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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 1-25 of 292 citing articles:

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
Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Pakistan: A cross-sectional online survey
Zaboor Ahmed, Khurram Khaliq Bhinder, Amna Tariq, et al.
Annals of Medicine and Surgery (2022) Vol. 76
Open Access | Times Cited: 100
Artificial Intelligence in Oncology: Current Capabilities, Future Opportunities, and Ethical Considerations
Jacob Shreve, Sadia Khanani, Tufia C. Haddad
American Society of Clinical Oncology Educational Book (2022), Iss. 42, pp. 842-851
Open Access | Times Cited: 85
A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare
Molla Imaduddin Ahmed, Brendan Spooner, John Isherwood, et al.
Cureus (2023)
Open Access | Times Cited: 77
Artificial intelligence performance in image-based ovarian cancer identification: A systematic review and meta-analysis
He-Li Xu, Tingting Gong, Fang-Hua Liu, et al.
EClinicalMedicine (2022) Vol. 53, pp. 101662-101662
Open Access | Times Cited: 73
GPT-4 Artificial Intelligence Model Outperforms ChatGPT, Medical Students, and Neurosurgery Residents on Neurosurgery Written Board-Like Questions
Gage Guerra, Hayden L. Hofmann, Sina Sobhani, et al.
World Neurosurgery (2023) Vol. 179, pp. e160-e165
Closed Access | Times Cited: 72
Artificial intelligence in pancreatic cancer
Bowen Huang, Haoran Huang, Shuting Zhang, et al.
Theranostics (2022) Vol. 12, Iss. 16, pp. 6931-6954
Open Access | Times Cited: 68
Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review
Rizwan Qureshi, Muhammad Irfan, Hazrat Ali, et al.
IEEE Access (2023) Vol. 11, pp. 61600-61620
Open Access | Times Cited: 65
ChatGPT in glioma adjuvant therapy decision making: ready to assume the role of a doctor in the tumour board?
Julien Haemmerli, Lukas Sveikata, Aria Nouri, et al.
BMJ Health & Care Informatics (2023) Vol. 30, Iss. 1, pp. e100775-e100775
Open Access | Times Cited: 64
Artificial Intelligence in Medicine and Dentistry
Marin Vodanović, Marko Subašić, Denis Milošević, et al.
Acta Stomatologica Croatica (2023) Vol. 57, Iss. 1, pp. 70-84
Open Access | Times Cited: 50
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
Generative Adversarial Networks in Medicine: Important Considerations for this Emerging Innovation in Artificial Intelligence
Phani Paladugu, Joshua Ong, Nicolas G. Nelson, et al.
Annals of Biomedical Engineering (2023) Vol. 51, Iss. 10, pp. 2130-2142
Closed Access | Times Cited: 40
Artificial Intelligence (AI) for Early Diagnosis of Retinal Diseases
Uday Pratap Singh Parmar, Pier Luigi Surico, Rohan Bir Singh, et al.
Medicina (2024) Vol. 60, Iss. 4, pp. 527-527
Open Access | Times Cited: 19
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: 18
Recent advancements in nanoconstructs for the theranostics applications for triple negative breast cancer
Ashutosh Gupta, Kumar Nishchaya, Moumita Saha, et al.
Journal of Drug Delivery Science and Technology (2024) Vol. 93, pp. 105401-105401
Open Access | Times Cited: 16
Artificial Intelligence in Health Care: Current Applications and Issues
Chan-Woo Park, Sung Wook Seo, Noeul Kang, et al.
Journal of Korean Medical Science (2020) Vol. 35, Iss. 42
Open Access | Times Cited: 103
Role of Artificial Intelligence in the Early Diagnosis of Oral Cancer. A Scoping Review
María García-Pola, Eduardo Pons-Fuster, Carlota Suárez-Fernández, et al.
Cancers (2021) Vol. 13, Iss. 18, pp. 4600-4600
Open Access | Times Cited: 85
Principles of seed banks and the emergence of complexity from dormancy
Jay T. Lennon, Frank den Hollander, Maite Wilke-Berenguer, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 68
Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review
John Adeoye, Jia Tan, S. W. Choi, et al.
International Journal of Medical Informatics (2021) Vol. 154, pp. 104557-104557
Closed Access | Times Cited: 56
Advancements in Oncology with Artificial Intelligence—A Review Article
Nikitha Vobugari, Vikranth Raja, Udhav Sethi, et al.
Cancers (2022) Vol. 14, Iss. 5, pp. 1349-1349
Open Access | Times Cited: 56
Deep learning techniques for cancer classification using microarray gene expression data
Surbhi Gupta, Manoj Gupta, Mohammad Shabaz, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 55
Artificial Intelligence: The Milestone in Modern Biomedical Research
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos, et al.
BioMedInformatics (2022) Vol. 2, Iss. 4, pp. 727-744
Open Access | Times Cited: 37
Artificial intelligence in retinal disease: clinical application, challenges, and future directions
Malena Daich Varela, Sagnik Sen, Thales A. C. de Guimarães, et al.
Graefe s Archive for Clinical and Experimental Ophthalmology (2023) Vol. 261, Iss. 11, pp. 3283-3297
Open Access | Times Cited: 37
Global Cancer Surgery: pragmatic solutions to improve cancer surgery outcomes worldwide
Chandrakanth Are, Shilpa S. Murthy, Richard Sullivan, et al.
The Lancet Oncology (2023) Vol. 24, Iss. 12, pp. e472-e518
Closed Access | Times Cited: 35
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