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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:

Beware explanations from AI in health care
Boris Babic, Sara Gerke, Theodoros Evgeniou, et al.
Science (2021) Vol. 373, Iss. 6552, pp. 284-286
Closed Access | Times Cited: 149

Showing 1-25 of 149 citing articles:

Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in Cardiology
Jeremy Petch, Shuang Di, Walter Nelson
Canadian Journal of Cardiology (2021) Vol. 38, Iss. 2, pp. 204-213
Open Access | Times Cited: 360
Transparency of deep neural networks for medical image analysis: A review of interpretability methods
Zohaib Salahuddin, Henry C. Woodruff, Avishek Chatterjee, et al.
Computers in Biology and Medicine (2021) Vol. 140, pp. 105111-105111
Open Access | Times Cited: 280
Bias in artificial intelligence algorithms and recommendations for mitigation
Lama Nazer, Razan Zatarah, Shai Waldrip, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 6, pp. e0000278-e0000278
Open Access | Times Cited: 220
Ethical and regulatory challenges of AI technologies in healthcare: A narrative review
Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26297-e26297
Open Access | Times Cited: 139
From promise to practice: towards the realisation of AI-informed mental health care
Nikolaos Koutsouleris, Tobias U. Hauser, Vasilisa Skvortsova, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 11, pp. e829-e840
Open Access | Times Cited: 125
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
Julia Amann, Dennis Vetter, Stig Nikolaj Fasmer Blomberg, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 2, pp. e0000016-e0000016
Open Access | Times Cited: 116
A manifesto on explainability for artificial intelligence in medicine
Carlo Combi, Beatrice Amico, Riccardo Bellazzi, et al.
Artificial Intelligence in Medicine (2022) Vol. 133, pp. 102423-102423
Open Access | Times Cited: 95
Generative AI in Health Care and Liability Risks for Physicians and Safety Concerns for Patients
Mindy Duffourc, Sara Gerke
JAMA (2023) Vol. 330, Iss. 4, pp. 313-313
Open Access | Times Cited: 63
The benefits and pitfalls of machine learning for biomarker discovery
Sandra Ng, Sara Masarone, David Watson, et al.
Cell and Tissue Research (2023) Vol. 394, Iss. 1, pp. 17-31
Open Access | Times Cited: 45
Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke
Julia Amann, Effy Vayena, Kelly E. Ormond, et al.
PLoS ONE (2023) Vol. 18, Iss. 1, pp. e0279088-e0279088
Open Access | Times Cited: 44
Human-AI Ensembles: When Can They Work?
Vivek Choudhary, Arianna Marchetti, Yash Raj Shrestha, et al.
Journal of Management (2023)
Open Access | Times Cited: 44
Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care
Meghan E. Hurley, Benjamin Lang, Kristin M. Kostick, et al.
The American Journal of Bioethics (2024), pp. 1-13
Closed Access | Times Cited: 21
The health risks of generative AI-based wellness apps
Julian De Freitas, I. Glenn Cohen
Nature Medicine (2024) Vol. 30, Iss. 5, pp. 1269-1275
Closed Access | Times Cited: 16
AI in the hands of imperfect users
Kristin M. Kostick, Sara Gerke
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 54
Evidence, ethics and the promise of artificial intelligence in psychiatry
Melissa D. McCradden, Katrina Hui, Daniel Z. Buchman
Journal of Medical Ethics (2022) Vol. 49, Iss. 8, pp. 573-579
Open Access | Times Cited: 46
Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence
Swapna Mudrakola, V. Uma Maheswari, Rajanikanth Aluvalu, et al.
Journal of Sensor and Actuator Networks (2022) Vol. 11, Iss. 1, pp. 17-17
Open Access | Times Cited: 45
Conceptualising fairness: three pillars for medical algorithms and health equity
Laura Sikstrom, Marta M. Maslej, Katrina Hui, et al.
BMJ Health & Care Informatics (2022) Vol. 29, Iss. 1, pp. e100459-e100459
Open Access | Times Cited: 43
Designing Fair AI in Human Resource Management: Understanding Tensions Surrounding Algorithmic Evaluation and Envisioning Stakeholder-Centered Solutions
Hyanghee Park, Daehwan Ahn, Kartik Hosanagar, et al.
CHI Conference on Human Factors in Computing Systems (2022), pp. 1-22
Closed Access | Times Cited: 41
Advancing AI in healthcare: A comprehensive review of best practices
Sergei Polevikov
Clinica Chimica Acta (2023) Vol. 548, pp. 117519-117519
Closed Access | Times Cited: 37
The proposed EU Directives for AI liability leave worrying gaps likely to impact medical AI
Mindy Duffourc, Sara Gerke
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 27
Artificial intelligence in medical device software and high-risk medical devices – a review of definitions, expert recommendations and regulatory initiatives
Alan G. Fraser, Elisabetta Biasin, Bart Bijnens, et al.
Expert Review of Medical Devices (2023) Vol. 20, Iss. 6, pp. 467-491
Closed Access | Times Cited: 25
Artificial intelligence applications in histopathology
Cagla Deniz Bahadir, Mohamed Omar, Jacob Rosenthal, et al.
Nature Reviews Electrical Engineering (2024) Vol. 1, Iss. 2, pp. 93-108
Closed Access | Times Cited: 11
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation
Stephanie L. McNamara, Paul H. Yi, William Lotter
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 10
Applications and challenges of implementing artificial intelligence in orthodontics: A primer for orthodontists
Min Kyeong Lee, Veerasathpurush Allareddy, Sankeerth Rampa, et al.
Seminars in Orthodontics (2024) Vol. 30, Iss. 1, pp. 72-76
Open Access | Times Cited: 7
Explanation, semantics, and ontology
Giancarlo Guizzardi, Nicola Guarino
Data & Knowledge Engineering (2024) Vol. 153, pp. 102325-102325
Open Access | Times Cited: 7
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