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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:

Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning
Ekin Tiu, Ellie Talius, Pujan R. Patel, et al.
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1399-1406
Open Access | Times Cited: 176

Showing 1-25 of 176 citing articles:

Foundation models for generalist medical artificial intelligence
Michael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad, et al.
Nature (2023) Vol. 616, Iss. 7956, pp. 259-265
Open Access | Times Cited: 728
A foundation model for generalizable disease detection from retinal images
Yukun Zhou, Mark A. Chia, Siegfried Wagner, et al.
Nature (2023) Vol. 622, Iss. 7981, pp. 156-163
Open Access | Times Cited: 283
The Current and Future State of AI Interpretation of Medical Images
Pranav Rajpurkar, Matthew P. Lungren
New England Journal of Medicine (2023) Vol. 388, Iss. 21, pp. 1981-1990
Closed Access | Times Cited: 213
A visual–language foundation model for pathology image analysis using medical Twitter
Zhi Huang, Federico Bianchi, Mert Yüksekgönül, et al.
Nature Medicine (2023) Vol. 29, Iss. 9, pp. 2307-2316
Closed Access | Times Cited: 209
A visual-language foundation model for computational pathology
Ming Lu, Bowen Chen, Drew F. K. Williamson, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 863-874
Open Access | Times Cited: 119
Large AI Models in Health Informatics: Applications, Challenges, and the Future
Jianing Qiu, Lin Li, Jiankai Sun, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 12, pp. 6074-6087
Open Access | Times Cited: 113
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Benyou Wang, Qianqian Xie, Jiahuan Pei, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 3, pp. 1-52
Open Access | Times Cited: 84
Evaluating progress in automatic chest X-ray radiology report generation
Feiyang Yu, Mark Endo, Rayan Krishnan, et al.
Patterns (2023) Vol. 4, Iss. 9, pp. 100802-100802
Open Access | Times Cited: 71
A Multimodal Generative AI Copilot for Human Pathology
Ming Lu, Bowen Chen, Drew F. K. Williamson, et al.
Nature (2024)
Open Access | Times Cited: 68
On the challenges and perspectives of foundation models for medical image analysis
Shaoting Zhang, Dimitris Metaxas
Medical Image Analysis (2023) Vol. 91, pp. 102996-102996
Open Access | Times Cited: 65
Knowledge-enhanced visual-language pre-training on chest radiology images
Xiaoman Zhang, Chaoyi Wu, Ya Zhang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 62
Evaluating the Sensitivity, Specificity, and Accuracy of ChatGPT-3.5, ChatGPT-4, Bing AI, and Bard Against Conventional Drug-Drug Interactions Clinical Tools
Fahmi Y. Al-Ashwal, Mohammed Zawiah, Lobna Gharaibeh, et al.
Drug Healthcare and Patient Safety (2023) Vol. Volume 15, pp. 137-147
Open Access | Times Cited: 57
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
Ming Lu, Bowen Chen, Andrew Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 19764-19775
Open Access | Times Cited: 44
Generative Artificial Intelligence for Chest Radiograph Interpretation in the Emergency Department
Jonathan Huang, Luke A Neill, Matthew T. Wittbrodt, et al.
JAMA Network Open (2023) Vol. 6, Iss. 10, pp. e2336100-e2336100
Open Access | Times Cited: 44
A medical multimodal large language model for future pandemics
Fenglin Liu, Tingting Zhu, Xian Wu, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 43
Heterogeneity and predictors of the effects of AI assistance on radiologists
Feiyang Yu, Alex Moehring, Oishi Banerjee, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 837-849
Open Access | Times Cited: 41
Interactive computer-aided diagnosis on medical image using large language models
Sheng Wang, Zihao Zhao, Xi Ouyang, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 37
Foundation model for cancer imaging biomarkers
Suraj Pai, Dennis Bontempi, Ibrahim Hadžić, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 3, pp. 354-367
Open Access | Times Cited: 32
ChatGPT in medicine: prospects and challenges: a review article
Songtao Tan, Xin Xin, Di Wu
International Journal of Surgery (2024)
Open Access | Times Cited: 32
The limits of fair medical imaging AI in real-world generalization
Yuzhe Yang, Haoran Zhang, Judy Wawira Gichoya, et al.
Nature Medicine (2024) Vol. 30, Iss. 10, pp. 2838-2848
Open Access | Times Cited: 27
Rapid deep learning-assisted predictive diagnostics for point-of-care testing
Seungmin Lee, Jeong‐Soo Park, Hyowon Woo, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 26
Analysis of 3D pathology samples using weakly supervised AI
Andrew H. Song, Mane Williams, Drew F. K. Williamson, et al.
Cell (2024) Vol. 187, Iss. 10, pp. 2502-2520.e17
Open Access | Times Cited: 24
Transparent medical image AI via an image–text foundation model grounded in medical literature
Chanwoo Kim, Soham Gadgil, Alex J. DeGrave, et al.
Nature Medicine (2024) Vol. 30, Iss. 4, pp. 1154-1165
Closed Access | Times Cited: 23
Large language models and multimodal foundation models for precision oncology
Daniel Truhn, Jan‐Niklas Eckardt, Dyke Ferber, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 20
Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images
Laith Alzubaidi, Asma Salhi, Mohammed A. Fadhel, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0299545-e0299545
Open Access | Times Cited: 17
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