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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:

Benefits of automated gross tumor volume segmentation in head and neck cancer using multi-modality information
Heleen Bollen, Siri Willems, M. Wegge, et al.
Radiotherapy and Oncology (2023) Vol. 182, pp. 109574-109574
Open Access | Times Cited: 14

Showing 14 citing articles:

Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
Nian‐Nian Zhong, Hanqi Wang, Xin-Yue Huang, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 52-74
Closed Access | Times Cited: 39
HaN-Seg: The head and neck organ-at-risk CT and MR segmentation challenge
Gašper Podobnik, Bulat Ibragimov, Elias Tappeiner, et al.
Radiotherapy and Oncology (2024) Vol. 198, pp. 110410-110410
Open Access | Times Cited: 10
Adaptive radiotherapy for head and neck cancer: Pitfalls and possibilities from the radiation oncologist's point of view
Sandra Nuyts, Heleen Bollen, Avrahram Eisbruch, et al.
Cancer Medicine (2024) Vol. 13, Iss. 8
Open Access | Times Cited: 4
Large language model-augmented learning for auto-delineation of treatment targets in head-and-neck cancer radiotherapy
Praveenbalaji Rajendran, Yong Yang, Thomas Niedermayr, et al.
Radiotherapy and Oncology (2025), pp. 110740-110740
Closed Access
Head and Neck Gross Tumor Volume Automatic Segmentation Using PocketNet
Awj Twam, Adrian Celaya, Evan Lim, et al.
Lecture notes in computer science (2025), pp. 241-249
Open Access
Uncertainty-Aware Deep Learning for Segmentation of Primary Tumor and Pathologic Lymph Nodes in Oropharyngeal Cancer: Insights from a Multi-Center Cohort
Alessia de Biase, Nanna M. Sijtsema, Lisanne V. van Dijk, et al.
Computerized Medical Imaging and Graphics (2025), pp. 102535-102535
Open Access
Impact of consensus guidelines on delineation of primary tumor clinical target volume (CTVp) for head and neck cancer: Results of a national review project
Heleen Bollen, Ákos Gulybán, Sandra Nuyts
Radiotherapy and Oncology (2023) Vol. 189, pp. 109915-109915
Open Access | Times Cited: 7
Is full-automation in radiotherapy treatment planning ready for take off?
Dylan Callens, Ciaran Malone, Antony Carver, et al.
Radiotherapy and Oncology (2024) Vol. 201, pp. 110546-110546
Open Access | Times Cited: 2
Auto-segmentation of neck nodal metastases using self-distilled masked image transformer on longitudinal MR images
Ramesh Paudyal, Jue Jiang, James E. Han, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 1
Multi‐modal segmentation with missing image data for automatic delineation of gross tumor volumes in head and neck cancers
Yao Zhao, Xin Wang, Jack Phan, et al.
Medical Physics (2024) Vol. 51, Iss. 10, pp. 7295-7307
Closed Access | Times Cited: 1
Weighted Fusion Transformer for Dual PET/CT Head and Neck Tumor Segmentation
Mohammed A. Mahdi, Shahanawaj Ahamad, Sawsan Ali Saad, et al.
IEEE Access (2024) Vol. 12, pp. 110905-110919
Open Access | Times Cited: 1
Exploring the Prospect of Enhancing Cancer Radiotherapy in Hospitals and Health Care Centers in Nigeria Through Artificial Intelligence: A Promising Frontier
Hassan Momoh, Halimat Ibrahim, Muhammad Abdulmalik, et al.
Journal of applied science and environmental management (2024) Vol. 28, Iss. 4, pp. 1069-1081
Open Access
Artificial Intelligence Research in Radiation Oncology: A Practical Guide for the Clinician on Concepts and Methods
Frank Hoebers, Leonard Wee, Jirapat Likitlersuang, et al.
BJR|Open (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 1
Use of artificial intelligence in total mesorectal excision in rectal cancer surgery: State of the art and perspectives
Vinicio Mosca, Giacomo Fuschillo, Guido Sciaudone, et al.
Artificial Intelligence in Gastroenterology (2023) Vol. 4, Iss. 3, pp. 64-71
Open Access
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