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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 oncology
Hideyuki Shimizu, Keiichi I. Nakayama
Cancer Science (2020) Vol. 111, Iss. 5, pp. 1452-1460
Open Access | Times Cited: 292

Showing 26-50 of 292 citing articles:

Advances in Artificial Intelligence (AI)-assisted approaches in drug screening
Samvedna Singh, Himanshi Gupta, Priyanshu Sharma, et al.
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100039-100039
Open Access | Times Cited: 35
The Impact of Artificial Intelligence on Optimizing Diagnosis and Treatment Plans for Rare Genetic Disorders
Shenouda Abdallah, Mouhammad Sharifa, Mohammed Khaleel I Kh Almadhoun, et al.
Cureus (2023)
Open Access | Times Cited: 34
Prediction of metastatic pheochromocytoma and paraganglioma: a machine learning modelling study using data from a cross-sectional cohort
Christina Pamporaki, Annika M.A. Berends, Angelos Filippatos, et al.
The Lancet Digital Health (2023) Vol. 5, Iss. 9, pp. e551-e559
Open Access | Times Cited: 30
Future of Artificial Intelligence Applications in Cancer Care: A Global Cross-Sectional Survey of Researchers
Bernardo Pereira Cabral, Luiza Amara Maciel Braga, Shabbir Syed-Abdul, et al.
Current Oncology (2023) Vol. 30, Iss. 3, pp. 3432-3446
Open Access | Times Cited: 24
Artificial intelligence in medical science: a review
Simrata Bindra, Richa Jain
Irish Journal of Medical Science (1971 -) (2023) Vol. 193, Iss. 3, pp. 1419-1429
Closed Access | Times Cited: 24
Artificial intelligence and machine learning in ocular oncology: Retinoblastoma
Swathi Kaliki, VijithaS Vempuluru, Neha Ghose, et al.
Indian Journal of Ophthalmology (2023) Vol. 71, Iss. 2, pp. 424-430
Open Access | Times Cited: 23
Artificial intelligence: opportunities and challenges in the clinical applications of triple-negative breast cancer
Jiamin Guo, Junjie Hu, Yichen Zheng, et al.
British Journal of Cancer (2023) Vol. 128, Iss. 12, pp. 2141-2149
Closed Access | Times Cited: 22
The Role of Circulating Tumor Cells as a Liquid Biopsy for Cancer: Advances, Biology, Technical Challenges, and Clinical Relevance
Tyler A. Allen
Cancers (2024) Vol. 16, Iss. 7, pp. 1377-1377
Open Access | Times Cited: 14
A Comprehensive Review of Silver and Gold Nanoparticles as Effective Antibacterial Agents
Ricardo Aguilar-Garay, Luis F. Lara-Ortiz, Maximiliano Campos-López, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 9, pp. 1134-1134
Open Access | Times Cited: 11
Artificial Intelligence in battling infectious diseases: A transformative role
Chunhui Li, Guoguo Ye, Yinghan Jiang, et al.
Journal of Medical Virology (2024) Vol. 96, Iss. 1
Closed Access | Times Cited: 8
Artificial Intelligence for Precision Oncology of Triple-Negative Breast Cancer: Learning from Melanoma
Ornella Garrone, Caterina A. M. La Porta
Cancers (2024) Vol. 16, Iss. 4, pp. 692-692
Open Access | Times Cited: 8
A deep dive into AI integration and advanced nanobiosensor technologies for enhanced bacterial infection monitoring
Habib Ullah Khan, Zahoor Jan, Inam Ullah, et al.
Nanotechnology Reviews (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach
Cheng-Sheng Yu, Jenny L Wu, Chun‐Ming Shih, et al.
Risk Management and Healthcare Policy (2025) Vol. Volume 18, pp. 77-93
Open Access | Times Cited: 1
Precision Oncology, Signaling Pathways Reprogramming and Targeted Therapy: A Holistic Approach to Molecular Cancer Therapeutics
Manish Kumar
(2025)
Closed Access | Times Cited: 1
A machine learning-based predictor for the identification of the recurrence of patients with gastric cancer after operation
Chengmao Zhou, Junhong Hu, Ying Wang, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 51
Improving cancer treatments via dynamical biophysical models
Maxim Kuznetsov, Jean Clairambault, Vitaly Volpert
Physics of Life Reviews (2021) Vol. 39, pp. 1-48
Open Access | Times Cited: 49
Radiomics in Oncology, Part 1: Technical Principles and Gastrointestinal Application in CT and MRI
Damiano Caruso, Michela Polici, Marta Zerunian, et al.
Cancers (2021) Vol. 13, Iss. 11, pp. 2522-2522
Open Access | Times Cited: 45
Artificial Intelligence: Review of Current and Future Applications in Medicine
L. Brannon Thomas, Stephen Mastorides, Narayan Viswanadhan, et al.
Federal practitioner (2021), Iss. 38 (11)
Open Access | Times Cited: 44
AI-enhanced simultaneous multiparametric 18F-FDG PET/MRI for accurate breast cancer diagnosis
Valeria Romeo, Paola Clauser, Sazan Rasul, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 49, Iss. 2, pp. 596-608
Open Access | Times Cited: 42
Artificial intelligence opportunities in cardio-oncology: Overview with spotlight on electrocardiography
Daniel Sierra-Lara Martinez, Peter A. Noseworthy, Oğuz Akbilgiç, et al.
American Heart Journal Plus Cardiology Research and Practice (2022) Vol. 15, pp. 100129-100129
Open Access | Times Cited: 33
Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis
Germana de Queiroz Tavares Borges Mesquita, Walbert de Andrade Vieira, Maria Tereza Campos Vidigal, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 1158-1179
Open Access | Times Cited: 19
The use of artificial intelligence tools in cancer detection compared to the traditional diagnostic imaging methods: An overview of the systematic reviews
Helbert Eustáquio Cardoso da Silva, Gláucia Nize Martins Santos, André Ferreira Leite, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292063-e0292063
Open Access | Times Cited: 19
Application of Artificial Intelligence to In Vitro Tumor Modeling and Characterization of the Tumor Microenvironment
Ren Yuan Lee, Yang Wu, Denise Goh, et al.
Advanced Healthcare Materials (2023) Vol. 12, Iss. 14
Open Access | Times Cited: 16
Opportunities and Challenges of Synthetic Data Generation in Oncology
Flavia Jacobs, Saverio D’Amico, C. Benvenuti, et al.
JCO Clinical Cancer Informatics (2023), Iss. 7
Closed Access | Times Cited: 16
Performance reporting design in artificial intelligence studies using image-based TNM staging and prognostic parameters in rectal cancer: a systematic review
Minsung Kim, Taeyong Park, Bo Young Oh, et al.
Annals of Coloproctology (2024) Vol. 40, Iss. 1, pp. 13-26
Open Access | Times Cited: 6

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