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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:

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: 542

Showing 1-25 of 542 citing articles:

Large language models in medicine
Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kabilan Elangovan, et al.
Nature Medicine (2023) Vol. 29, Iss. 8, pp. 1930-1940
Closed Access | Times Cited: 1310
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: 349
The need to separate the wheat from the chaff in medical informatics
Federico Cabitza, Andrea Campagner
International Journal of Medical Informatics (2021) Vol. 153, pp. 104510-104510
Open Access | Times Cited: 199
Federated learning and differential privacy for medical image analysis
Mohammed Adnan, Shivam Kalra, Jesse C. Cresswell, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 188
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis
Christian Leibig, Moritz Brehmer, Stefan Bunk, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 7, pp. e507-e519
Open Access | Times Cited: 129
The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals
Nadine Bachmann, Shailesh Tripathi, Brunner Manuel, et al.
Sustainability (2022) Vol. 14, Iss. 5, pp. 2497-2497
Open Access | Times Cited: 118
Deep Learning Based Methods for Breast Cancer Diagnosis: A Systematic Review and Future Direction
Maged Nasser, Umi Kalsom Yusof
Diagnostics (2023) Vol. 13, Iss. 1, pp. 161-161
Open Access | Times Cited: 110
Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward
Eyad Elyan, Pattaramon Vuttipittayamongkol, Pamela Johnston, et al.
Artificial Intelligence Surgery (2022)
Open Access | Times Cited: 88
Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis
Peng Xue, Jiaxu Wang, Dongxu Qin, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 84
Smart Health
Yin Yang, Keng Siau, Wen Xie, et al.
Journal of Organizational and End User Computing (2022) Vol. 34, Iss. 1, pp. 1-14
Open Access | Times Cited: 83
Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review
Can Cui, Haichun Yang, Yaohong Wang, et al.
Progress in Biomedical Engineering (2023) Vol. 5, Iss. 2, pp. 022001-022001
Open Access | Times Cited: 76
Artificial intelligence: A critical review of applications for lung nodule and lung cancer
Constance de Margerie‐Mellon, Guillaume Chassagnon
Diagnostic and Interventional Imaging (2022) Vol. 104, Iss. 1, pp. 11-17
Open Access | Times Cited: 70
Deep learning based object detection for resource constrained devices: Systematic review, future trends and challenges ahead
Vidya Kamath, A. Renuka
Neurocomputing (2023) Vol. 531, pp. 34-60
Closed Access | Times Cited: 59
A guide to artificial intelligence for cancer researchers
Raquel Pérez-López, Narmin Ghaffari Laleh, Faisal Mahmood, et al.
Nature reviews. Cancer (2024) Vol. 24, Iss. 6, pp. 427-441
Closed Access | Times Cited: 55
Generative Artificial Intelligence Through ChatGPT and Other Large Language Models in Ophthalmology
Ting Fang Tan, Arun James Thirunavukarasu, J. Peter Campbell, et al.
Ophthalmology Science (2023) Vol. 3, Iss. 4, pp. 100394-100394
Open Access | Times Cited: 53
Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions
Ali Kashif Bashir, Nancy Victor, Sweta Bhattacharya, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21873-21891
Closed Access | Times Cited: 52
Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography
Michael H. Bernstein, Michael K. Atalay, Elizabeth H. Dibble, et al.
European Radiology (2023) Vol. 33, Iss. 11, pp. 8263-8269
Open Access | Times Cited: 44
Artificial Intelligence, Augmented Reality, and Virtual Reality Advances and Applications in Interventional Radiology
Elizabeth Von Ende, Sean G. Ryan, Matthew A. Crain, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 892-892
Open Access | Times Cited: 43
Current and potential applications of artificial intelligence in medical imaging practice: A narrative review
Jaka Potočnik, Shane Foley, Edel Thomas
Journal of medical imaging and radiation sciences (2023) Vol. 54, Iss. 2, pp. 376-385
Closed Access | Times Cited: 41
Antimicrobial resistance: a concise update
Charlotte Shan Ho, Carlos T H Wong, Thet Tun Aung, et al.
The Lancet Microbe (2024), pp. 100947-100947
Open Access | Times Cited: 24
Diagnosis and prognosis of abnormal cardiac scintigraphy uptake suggestive of cardiac amyloidosis using artificial intelligence: a retrospective, international, multicentre, cross-tracer development and validation study
Clemens P. Spielvogel, David Haberl, Katharina Mascherbauer, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 4, pp. e251-e260
Open Access | Times Cited: 21
A survey on training challenges in generative adversarial networks for biomedical image analysis
Muhammad Muneeb Saad, Ruairi O’Reilly, Mubashir Husain Rehmani
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 19
Present and Future Innovations in AI and Cardiac MRI
Manuel A. Morales, Warren J. Manning, Reza Nezafat
Radiology (2024) Vol. 310, Iss. 1
Closed Access | Times Cited: 17
Ensemble of Autoencoders for Anomaly Detection in Biomedical Data: A Narrative Review
Ali Nawaz, Shehroz S. Khan, Amir Ahmad
IEEE Access (2024) Vol. 12, pp. 17273-17289
Open Access | Times Cited: 16
Deep learning in oral cancer- a systematic review
Kritsasith Warin, Siriwan Suebnukarn
BMC Oral Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 16
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