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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:

Physician understanding, explainability, and trust in a hypothetical machine learning risk calculator
William K. Diprose, Nicholas Buist, Ning Hua, et al.
Journal of the American Medical Informatics Association (2019) Vol. 27, Iss. 4, pp. 592-600
Open Access | Times Cited: 144

Showing 26-50 of 144 citing articles:

Using Computer Vision to Improve Endoscopic Disease Quantification in Therapeutic Clinical Trials of Ulcerative Colitis
Ryan W. Stidham, Lingrui Cai, Shuyang Cheng, et al.
Gastroenterology (2023) Vol. 166, Iss. 1, pp. 155-167.e2
Open Access | Times Cited: 23
A critical moment in machine learning in medicine: on reproducible and interpretable learning
Olga Ciobanu-Caraus, Anatol A Aicher, Julius M. Kernbach, et al.
Acta Neurochirurgica (2024) Vol. 166, Iss. 1
Open Access | Times Cited: 13
Large language models and generative AI in telehealth: a responsible use lens
Javad Khazaei Pool, Marta Indulska, Shazia Sadiq
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 9, pp. 2125-2136
Open Access | Times Cited: 9
Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review
Ruth Evans, Louise Bryant, Gregor Russell, et al.
International Journal of Medical Informatics (2024) Vol. 183, pp. 105342-105342
Open Access | Times Cited: 8
Artificial intelligence-enhanced patient evaluation: bridging art and science
Evangelos K. Oikonomou, Rohan Khera
European Heart Journal (2024) Vol. 45, Iss. 35, pp. 3204-3218
Closed Access | Times Cited: 8
Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults
Matthew Chun, Robert Clarke, Benjamin J. Cairns, et al.
Journal of the American Medical Informatics Association (2021) Vol. 28, Iss. 8, pp. 1719-1727
Open Access | Times Cited: 50
Examining the effect of explanation on satisfaction and trust in AI diagnostic systems
Lamia Alam, Shane T. Mueller
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 47
Explainable machine learning practices: opening another black box for reliable medical AI
Emanuele Ratti, Mark Graves
AI and Ethics (2022) Vol. 2, Iss. 4, pp. 801-814
Open Access | Times Cited: 36
Factors Influencing Clinician Trust in Predictive Clinical Decision Support Systems for In-Hospital Deterioration: Qualitative Descriptive Study
Jessica Schwartz, Maureen George, Sarah Collins Rossetti, et al.
JMIR Human Factors (2022) Vol. 9, Iss. 2, pp. e33960-e33960
Open Access | Times Cited: 36
Artificial intelligence, nano-technology and genomic medicine: The future of anaesthesia
Shagufta Naaz, Adil Asghar
Journal of Anaesthesiology Clinical Pharmacology (2022) Vol. 38, Iss. 1, pp. 11-17
Open Access | Times Cited: 35
Explainable Artificial Intelligence (XAI) in Insurance
Emer Owens, Barry Sheehan, Martin Mullins, et al.
Risks (2022) Vol. 10, Iss. 12, pp. 230-230
Open Access | Times Cited: 32
Innovation in healthcare: leadership perceptions about the innovation characteristics of artificial intelligence—a qualitative interview study with healthcare leaders in Sweden
Margit Neher, Lena Petersson, Jens M. Nygren, et al.
Implementation Science Communications (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 16
Trust in Machine Learning Driven Clinical Decision Support Tools Among Otolaryngologists
Hannah Y. Chen, Xiaoyue Ma, Hal Rives, et al.
The Laryngoscope (2024) Vol. 134, Iss. 6, pp. 2799-2804
Closed Access | Times Cited: 6
Understanding Physician’s Perspectives on AI in Health Care: Protocol for a Sequential Multiple Assignment Randomized Vignette Study
Jane Kim, Hyun‐Joon Yang, Bohye Kim, et al.
JMIR Research Protocols (2024) Vol. 13, pp. e54787-e54787
Open Access | Times Cited: 5
Artificial intelligence applied to magnetic resonance imaging reliably detects the presence, but not the location, of meniscus tears: a systematic review and meta-analysis
Yi Zhao, Andrew Coppola, Urvi Karamchandani, et al.
European Radiology (2024) Vol. 34, Iss. 9, pp. 5954-5964
Open Access | Times Cited: 5
Receiving Information on Machine Learning‐Based Clinical Decision Support Systems in Psychiatric Services Increases Staff Trust in These Systems: A Randomized Survey Experiment
Erik Perfalk, Martin Bernstorff, Andreas Aalkjær Danielsen, et al.
Acta Psychiatrica Scandinavica (2025)
Open Access
User Experience and Trust Improvement Evaluation on Healthcare oriented Explainable Artificial Intelligence Interventions: Systematic Review (Preprint)
Samantha Cramer, Elina Gastreich-de-Llanes, Jonas Bäcker, et al.
(2025)
Closed Access
“I don’t think people are ready to trust these algorithms at face value”: trust and the use of machine learning algorithms in the diagnosis of rare disease
Nina Hallowell, Shirlene Badger, Aurelia Sauerbrei, et al.
BMC Medical Ethics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 27
Misplaced Trust and Distrust: How Not to Engage with Medical Artificial Intelligence
Georg Starke, Marcello Ienca
Cambridge Quarterly of Healthcare Ethics (2022) Vol. 33, Iss. 3, pp. 360-369
Open Access | Times Cited: 26
Personalized Surgical Transfusion Risk Prediction Using Machine Learning to Guide Preoperative Type and Screen Orders
Sunny S. Lou, Hanyang Liu, Chenyang Lu, et al.
Anesthesiology (2022) Vol. 137, Iss. 1, pp. 55-66
Open Access | Times Cited: 22
Optimizing Equity: Working towards Fair Machine Learning Algorithms in Laboratory Medicine
Vahid Azimi, Mark A. Zaydman
The Journal of Applied Laboratory Medicine (2023) Vol. 8, Iss. 1, pp. 113-128
Closed Access | Times Cited: 13
Tumor Size Is Not Everything: Advancing Radiomics as a Precision Medicine Biomarker in Oncology Drug Development and Clinical Care. A Report of a Multidisciplinary Workshop Coordinated by the RECIST Working Group
Erica C. Nakajima, Amber L. Simpson, Jan Bogaerts, et al.
JCO Precision Oncology (2024), Iss. 8
Closed Access | Times Cited: 4
Reporting Quality of AI Intervention in Randomized Controlled Trials in Primary Care: Systematic Review and Meta-Epidemiological Study
Jingru Zhong, Ting Zhu, Yafang Huang
Journal of Medical Internet Research (2025) Vol. 27, pp. e56774-e56774
Open Access
Analyzing clinical variables indicative of uveal melanoma to determine how they affect decisions made by an artificial intelligence classifier
Emily Laycock, Ezekiel Weis, Antoine Sylvestre-Bouchard, et al.
Canadian Journal of Ophthalmology (2025)
Open Access
The Application of artificial intelligence in periprosthetic joint infection
Pengcheng Li, Weisheng Yan, Runkai Zhao, et al.
Journal of Advanced Research (2025)
Open Access

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