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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 Head and Neck Cancer: A Safe Bet?—A Clinically Oriented Systematic Review for the Radiation Oncologist
Stefania Volpe, Matteo Pepa, Mattia Zaffaroni, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 22

Showing 22 citing articles:

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 115
Artificial Intelligence in Head and Neck Cancer: A Systematic Review of Systematic Reviews
Antti Mäkitie, Rasheed Omobolaji Alabi, Sweet Ping Ng, et al.
Advances in Therapy (2023) Vol. 40, Iss. 8, pp. 3360-3380
Open Access | Times Cited: 33
Clinical application of MR-Linac in tumor radiotherapy: a systematic review
Xin Liu, Zhenjiang Li, Yong Yin
Radiation Oncology (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 22
Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer
John Adeoye, Liuling Hui, Yu‐Xiong Su
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 19
A review on AI-based medical image computing in head and neck surgery
Jiangchang Xu, Bolun Zeng, Jan Egger, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 17, pp. 17TR01-17TR01
Closed Access | Times Cited: 27
Systematic reviews of machine learning in healthcare: a literature review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2023) Vol. 24, Iss. 1, pp. 63-115
Open Access | Times Cited: 14
Artificial Intelligence in Neuroradiology: A Review of Current Topics and Competition Challenges
Daniel T. Wagner, Luke Tilmans, Kevin A. Peng, et al.
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2670-2670
Open Access | Times Cited: 11
A systematic review of the role of artificial intelligence in automating computed tomography-based adaptive radiotherapy for head and neck cancer
E. Mastella, Francesca Calderoni, Luigi Manco, et al.
Physics and Imaging in Radiation Oncology (2025) Vol. 33, pp. 100731-100731
Open Access
Advancements in Hyperspectral Imaging and Computer-Aided Diagnostic Methods for the Enhanced Detection and Diagnosis of Head and Neck Cancer
I‐Chen Wu, Yen‐Chun Chen, Riya Karmakar, et al.
Biomedicines (2024) Vol. 12, Iss. 10, pp. 2315-2315
Open Access | Times Cited: 3
Metabolomics of head and neck cancer in biofluids: an integrative systematic review
Natalia Chuchueva, Filippo Carta, Hoang N. Nguyen, et al.
Metabolomics (2023) Vol. 19, Iss. 9
Closed Access | Times Cited: 8
Magnetic Resonance-Guided Radiation Therapy for Head and Neck Cancers
Danny Lavigne, Sweet Ping Ng, Brian O’Sullivan, et al.
Current Oncology (2022) Vol. 29, Iss. 11, pp. 8302-8315
Open Access | Times Cited: 10
AI for outcome prediction in Radiation Oncology: The present and the future
Stefania Volpe, Lars Johannes Isaksson, Barbara Alicja Jereczek‐Fossa
Elsevier eBooks (2024), pp. 239-251
Closed Access | Times Cited: 1
Elevating Patient Care with Deep Learning: High-Resolution Cervical Auscultation Signals for Swallowing Kinematic Analysis in Nasogastric Tube Patients
Farnaz Khodami, Amanda S. Mahoney, James L. Coyle, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2024) Vol. 12, pp. 711-720
Open Access | Times Cited: 1
Magnetic Resonance Guided Radiotherapy for Head and Neck Cancers
Laila A. Gharzai, Benjamin Rosen, Bharat B. Mittal, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 5, pp. 1388-1388
Open Access | Times Cited: 6
Impact of image filtering and assessment of volume-confounding effects on CT radiomic features and derived survival models in non-small cell lung cancer
Stefania Volpe, Lars Johannes Isaksson, Mattia Zaffaroni, et al.
Translational Lung Cancer Research (2022) Vol. 11, Iss. 12, pp. 2452-2463
Open Access | Times Cited: 6
Blood- and Imaging-Derived Biomarkers for Oncological Outcome Modelling in Oropharyngeal Cancer: Exploring the Low-Hanging Fruit
Stefania Volpe, Aurora Gaeta, Francesca Colombo, et al.
Cancers (2023) Vol. 15, Iss. 7, pp. 2022-2022
Open Access | Times Cited: 3
Advances in and applications of imaging and radiomics in head and neck cancer survivorship
Laurelie R. Wishart, Elizabeth C. Ward, Graham J. Galloway
Current Opinion in Otolaryngology & Head & Neck Surgery (2023) Vol. 31, Iss. 6, pp. 368-373
Closed Access | Times Cited: 3
Systematic Reviews of Machine Learning in Healthcare: A Literature Review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Pretreatment radiomics power in evaluating neoadjuvant chemotherapy response and outcome for patients with head and neck squamous cell carcinoma: a systematic review and meta-analysis
Yalian Yu, Xinyao Li, Wei Li, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
External validation of an 18F-FDG-PET radiomic model predicting survival after radiotherapy for oropharyngeal cancer
Martina Mori, C.L. Deantoni, Michela Olivieri, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2023) Vol. 50, Iss. 5, pp. 1329-1336
Closed Access
Pretreatment radiomics power in evaluating neoadjuvant chemotherapy response and outcome for patients with head and neck squamous cell carcinoma: a systematic review and meta-analysis
Yalian Yu, Xinyao Li, Hongbo Wang, et al.
Research Square (Research Square) (2023)
Open Access
Clinical applications of radiomics and artificial intelligence: prognostic stratification and response to treatment
Riccardo De Robertis, Flavio Spoto, Francesca Pasquazzo, et al.
Journal of Radiological Review (2023) Vol. 10, Iss. 3
Closed Access
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