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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:

AI in health: keeping the human in the loop
Suzanne Bakken
Journal of the American Medical Informatics Association (2023) Vol. 30, Iss. 7, pp. 1225-1226
Open Access | Times Cited: 12

Showing 12 citing articles:

Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study
Arun James Thirunavukarasu, Shathar Mahmood, Andrew Malem, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 4, pp. e0000341-e0000341
Open Access | Times Cited: 22
A publishing infrastructure for Artificial Intelligence (AI)-assisted academic authoring
Milton Pividori, Casey S. Greene
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 9, pp. 2103-2113
Open Access | Times Cited: 12
Artificial intelligence and assistive technology: risks, rewards, challenges, and opportunities
Emma Smith, David Graham, Cathal Morgan, et al.
Assistive Technology (2023) Vol. 35, Iss. 5, pp. 375-377
Open Access | Times Cited: 18
Environment scan of generative AI infrastructure for clinical and translational science
Betina Idnay, Zihan Xu, William G. Adams, et al.
(2025) Vol. 2, Iss. 1
Open Access
ChatGPT: Opportunities, risks and priorities for psychiatry
Yaohui Wei, Lei Guo, Cheng Lian, et al.
Asian Journal of Psychiatry (2023) Vol. 90, pp. 103808-103808
Closed Access | Times Cited: 10
Model-agnostic explainable artificial intelligence tools for severity prediction and symptom analysis on Indian COVID-19 data
Athira Nambiar, S Harikrishnaa, S Sharanprasath
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 8
Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study
Arun James Thirunavukarasu, Shathar Mahmood, Andrew Malem, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
User and developer views on using Artificial Intelligence technologies to facilitate the early diagnosis of skin cancers in primary care settings: A qualitative study (Preprint)
O. T. G. Jones, Natália Calanzani, Suzanne E. Scott, et al.
(2024)
Open Access
Acceptance of Automated Social Risk Scoring in the Emergency Department: Clinician, Staff, and Patient Perspectives
Olena Mazurenko, Adam T. Hirsh, Christopher A. Harle, et al.
Western Journal of Emergency Medicine (2024) Vol. 25, Iss. 4
Open Access
WestJEM Full Issue Text
Nicole Valenzi
Western Journal of Emergency Medicine (2024) Vol. 25, Iss. 4
Open Access
User and developer views on using Artificial Intelligence technologies to facilitate the early diagnosis of skin cancers in primary care settings: A qualitative study (Preprint)
O. T. G. Jones, Natália Calanzani, Suzanne E. Scott, et al.
JMIR Cancer (2024)
Open Access
Using artificial intelligence technologies to improve skin cancer detection in primary care
O. T. G. Jones, Rubeta Matin, Fiona M Walter
The Lancet Digital Health (2024)
Open Access
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