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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:

High-performance medicine: the convergence of human and artificial intelligence
Eric J. Topol
Nature Medicine (2018) Vol. 25, Iss. 1, pp. 44-56
Closed Access | Times Cited: 4765

Showing 26-50 of 4765 citing articles:

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
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis
Davood Karimi, Haoran Dou, Simon K. Warfield, et al.
Medical Image Analysis (2020) Vol. 65, pp. 101759-101759
Open Access | Times Cited: 521
Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Directions
J. Matthew Helm, Andrew Swiergosz, Heather S. Haeberle, et al.
Current Reviews in Musculoskeletal Medicine (2020) Vol. 13, Iss. 1, pp. 69-76
Open Access | Times Cited: 516
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
Guang Yang, Qinghao Ye, Jun Xia
Information Fusion (2021) Vol. 77, pp. 29-52
Open Access | Times Cited: 513
Ethical and legal challenges of artificial intelligence-driven healthcare
Sara Gerke, Timo Minssen, Glenn Cohen
Elsevier eBooks (2020), pp. 295-336
Open Access | Times Cited: 504
The imperative for regulatory oversight of large language models (or generative AI) in healthcare
Bertalan Meskó, Eric J. Topol
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 496
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
Mark Alber, Adrián Buganza Tepole, William R. Cannon, et al.
npj Digital Medicine (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 491
Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges
Shigao Huang, Jie Yang, Simon Fong, et al.
Cancer Letters (2019) Vol. 471, pp. 61-71
Open Access | Times Cited: 488
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
The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies
Aniek F. Markus, Jan A. Kors, Peter R. Rijnbeek
Journal of Biomedical Informatics (2020) Vol. 113, pp. 103655-103655
Open Access | Times Cited: 474
Artificial Intelligence in Medicine: Today and Tomorrow
Giovanni Briganti, Olivier Le Moine
Frontiers in Medicine (2020) Vol. 7
Open Access | Times Cited: 461
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
Cheng Jin, Weixiang Chen, Yukun Cao, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 460
Artificial Intelligence for Clinical Trial Design
Stefan Harrer, Pratik Shah, Bhavna Antony, et al.
Trends in Pharmacological Sciences (2019) Vol. 40, Iss. 8, pp. 577-591
Open Access | Times Cited: 458
Pleiotropy and Specificity: Insights from the Interleukin 6 Family of Cytokines
Masaaki Murakami, Daisuke Kamimura, Toshio Hirano
Immunity (2019) Vol. 50, Iss. 4, pp. 812-831
Open Access | Times Cited: 439
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis
Urs J. Muehlematter, Paola Daniore, Kerstin Noëlle Vokinger
The Lancet Digital Health (2021) Vol. 3, Iss. 3, pp. e195-e203
Open Access | Times Cited: 439
Improving the accuracy of medical diagnosis with causal machine learning
Jonathan G. Richens, Ciarán M. Lee, Saurabh Johri
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 438
The ethics of AI in health care: A mapping review
Jessica Morley, Caio C. Vieira Machado, Christopher Burr, et al.
Social Science & Medicine (2020) Vol. 260, pp. 113172-113172
Closed Access | Times Cited: 428
A framework for designing delivery systems
Wilson Poon, Benjamin R. Kingston, Ben Ouyang, et al.
Nature Nanotechnology (2020) Vol. 15, Iss. 10, pp. 819-829
Closed Access | Times Cited: 427
On evaluation metrics for medical applications of artificial intelligence
Steven A. Hicks, Inga Strümke, Vajira Thambawita, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 423
Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline
Michał F. Kamiński, Cesare Hassan, Raf Bisschops, et al.
Endoscopy (2014) Vol. 46, Iss. 05, pp. 435-457
Open Access | Times Cited: 414
The Triboelectric Nanogenerator as an Innovative Technology toward Intelligent Sports
Jianjun Luo, Wenchao Gao, Zhong Lin Wang
Advanced Materials (2021) Vol. 33, Iss. 17
Closed Access | Times Cited: 409
deepDR: a network-based deep learning approach toin silicodrug repositioning
Xiangxiang Zeng, Siyi Zhu, Xiangrong Liu, et al.
Bioinformatics (2019) Vol. 35, Iss. 24, pp. 5191-5198
Open Access | Times Cited: 408
Artificial intelligence and machine learning in clinical development: a translational perspective
Pratik Shah, Francis Kendall, Sean Khozin, et al.
npj Digital Medicine (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 400
Machine learning for clinical decision support in infectious diseases: a narrative review of current applications
Nathan Peiffer‐Smadja, Timothy M. Rawson, Raheelah Ahmad, et al.
Clinical Microbiology and Infection (2019) Vol. 26, Iss. 5, pp. 584-595
Open Access | Times Cited: 386

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