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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.

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Showing 13 citing articles:

Intratumoral and peritumoral radiomics of MRIs predicts pathologic complete response to neoadjuvant chemoimmunotherapy in patients with head and neck squamous cell carcinoma
Peiliang Lin, Wenqian Xie, Yong Li, et al.
Journal for ImmunoTherapy of Cancer (2024) Vol. 12, Iss. 11, pp. e009616-e009616
Open Access | Times Cited: 6
Identification of CT-based non-invasive radiomic biomarkers for overall survival prediction in oral cavity squamous cell carcinoma
Ling Xiao, Gregory S. Alexander, Jason K. Molitoris, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13
MRI radiomics in head and neck cancer from reproducibility to combined approaches
Anna Corti, Stefano Cavalieri, Giuseppina Calareso, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Can MRI radiomics predict neck metastasis at initial diagnosis in patients with squamous cell carcinoma of the tongue?
Akira Oki, Shin Nakamura, Junichiro Sakamoto, et al.
Oral Radiology (2025)
Closed Access
Prognostic Power of Radiomics in Head and Neck Cancers: Insights from a Meta-Analysis
Tingwei Wang, Chih-Keng Wang, Jia‐Sheng Hong, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 262, pp. 108683-108683
Closed Access
Interplay between MRI radiomics and immune gene expression signatures in oral squamous cell carcinoma
Anna Corti, Deborah Lenoci, Valentina Corino, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Predicting Response to Exclusive Combined Radio-Chemotherapy in Naso-Oropharyngeal Cancer: The Role of Texture Analysis
Eleonora Bicci, Leonardo Calamandrei, A Finizio, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 1036-1036
Open Access | Times Cited: 2
Magnetic resonance imaging-based prediction models for tumor stage and cervical lymph node metastasis of tongue squamous cell carcinoma
Antonello Vidiri, Simona Marzi, Francesca Piludu, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 4277-4287
Open Access | Times Cited: 5
A Radiomics Approach to Identify Immunologically Active Tumor in Patients with Head and Neck Squamous Cell Carcinomas
Tan Mai Nguyen, Chloé Bertolus, P Giraud, et al.
Cancers (2023) Vol. 15, Iss. 22, pp. 5369-5369
Open Access | Times Cited: 5
Developing a robust two-step machine learning multiclassification pipeline to predict primary site in head and neck carcinoma from lymph nodes
Jiaying Liu, Anna Corti, Giuseppina Calareso, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24377-e24377
Open Access | Times Cited: 1
Prediction of bone invasion of oral squamous cell carcinoma using a magnetic resonance imaging-based machine learning model
Elif Meltem Aslan Öztürk, Gürkan Ünsal, Ferhat Erişir, et al.
European Archives of Oto-Rhino-Laryngology (2024) Vol. 281, Iss. 12, pp. 6585-6597
Open Access | Times Cited: 1
The prognostic role of MRI-based radiomics in tongue carcinoma: a multicentric validation study
Marta Tagliabue, Francesca Ruju, Chiara Mossinelli, et al.
La radiologia medica (2024) Vol. 129, Iss. 9, pp. 1369-1381
Open Access | Times Cited: 1
Imaging Modalities for Head and Neck Cancer
Gabriel A. Hernandez-Herrera, Gabriela A. Calcano, Alex A. Nagelschneider, et al.
Surgical Oncology Clinics of North America (2024) Vol. 33, Iss. 4, pp. 617-649
Closed Access
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