial implications
Christina C. Bartenschlager, Ulrich M. Gassner, Christoph Römmele, et al.
Artificial Intelligence in Medicine (2024) Vol. 152, pp. 102873-102873
Open Access | Times Cited: 4

Artificial Intelligence (AI) and Ethics in Medicine at a Global Level: Benefits and Risks
Sadi Elasan, Yusuf Ateş
Özgür Yayınları eBooks (2023)
Open Access | Times Cited: 10

Evolutionary impacts of artificial intelligence in healthcare managerial literature. A ten-year bibliometric and topic modeling review
Fabrizio D’Ascenzo, Andrea Rocchi, Francesca Iandolo, et al.
Sustainable Futures (2024) Vol. 7, pp. 100198-100198
Open Access | Times Cited: 3

Navigating the uncommon: challenges in applying evidence-based medicine to rare diseases and the prospects of artificial intelligence solutions
Olivia Rennie
Medicine Health Care and Philosophy (2024) Vol. 27, Iss. 3, pp. 269-284
Closed Access | Times Cited: 3

A survey of pregnant patients’ perspectives on the implementation of artificial intelligence in clinical care
William Armero, Kathryn J. Gray, Kara G. Fields, et al.
Journal of the American Medical Informatics Association (2022) Vol. 30, Iss. 1, pp. 46-53
Open Access | Times Cited: 17

Attitudes of Anesthesiologists toward Artificial Intelligence in Anesthesia: A Multicenter, Mixed Qualitative–Quantitative Study
David Henckert, Amos Malorgio, Giovanna Schweiger, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 6, pp. 2096-2096
Open Access | Times Cited: 8

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