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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:

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: 485

Showing 1-25 of 485 citing articles:

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Yogesh Kumar, Apeksha Koul, Ruchi Singla, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 8459-8486
Open Access | Times Cited: 600
The future of early cancer detection
Rebecca C. Fitzgerald, Antonis C. Antoniou, Ljiljana Fruk, et al.
Nature Medicine (2022) Vol. 28, Iss. 4, pp. 666-677
Closed Access | Times Cited: 247
Artificial intelligence and machine learning in precision and genomic medicine
Sameer Quazi
Medical Oncology (2022) Vol. 39, Iss. 8
Open Access | Times Cited: 203
The Role of Artificial Intelligence in Early Cancer Diagnosis
Benjamin Hunter, Sumeet Hindocha, Richard W. Lee
Cancers (2022) Vol. 14, Iss. 6, pp. 1524-1524
Open Access | Times Cited: 184
Early lung cancer diagnostic biomarker discovery by machine learning methods
Ying Xie, Wei-Yu Meng, Runze Li, et al.
Translational Oncology (2020) Vol. 14, Iss. 1, pp. 100907-100907
Open Access | Times Cited: 172
Machine learning in clinical decision making
Lorenz Adlung, Yotam Cohen, Uria Mor, et al.
Med (2021) Vol. 2, Iss. 6, pp. 642-665
Open Access | Times Cited: 141
The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Shiva Maleki Varnosfaderani, Mohamad Forouzanfar
Bioengineering (2024) Vol. 11, Iss. 4, pp. 337-337
Open Access | Times Cited: 139
Artificial Intelligence in Endodontics: Current Applications and Future Directions
Anita Aminoshariae, Jim Kulild, Venkateshbabu Nagendrababu
Journal of Endodontics (2021) Vol. 47, Iss. 9, pp. 1352-1357
Closed Access | Times Cited: 129
Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective
Shigao Huang, Jie Yang, Na Shen, et al.
Seminars in Cancer Biology (2023) Vol. 89, pp. 30-37
Closed Access | Times Cited: 123
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review
Rasheed Omobolaji Alabi, Omar Youssef, Matti Pirinen, et al.
Artificial Intelligence in Medicine (2021) Vol. 115, pp. 102060-102060
Closed Access | Times Cited: 118
Artificial intelligence in the diagnosis of COVID-19: challenges and perspectives
Shigao Huang, Jie Yang, Simon Fong, et al.
International Journal of Biological Sciences (2021) Vol. 17, Iss. 6, pp. 1581-1587
Open Access | Times Cited: 117
Machine learning in the prediction of cancer therapy
Raihan Rafique, S. M. Riazul Islam, Julhash U. Kazi
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 4003-4017
Open Access | Times Cited: 117
Artificial Intelligence-based methods in head and neck cancer diagnosis: an overview
Hanya Mahmood, Muhammad Shaban, Nasir Rajpoot, et al.
British Journal of Cancer (2021) Vol. 124, Iss. 12, pp. 1934-1940
Open Access | Times Cited: 110
Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach
Bo Zhang, Huiping Shi, Hongtao Wang
Journal of Multidisciplinary Healthcare (2023) Vol. Volume 16, pp. 1779-1791
Open Access | Times Cited: 105
Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives
Molly Bekbolatova, Jonathan Mayer, Chi Wei Ong, et al.
Healthcare (2024) Vol. 12, Iss. 2, pp. 125-125
Open Access | Times Cited: 104
Deep Learning on Histopathological Images for Colorectal Cancer Diagnosis: A Systematic Review
Athena S. Davri, Effrosyni Birbas, Theofilos Kanavos, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 837-837
Open Access | Times Cited: 73
Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications
Yawen Wu, Michael Cheng, Shuo Huang, et al.
Cancers (2022) Vol. 14, Iss. 5, pp. 1199-1199
Open Access | Times Cited: 70
Shifting the Cancer Screening Paradigm: The Rising Potential of Blood-Based Multi-Cancer Early Detection Tests
Tiago Brito-Rocha, Vera Constâncio, Rui Henrique, et al.
Cells (2023) Vol. 12, Iss. 6, pp. 935-935
Open Access | Times Cited: 49
Artificial Intelligence in CT and MR Imaging for Oncological Applications
Ramesh Paudyal, Akash Shah, Oğuz Akın, et al.
Cancers (2023) Vol. 15, Iss. 9, pp. 2573-2573
Open Access | Times Cited: 46
Multi-OMICS approaches in cancer biology: New era in cancer therapy
Sohini Chakraborty, Gaurav Sharma, Sricheta Karmakar, et al.
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2024) Vol. 1870, Iss. 5, pp. 167120-167120
Closed Access | Times Cited: 41
Artificial Intelligence for Clinical Prediction: Exploring Key Domains and Essential Functions
Mohamed Khalifa, Mona Albadawy
Computer Methods and Programs in Biomedicine Update (2024) Vol. 5, pp. 100148-100148
Open Access | Times Cited: 34
Employing nano-enabled artificial intelligence (AI)-based smart technologies for prediction, screening, and detection of cancer
Vibhas Chugh, Adreeja Basu, Ajeet Kaushik, et al.
Nanoscale (2024) Vol. 16, Iss. 11, pp. 5458-5486
Closed Access | Times Cited: 15
Large Language Models in Healthcare: A Bibliometric Analysis and Examination of Research Trends
Gülcan Gencer, Kerem Gencer
Journal of Multidisciplinary Healthcare (2025) Vol. Volume 18, pp. 223-238
Open Access | Times Cited: 2
Advanced deep learning algorithms in oral cancer detection: Techniques and applications
Dipali Wankhade, Chitra Dhawale, Mrunal Meshram
Journal of Environmental Science and Health Part C (2025), pp. 1-26
Closed Access | Times Cited: 1
Advancing cancer diagnosis and treatment: integrating image analysis and AI algorithms for enhanced clinical practice
Hamid Reza Saeidnia, Faezeh Firuzpour, Marcin Kozak, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access | Times Cited: 1
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