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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:

Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer
Chris McIntosh, Leigh Conroy, Michael C. Tjong, et al.
Nature Medicine (2021) Vol. 27, Iss. 6, pp. 999-1005
Closed Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment
Kyle Swanson, Eric Q. Wu, Angela Zhang, et al.
Cell (2023) Vol. 186, Iss. 8, pp. 1772-1791
Closed Access | Times Cited: 250
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
Nature Medicine (2022) Vol. 28, Iss. 5, pp. 924-933
Open Access | Times Cited: 247
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
BMJ (2022), pp. e070904-e070904
Open Access | Times Cited: 162
Circulating tumor nucleic acids: biology, release mechanisms, and clinical relevance
Pavel Stejskal, Hani Goodarzi, Josef Srovnal, et al.
Molecular Cancer (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 125
Integrated MRI-guided radiotherapy — opportunities and challenges
Paul Keall, Caterina Brighi, Carri Glide‐Hurst, et al.
Nature Reviews Clinical Oncology (2022) Vol. 19, Iss. 7, pp. 458-470
Closed Access | Times Cited: 103
Artificial intelligence, machine learning, and deep learning in liver transplantation
Mamatha Bhat, Madhumitha Rabindranath, Beatriz Sordi Chara, et al.
Journal of Hepatology (2023) Vol. 78, Iss. 6, pp. 1216-1233
Open Access | Times Cited: 88
Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’?
Hana Baroudi, Kristy K. Brock, Wenhua Cao, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 667-667
Open Access | Times Cited: 54
Tribulations and future opportunities for artificial intelligence in precision medicine
Claudio Carini, Attila A. Seyhan
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 30
A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy
Coen Hurkmans, Jean‐Emmanuel Bibault, Kristy K. Brock, et al.
Radiotherapy and Oncology (2024) Vol. 197, pp. 110345-110345
Closed Access | Times Cited: 20
Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency
Ana María Barragán Montero, Adrien Bibal, Margerie Huet Dastarac, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 11, pp. 11TR01-11TR01
Open Access | Times Cited: 49
Quality Assurance for AI-Based Applications in Radiation Therapy
Michaël Claessens, Carmen Seller Oria, Charlotte L. Brouwer, et al.
Seminars in Radiation Oncology (2022) Vol. 32, Iss. 4, pp. 421-431
Open Access | Times Cited: 42
Artificial intelligence applications in prostate cancer
Atallah Baydoun, Angela Y. Jia, Nicholas G. Zaorsky, et al.
Prostate Cancer and Prostatic Diseases (2023) Vol. 27, Iss. 1, pp. 37-45
Closed Access | Times Cited: 40
Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trial
Guangyu Wang, Xiaohong Liu, Zhen Ying, et al.
Nature Medicine (2023) Vol. 29, Iss. 10, pp. 2633-2642
Open Access | Times Cited: 40
Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration
Lise Wei, Dipesh Niraula, Evan Gates, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1150
Open Access | Times Cited: 34
AI and machine learning ethics, law, diversity, and global impact
Katherine Drabiak, Skylar Kyzer, Valerie Nemov, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1150
Open Access | Times Cited: 32
Translation of AI into oncology clinical practice
Issam El Naqa, Aleksandra Karolak, Yi Luo, et al.
Oncogene (2023) Vol. 42, Iss. 42, pp. 3089-3097
Closed Access | Times Cited: 30
Emerging technologies for cancer therapy using accelerated particles
Christian Graeff, Lennart Volz, Marco Durante
Progress in Particle and Nuclear Physics (2023) Vol. 131, pp. 104046-104046
Open Access | Times Cited: 28
Harnessing progress in radiotherapy for global cancer control
David A. Jaffray, Felícia Marie Knaul, Michaël Baumann, et al.
Nature Cancer (2023) Vol. 4, Iss. 9, pp. 1228-1238
Closed Access | Times Cited: 28
Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review
Ruth Evans, Louise Bryant, Gregor Russell, et al.
International Journal of Medical Informatics (2024) Vol. 183, pp. 105342-105342
Open Access | Times Cited: 10
Towards equitable AI in oncology
Vidya Sankar Viswanathan, Vani Parmar, Anant Madabhushi
Nature Reviews Clinical Oncology (2024) Vol. 21, Iss. 8, pp. 628-637
Closed Access | Times Cited: 10
MR-linac: role of artificial intelligence and automation
S. Psoroulas, Alina Paunoiu, Stefanie Corradini, et al.
Strahlentherapie und Onkologie (2025)
Open Access | Times Cited: 1
First Report On Physician Assessment and Clinical Acceptability of Custom-Retrained Artificial Intelligence Models for Clinical Target Volume and Organs-at-Risk Auto-Delineation for Postprostatectomy Patients
Dean Hobbis, Nathan Y. Yu, Karl W. Mund, et al.
Practical Radiation Oncology (2023) Vol. 13, Iss. 4, pp. 351-362
Closed Access | Times Cited: 18
DECIDE-AI: a new reporting guideline and its relevance to artificial intelligence studies in radiology
Baptiste Vasey, Alex Novak, Sarim Ather, et al.
Clinical Radiology (2023) Vol. 78, Iss. 2, pp. 130-136
Closed Access | Times Cited: 17
Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer
Timothy N. Chu, Elyssa Y. Wong, Runzhuo Ma, et al.
Current Urology Reports (2023) Vol. 24, Iss. 5, pp. 231-240
Open Access | Times Cited: 16
SISS-MCO: large scale sparsity-induced spot selection for fast and fully-automated robust multi-criteria optimisation of proton plans
Wens Kong, Michelle Oud, S. Habraken, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 5, pp. 055035-055035
Open Access | Times Cited: 6
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