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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:

The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database
Stan Benjamens, Pranavsingh Dhunnoo, Bertalan Meskó
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 823

Showing 1-25 of 823 citing articles:

AI in health and medicine
Pranav Rajpurkar, Emma Chen, Oishi Banerjee, et al.
Nature Medicine (2022) Vol. 28, Iss. 1, pp. 31-38
Closed Access | Times Cited: 1395
Deep learning-enabled medical computer vision
Andre Esteva, Katherine Chou, Serena Yeung, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 850
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
Ravi Aggarwal, Viknesh Sounderajah, Guy Martin, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 554
Using machine learning approaches for multi-omics data analysis: A review
Parminder Singh Reel, Smarti Reel, Ewan R. Pearson, et al.
Biotechnology Advances (2021) Vol. 49, pp. 107739-107739
Open Access | Times Cited: 511
The imperative for regulatory oversight of large language models (or generative AI) in healthcare
Bertalan Meskó, Eric J. Topol
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 496
Synthetic data in machine learning for medicine and healthcare
Richard J. Chen, Ming Lu, Tiffany Chen, et al.
Nature Biomedical Engineering (2021) Vol. 5, Iss. 6, pp. 493-497
Open Access | Times Cited: 471
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis
Urs J. Muehlematter, Paola Daniore, Kerstin Noëlle Vokinger
The Lancet Digital Health (2021) Vol. 3, Iss. 3, pp. e195-e203
Open Access | Times Cited: 439
How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals
Eric Q. Wu, Kevin Wu, Roxana Daneshjou, et al.
Nature Medicine (2021) Vol. 27, Iss. 4, pp. 582-584
Closed Access | Times Cited: 350
AI recognition of patient race in medical imaging: a modelling study
Judy Wawira Gichoya, Imon Banerjee, Ananth Reddy Bhimireddy, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 6, pp. e406-e414
Open Access | Times Cited: 313
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence
Kicky G. van Leeuwen, Steven Schalekamp, Matthieu Rutten, et al.
European Radiology (2021) Vol. 31, Iss. 6, pp. 3797-3804
Open Access | Times Cited: 307
Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review
Leo Anthony Celi, Jacqueline Cellini, Marie‐Laure Charpignon, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 3, pp. e0000022-e0000022
Open Access | Times Cited: 248
Digital Pathology: Advantages, Limitations and Emerging Perspectives
Stephan Jahn, Markus Plass, Farid Moinfar
Journal of Clinical Medicine (2020) Vol. 9, Iss. 11, pp. 3697-3697
Open Access | Times Cited: 235
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom
Ellen Lee, John Torous, Munmun De Choudhury, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2021) Vol. 6, Iss. 9, pp. 856-864
Open Access | Times Cited: 230
Artificial intelligence for clinical oncology
Benjamin H. Kann, Ahmed Hosny, Hugo J.W.L. Aerts
Cancer Cell (2021) Vol. 39, Iss. 7, pp. 916-927
Open Access | Times Cited: 222
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review
Albert T. Young, Dominic Amara, A. Bhattacharya, et al.
The Lancet Digital Health (2021) Vol. 3, Iss. 9, pp. e599-e611
Open Access | Times Cited: 196
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol
Viknesh Sounderajah, Hutan Ashrafian, Robert Golub, et al.
BMJ Open (2021) Vol. 11, Iss. 6, pp. e047709-e047709
Open Access | Times Cited: 190
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare
Jean Feng, Rachael V. Phillips, Ivana Malenica, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 184
The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Shiva Maleki Varnosfaderani, Mohamad Forouzanfar
Bioengineering (2024) Vol. 11, Iss. 4, pp. 337-337
Open Access | Times Cited: 170
Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit
Davy van de Sande, Michel E. van Genderen, Joost Huiskens, et al.
Intensive Care Medicine (2021) Vol. 47, Iss. 7, pp. 750-760
Open Access | Times Cited: 163
Artificial intelligence in oncology: current applications and future perspectives
Claudio Luchini, Antonio Pea, Aldo Scarpa
British Journal of Cancer (2021) Vol. 126, Iss. 1, pp. 4-9
Open Access | Times Cited: 159
Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment
Narendra N. Khanna, Mahesh Maindarkar, Vijay Viswanathan, et al.
Healthcare (2022) Vol. 10, Iss. 12, pp. 2493-2493
Open Access | Times Cited: 153
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
Swarm learning for decentralized artificial intelligence in cancer histopathology
Oliver Lester Saldanha, Philip Quirke, Nicholas P. West, et al.
Nature Medicine (2022) Vol. 28, Iss. 6, pp. 1232-1239
Open Access | Times Cited: 146
Machine learning in clinical decision making
Lorenz Adlung, Yotam Cohen, Uria Mor, et al.
Med (2021) Vol. 2, Iss. 6, pp. 642-665
Open Access | Times Cited: 142
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose, et al.
Nature Medicine (2021) Vol. 27, Iss. 10, pp. 1663-1665
Open Access | Times Cited: 138
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