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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:

Protecting patient safety and privacy in the era of artificial intelligence
Andrea Alonso, Jeffrey J. Siracuse
Seminars in Vascular Surgery (2023) Vol. 36, Iss. 3, pp. 426-429
Closed Access | Times Cited: 16

Showing 16 citing articles:

AI and Ethics: A Systematic Review of the Ethical Considerations of Large Language Model Use in Surgery Research
Sophia M. Pressman, Sahar Borna, Cesar A. Gomez-Cabello, et al.
Healthcare (2024) Vol. 12, Iss. 8, pp. 825-825
Open Access | Times Cited: 33
The Role of Artificial Intelligence in Nutrition Research: A Scoping Review
Andrea Sosa-Holwerda, Oak-Hee Park, Kembra Albracht‐Schulte, et al.
Nutrients (2024) Vol. 16, Iss. 13, pp. 2066-2066
Open Access | Times Cited: 14
Ethical and social issues related to AI in healthcare
Himel Mondal, Shaikat Mondal
Methods in microbiology (2024), pp. 247-281
Closed Access | Times Cited: 6
Harnessing the power of artificial intelligence for human living organoid research
Hui Wang, Xiangyang Li, Xiaoyan You, et al.
Bioactive Materials (2024) Vol. 42, pp. 140-164
Open Access | Times Cited: 5
Path analysis of factors influencing registered nurses' safety behavior in China: A mediation effect model
Lili Yao, Qinghua Zhao, Dingqun Bai, et al.
Japan Journal of Nursing Science (2025) Vol. 22, Iss. 1
Closed Access
Cross-border data sharing through the lens of research ethics committee members in sub-Saharan Africa
Nezerith Cengiz, Siti M. Kabanda, Keymanthri Moodley
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0303828-e0303828
Open Access | Times Cited: 3
Establishing a Validation Infrastructure for Imaging-Based Artificial Intelligence Algorithms Before Clinical Implementation
Ojas A. Ramwala, Kathryn P. Lowry, Nathan Cross, et al.
Journal of the American College of Radiology (2024) Vol. 21, Iss. 10, pp. 1569-1574
Closed Access | Times Cited: 2
Artificial intelligence, medications, pharmacogenomics, and ethics
Susanne B. Haga
Pharmacogenomics (2024), pp. 1-12
Closed Access | Times Cited: 2
Managing a patient with uveitis in the era of artificial intelligence: Current approaches, emerging trends, and future perspectives
William Rojas‐Carabali, Carlos Cifuentes‐González, Laura Gutiérrez-Sinisterra, et al.
Asia-Pacific Journal of Ophthalmology (2024) Vol. 13, Iss. 4, pp. 100082-100082
Open Access | Times Cited: 1
Computational Surgery in the Management of Patients with Abdominal Aortic Aneurysms: Opportunities, Challenges, and Future Directions
Mario D’Oria, Juliette Raffort, Sara Condino, et al.
Seminars in Vascular Surgery (2024) Vol. 37, Iss. 3, pp. 298-305
Open Access | Times Cited: 1
A Scientometric Review of Medical Artificial Intelligence Research: From A Social Science Perspective
Yonghao Liu, Yu Mu
Journal of Information Analysis (2024) Vol. 2, pp. 7-7
Open Access
Artificial intelligence: The magic 8 ball for vascular surgery
Sharon C. Kiang
JVS Vascular Science (2024) Vol. 5, pp. 100197-100197
Open Access
Risks of Artificial Intelligence (AI) in Medicine
Nikolaos M. Siafakas, Eirini Vasarmidi
Pneumon (2024) Vol. 37, Iss. 3, pp. 1-5
Open Access
Evaluating and Reducing Subgroup Disparity in AI Models: An Analysis of Pediatric COVID-19 Test Outcomes
Alexander Libin, Jonah T. Treitler, Tadas Vasaitis, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Evaluating and Reducing Subgroup Disparity in AI Models Predicting Pediatric COVID-19 Test Outcomes
Alexander Libin, Jonah T. Treitler, Tadas Vasaitis, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 5033-5042
Closed Access
Evaluating and Reducing AI Model Group Disparity: An Analysis of COVID Test Outcomes in Children
Alexander Libin, Jonah T. Treitler, Yijun Shao
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2023), pp. 1511-1513
Closed Access
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