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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: Current Landscape, Challenges, and Future Directions
William Lotter, Michael J. Hassett, Nikolaus Schultz, et al.
Cancer Discovery (2024) Vol. 14, Iss. 5, pp. 711-726
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

OpenAI’s GPT-4o in surgical oncology: Revolutionary advances in generative artificial intelligence
Ning Zhu, Nan Zhang, Qipeng Shao, et al.
European Journal of Cancer (2024) Vol. 206, pp. 114132-114132
Closed Access | Times Cited: 9
Global research trends in the application of artificial intelligence in oncology care: a bibliometric study
Ming Xu, Ya‐Fang Chen, Tianen Wu, et al.
Frontiers in Oncology (2025) Vol. 14
Open Access
Editorial: Artificial intelligence and imaging for oncology
Yuxiang Zhou, Zhimin Li, Poonam Yadav
Frontiers in Oncology (2025) Vol. 15
Open Access
Towards understanding cancer dormancy over strategic hitching up mechanisms to technologies
Sumin Yang, Jieun Seo, Jeong‐Hyeon Choi, et al.
Molecular Cancer (2025) Vol. 24, Iss. 1
Open Access
Using mathematical modelling and AI to improve delivery and efficacy of therapies in cancer
Constantinos Harkos, Andreas G. Hadjigeorgiou, Chrysovalantis Voutouri, et al.
Nature reviews. Cancer (2025)
Closed Access
A bibliometric analysis of the advance of artificial intelligence in medicine
M. S. Lin, Lingzhi Lin, Lingling Lin, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Technological advances in clinical individualized medication for cancer therapy: from genes to whole organism
Jiejing Kai, Xueling Liu, Meijia Wu, et al.
Personalized Medicine (2025), pp. 1-14
Open Access
Sağlık Hizmetlerinde Yapay Zeka: Temel Kavramlar ve Sınıflandırmalar
Hakan Yönden
(2025)
Closed Access
Clinical and Pathological Staging Discrepancies in Laryngeal Cancer: A Systematic Review
Giancarlo Pecorari, Andrea De Lorenzi, Matteo Caria, et al.
Cancers (2025) Vol. 17, Iss. 3, pp. 455-455
Open Access
Practical Applications of Artificial Intelligence Diagnostic Systems in Fundus Retinal Disease Screening
Qingquan Wei, Lifang Chi, Meiling Li, et al.
International Journal of General Medicine (2025) Vol. Volume 18, pp. 1173-1180
Open Access
Potential of AI and ML in oncology research including diagnosis, treatment and future directions: A comprehensive prospective
Akanksha Gupta, Sarita Bajaj, Priyanshu Nema, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109918-109918
Closed Access
AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis
Esther Ugo Alum
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
Potential application of artificial intelligence in cancer therapy
Irbaz Bin Riaz, Muhammad Ali Khan, Tufia C. Haddad
Current Opinion in Oncology (2024) Vol. 36, Iss. 5, pp. 437-448
Closed Access | Times Cited: 3
Generative AI in oncological imaging: Revolutionizing cancer detection and diagnosis
Yashbir Singh, Quincy A. Hathaway, Bradley J. Erickson
Oncotarget (2024) Vol. 15, Iss. 1, pp. 607-608
Open Access | Times Cited: 3
Identification of prognostic signatures in remnant gastric cancer through an interpretable risk model based on machine learning: a multicenter cohort study
Zhouwei Zhan, Bijuan Chen, Hui Cheng, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Navigating the complexities of artificial intelligence in scientific writing: a dual perspective
Gabriel Levin, Sabrina Piedimonte, Behrouz Zand
International Journal of Gynecological Cancer (2024) Vol. 34, Iss. 10, pp. 1495-1498
Open Access | Times Cited: 1
New implementation of data standards for AI research in precision oncology. Experience from EuCanImage
Teresa García‐Lezana, Maciej Bobowicz, Santiago Frid, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Current status and prospects of minimally invasive hepatobiliary surgery
Jie Li, Ping Chen
Intelligent Surgery (2024) Vol. 7, pp. 47-52
Open Access
A bibliometric analysis of the advance of artificial intelligence in medicine (Preprint)
mian lin, Lingzhi Lin, Lingling Lin, et al.
(2024)
Open Access
Assessment of PD-L1 expression and tumour infiltrating lymphocytes in early-stage non-small cell lung carcinoma with artificial intelligence algorithms
Aída Molero, Susana Hernández, Marta Alonso de la Varga, et al.
Journal of Clinical Pathology (2024), pp. jcp-209766
Open Access
Evolving Artificial Intelligence (AI) at the Crossroads: Potentiating Productive vs. Declining Disruptive Cancer Research
Nilesh Kumar Sharma, Sachin C. Sarode
Cancers (2024) Vol. 16, Iss. 21, pp. 3646-3646
Open Access
Weakly supervised multiple instance learning model with generalization ability for clinical adenocarcinoma screening on serous cavity effusion pathology
Yupeng Zhang, Xiaolong Zhu, Zhong Li, et al.
Modern Pathology (2024) Vol. 38, Iss. 2, pp. 100648-100648
Closed Access
Artificial intelligence in fracture detection on radiographs: a literature review
Antonio Lo Mastro, Enrico Grassi, Daniela Berritto, et al.
Japanese Journal of Radiology (2024)
Closed Access
AI Innovations in Global Health in the Context of Climate Change
Paraskevi Papadopoulou, Stella Apostolaki, Miltiadis D. Lytras, et al.
Advances in healthcare information systems and administration book series (2024), pp. 1-52
Closed Access
Key considerations when implementing new diagnostic technologies in routine practice
Jochen K. Lennerz
Deleted Journal (2024)
Closed Access
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