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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:

Revolutionizing radiation therapy: the role of AI in clinical practice
Mariko Kawamura, Takeshi Kamomae, Masahiro Yanagawa, et al.
Journal of Radiation Research (2023) Vol. 65, Iss. 1, pp. 1-9
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

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: 36
Radiotherapy toxicities: mechanisms, management, and future directions
Ioannis I. Verginadis, Deborah E. Citrin, Bonnie Ky, et al.
The Lancet (2025)
Closed Access | Times Cited: 2
Artificial intelligence for medicine 2025: Navigating the endless frontier
Jiyan Dai, Huiyu Xu, Tao Chen, et al.
The Innovation Medicine (2025), pp. 100120-100120
Closed Access | Times Cited: 2
Applications of artificial intelligence for machine- and patient-specific quality assurance in radiation therapy: current status and future directions
Tomohiro Ono, Hiraku Iramina, Hideaki Hirashima, et al.
Journal of Radiation Research (2024) Vol. 65, Iss. 4, pp. 421-432
Open Access | Times Cited: 9
Data set terminology of deep learning in medicine: a historical review and recommendation
Shannon L. Walston, Hiroshi Seki, Hirotaka Takita, et al.
Japanese Journal of Radiology (2024) Vol. 42, Iss. 10, pp. 1100-1109
Closed Access | Times Cited: 6
Applications of artificial intelligence in interventional oncology: An up-to-date review of the literature
Yusuke Matsui, Daiju Ueda, Shohei Fujita, et al.
Japanese Journal of Radiology (2024)
Open Access | Times Cited: 6
Recent trends in AI applications for pelvic MRI: a comprehensive review
Takahiro Tsuboyama, Masahiro Yanagawa, Tomoyuki Fujioka, et al.
La radiologia medica (2024) Vol. 129, Iss. 9, pp. 1275-1287
Closed Access | Times Cited: 5
JJR-TOP GUN Phase 1, Year 2: new perspectives through the integration of artificial intelligence and radiology
Koji Kamagata, Shinji Naganawa
Japanese Journal of Radiology (2025)
Open Access
A fully automated machine-learning-based workflow for radiation treatment planning in prostate cancer
Jan-Hendrik Bolten, David Neugebauer, Christoph A. Grott, et al.
Clinical and Translational Radiation Oncology (2025) Vol. 52, pp. 100933-100933
Open Access
Medical imaging and artificial intelligence in radiotherapy of malignant tumors
G. Panshin, Н. В. Нуднов
Medical Visualization (2025)
Closed Access
Artificial intelligence in dental radiology: a narrative review
Muneeba Ali, Muhammad Irfan, Tooba Ali, et al.
Annals of Medicine and Surgery (2025) Vol. 87, Iss. 4, pp. 2212-2217
Open Access
Hallmarks of artificial intelligence contributions to precision oncology
Tiangen Chang, Seongyong Park, Alejandro A. Schäffer, et al.
Nature Cancer (2025)
Closed Access
Continuing Professional Development—Radiation Therapy

Journal of Medical Radiation Sciences (2025)
Open Access
Radiation oncology patients’ perceptions of artificial intelligence and machine learning in cancer care: A multi-centre cross-sectional study
Joseph Chan, Lisa Parker, Stacy M. Carter, et al.
Radiotherapy and Oncology (2025), pp. 110891-110891
Closed Access
A Japanese national survey on IMRT/SBRT in 2023 by the JASTRO High-Precision External Beam Radiotherapy Group
Masahide Saito, Shuichi Ozawa, Takafumi Komiyama, et al.
Journal of Radiation Research (2025)
Open Access
Artificial intelligence in the diagnosis and management of gynecologic cancer
Chaiyawut Paiboonborirak, Nadeem R. Abu‐Rustum, Sarikapan Wilailak
International Journal of Gynecology & Obstetrics (2025)
Open Access
Research advancements in machine learning-assisted design of reinforced composite radiation shields
Ugochukwu C. Okonkwo, Christian Emeka Okafor, Shahnawaz Ahmad, et al.
Life Cycle Reliability and Safety Engineering (2025)
Closed Access
Unleashing economic potential of AI-driven technology to prevent adverse events and sub-optimal treatment
L.M. Maas, C. Contreras-Meca, Wim Vos, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2025)
Closed Access
Integration of Artificial Intelligence in Radiation Oncology: A Narrative Review
David R. Penberthy, Sean S. Mahase
AI in Precision Oncology (2025)
Closed Access
Navigating the Future: A Comprehensive Review of Artificial Intelligence Applications in Gastrointestinal Cancer
Sreetama Mukherjee, Sunita Vagha, Pravin Gadkari
Cureus (2024)
Open Access | Times Cited: 3
Challenges and opportunities to integrate artificial intelligence in radiation oncology: a narrative review
C. Jeong, Y. M. Goh, Jungwon Kwak
The Ewha Medical Journal (2024) Vol. 47, Iss. 4
Open Access | Times Cited: 3
Possible integration of artificial intelligence with photodynamic therapy and diagnosis: A review
Nkune Williams Nkune, Heidi Abrahamse
Journal of Drug Delivery Science and Technology (2024) Vol. 101, pp. 106210-106210
Open Access | Times Cited: 3
Advancing clinical MRI exams with artificial intelligence: Japan’s contributions and future prospects
Shohei Fujita, Yasutaka Fushimi, Rintaro Ito, et al.
Japanese Journal of Radiology (2024)
Open Access | Times Cited: 3
Overview of Target-Oriented Project Group United for Nippon (TOP GUN): fostering interdisciplinary collaboration among young researchers in radiology on timely topics
Koji Kamagata, Shinji Naganawa
Japanese Journal of Radiology (2024) Vol. 42, Iss. 9, pp. 935-936
Open Access | Times Cited: 2
The role of MRI in radiotherapy planning: a narrative review “from head to toe”
S. Di Pietro, Giulia Di Martino, Mara Caroprese, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
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