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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:

International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Nature (2020) Vol. 577, Iss. 7788, pp. 89-94
Open Access | Times Cited: 2300

Showing 1-25 of 2300 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
Data-efficient and weakly supervised computational pathology on whole-slide images
Ming Lu, Drew F. K. Williamson, Tiffany Chen, et al.
Nature Biomedical Engineering (2021) Vol. 5, Iss. 6, pp. 555-570
Open Access | Times Cited: 1082
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
Shuroug A. Alowais, Sahar S. Alghamdi, Nada Alsuhebany, et al.
BMC Medical Education (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 1018
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
Secure, privacy-preserving and federated machine learning in medical imaging
Georgios Kaissis, Marcus R. Makowski, Daniel Rückert, et al.
Nature Machine Intelligence (2020) Vol. 2, Iss. 6, pp. 305-311
Open Access | Times Cited: 829
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Zeeshan Ahmed, Khalid Gaffer Mohamed, Saman Zeeshan, et al.
Database (2020) Vol. 2020
Open Access | Times Cited: 619
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
Xiaoxuan Liu, Samantha Cruz Rivera, David Moher, et al.
Nature Medicine (2020) Vol. 26, Iss. 9, pp. 1364-1374
Open Access | Times Cited: 609
Human–computer collaboration for skin cancer recognition
Philipp Tschandl, Claus Rinner, Zoé Apalla, et al.
Nature Medicine (2020) Vol. 26, Iss. 8, pp. 1229-1234
Closed Access | Times Cited: 606
Deep learning in histopathology: the path to the clinic
Jeroen van der Laak, Geert Litjens, Francesco Ciompi
Nature Medicine (2021) Vol. 27, Iss. 5, pp. 775-784
Open Access | Times Cited: 599
Applications of Artificial Intelligence and Machine learning in smart cities
Zaib Ullah, Fadi Al‐Turjman, Leonardo Mostarda, et al.
Computer Communications (2020) Vol. 154, pp. 313-323
Closed Access | Times Cited: 559
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
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen, Ximin Wang, Ke Zhang, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102444-102444
Open Access | Times Cited: 538
AI applications to medical images: From machine learning to deep learning
Isabella Castiglioni, Leonardo Rundo, Marina Codari, et al.
Physica Medica (2021) Vol. 83, pp. 9-24
Open Access | Times Cited: 483
Deep learning in cancer pathology: a new generation of clinical biomarkers
Amelie Echle, Niklas Rindtorff, Titus J. Brinker, et al.
British Journal of Cancer (2020) Vol. 124, Iss. 4, pp. 686-696
Open Access | Times Cited: 467
Predicting cancer outcomes with radiomics and artificial intelligence in radiology
Kaustav Bera, Nathaniel Braman, Amit Gupta, et al.
Nature Reviews Clinical Oncology (2021) Vol. 19, Iss. 2, pp. 132-146
Open Access | Times Cited: 455
Artificial Intelligence in Cancer Research and Precision Medicine
Bhavneet Bhinder, Coryandar Gilvary, Neel S. Madhukar, et al.
Cancer Discovery (2021) Vol. 11, Iss. 4, pp. 900-915
Open Access | Times Cited: 436
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 3458-3468
Open Access | Times Cited: 415
How Machine Learning Will Transform Biomedicine
Jeremy Goecks, Vahid Jalili, Laura M. Heiser, et al.
Cell (2020) Vol. 181, Iss. 1, pp. 92-101
Open Access | Times Cited: 408
AI in Medical Imaging Informatics: Current Challenges and Future Directions
Andreas S. Panayides, Amir A. Amini, Nenad Filipović, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 7, pp. 1837-1857
Open Access | Times Cited: 407
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
Samantha Cruz Rivera, Xiaoxuan Liu, An‐Wen Chan, et al.
Nature Medicine (2020) Vol. 26, Iss. 9, pp. 1351-1363
Open Access | Times Cited: 403
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study
Hyo-Eun Kim, Hak Hee Kim, Boo‐Kyung Han, et al.
The Lancet Digital Health (2020) Vol. 2, Iss. 3, pp. e138-e148
Open Access | Times Cited: 380
Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach
William Lotter, Abdul Rahman Diab, Bryan Haslam, et al.
Nature Medicine (2021) Vol. 27, Iss. 2, pp. 244-249
Open Access | Times Cited: 305
End-to-end privacy preserving deep learning on multi-institutional medical imaging
Georgios Kaissis, Alexander Ziller, Jonathan Passerat‐Palmbach, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 6, pp. 473-484
Open Access | Times Cited: 294
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension
Xiaoxuan Liu, Samantha Cruz Rivera, David Moher, et al.
BMJ (2020), pp. m3164-m3164
Open Access | Times Cited: 283
Explainable Artificial Intelligence: Objectives, Stakeholders, and Future Research Opportunities
Christian Meske, Enrico Bunde, Johannes Schneider, et al.
Information Systems Management (2020) Vol. 39, Iss. 1, pp. 53-63
Open Access | Times Cited: 273
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