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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:

Machine Learning for Auto-Segmentation in Radiotherapy Planning
K. Harrison, H. Pullen, Ceilidh Welsh, et al.
Clinical Oncology (2022) Vol. 34, Iss. 2, pp. 74-88
Closed Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Artificial Intelligence for Radiotherapy Auto-Contouring: Current Use, Perceptions of and Barriers to Implementation
Sumeet Hindocha, Kieran Zucker, R. Jena, et al.
Clinical Oncology (2023) Vol. 35, Iss. 4, pp. 219-226
Open Access | Times Cited: 41
A Review of the Metrics Used to Assess Auto-Contouring Systems in Radiotherapy
K. Mackay, D. Bernstein, Ben Glocker, et al.
Clinical Oncology (2023) Vol. 35, Iss. 6, pp. 354-369
Open Access | Times Cited: 39
Review and recommendations on deformable image registration uncertainties for radiotherapy applications
Lena Nenoff, Florian Amstutz, Martina Murr, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 24, pp. 24TR01-24TR01
Open Access | Times Cited: 24
Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives
Ayhan Can Erdur, Daniel Rusche, Daniel Scholz, et al.
Strahlentherapie und Onkologie (2024)
Open Access | Times Cited: 13
Review of Deep Learning Based Autosegmentation for Clinical Target Volume: Current Status and Future Directions
Thomas Matoska, Mira A. Patel, Hefei Liu, et al.
Advances in Radiation Oncology (2024) Vol. 9, Iss. 5, pp. 101470-101470
Open Access | Times Cited: 12
Artificial intelligence-based MRI radiomics and radiogenomics in glioma
Haiqing Fan, Yilin Luo, Fang Gu, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 10
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
Artificial intelligence in radiotherapy
Guangqi Li, Xin Wu, Xuelei Ma
Seminars in Cancer Biology (2022) Vol. 86, pp. 160-171
Closed Access | Times Cited: 29
The role of artificial intelligence in radiotherapy clinical practice
Guillaume Landry, Christopher Kurz, Alberto Traverso
BJR|Open (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 20
Clinical Implementation and Evaluation of Auto-Segmentation Tools for Multi-Site Contouring in Radiotherapy
Gerd Heilemann, Martin Buschmann, Wolfgang Lechner, et al.
Physics and Imaging in Radiation Oncology (2023) Vol. 28, pp. 100515-100515
Open Access | Times Cited: 20
NRG Oncology Assessment of Artificial Intelligence Deep Learning–Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions
Yi Rong, Quan Chen, Yabo Fu, et al.
International Journal of Radiation Oncology*Biology*Physics (2023) Vol. 119, Iss. 1, pp. 261-280
Closed Access | Times Cited: 19
Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge
Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, et al.
Medical Image Analysis (2023) Vol. 90, pp. 102972-102972
Open Access | Times Cited: 17
Gross failure rates and failure modes for a commercial AI‐based auto‐segmentation algorithm in head and neck cancer patients
Simon W. P. Temple, C. Rowbottom
Journal of Applied Clinical Medical Physics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 8
Radiomics for clinical decision support in radiation oncology
Luca Russo, Diepriye Charles-Davies, Silvia Bottazzi, et al.
Clinical Oncology (2024) Vol. 36, Iss. 8, pp. e269-e281
Open Access | Times Cited: 6
Addressing the Global Expertise Gap in Radiation Oncology: The Radiation Planning Assistant
Laurence E. Court, Ajay Aggarwal, Hester Burger, et al.
JCO Global Oncology (2023), Iss. 9
Open Access | Times Cited: 12
Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites
Kareem A. Wahid, Diana Lin, Onur Sahin, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 11
Artificial intelligence across oncology specialties: current applications and emerging tools
John Kang, Kyle Lafata, Ellen Kim, et al.
BMJ Oncology (2024) Vol. 3, Iss. 1, pp. e000134-e000134
Open Access | Times Cited: 4
Cardiac substructure delineation in radiation therapy – A state‐of‐the‐art review
Robert Finnegan, Alexandra Quinn, Jeremy Booth, et al.
Journal of Medical Imaging and Radiation Oncology (2024)
Open Access | Times Cited: 4
Uncertainty quantification in multi-parametric MRI-based meningioma radiotherapy target segmentation
L.W. Wang, Zhenyu Yang, Dominic LaBella, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Anticipating potential bottlenecks in adaptive proton FLASH therapy: a ridge filter reuse strategy
Benjamin Roberfroid, Macarena Chocan Vera, Camille Draguet, et al.
Physics in Medicine and Biology (2025) Vol. 70, Iss. 6, pp. 065005-065005
Closed Access
A qualitative, quantitative and dosimetric evaluation of a machine learning-based automatic segmentation method in treatment planning for gastric cancer
Michalis Mazonakis, Eleftherios Tzanis, Stefanos Kachris, et al.
Physica Medica (2025) Vol. 130, pp. 104896-104896
Closed Access
Sex-based bias in artificial intelligence-based segmentation models in clinical oncology
Florence X. Doo, W G Naranjo, Thodoris Kapouranis, et al.
Clinical Oncology (2025) Vol. 39, pp. 103758-103758
Closed Access
Machine learning to predict stroke risk from routine hospital data: A systematic review
William Heseltine-Carp, Megan Courtman, Daniel Browning, et al.
International Journal of Medical Informatics (2025), pp. 105811-105811
Open Access
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology
Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, et al.
ACM Transactions on Computer-Human Interaction (2025)
Open Access
An automated cone-beam CT dosimetric assessment pipeline for adaptive head and neck radiotherapy
Ruth Newton, Emily Russell, M. Tyyger, et al.
Journal of Radiotherapy in Practice (2025) Vol. 24
Closed Access
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