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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:

Prognostic value of textural indices extracted from pretherapeutic 18‐F FDG‐PET/CT in head and neck squamous cell carcinoma
Catherine Guezennec, Philippe Robin, Fanny Orlhac, et al.
Head & Neck (2018) Vol. 41, Iss. 2, pp. 495-502
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

A Systematic Review of PET Textural Analysis and Radiomics in Cancer
Manuel Piñeiro-Fiel, Alexis Moscoso, Virginia Pubul, et al.
Diagnostics (2021) Vol. 11, Iss. 2, pp. 380-380
Open Access | Times Cited: 47
A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images
Omneya Attallah
Digital Health (2022) Vol. 8, pp. 205520762210925-205520762210925
Open Access | Times Cited: 36
Role of 18F-FDG PET/CT in Head and Neck Squamous Cell Carcinoma: Current Evidence and Innovative Applications
Carmelo Caldarella, Marina De Risi, Mariangela Massaccesi, et al.
Cancers (2024) Vol. 16, Iss. 10, pp. 1905-1905
Open Access | Times Cited: 7
Evaluation of the Prognostic Value of FDG PET/CT Parameters for Patients With Surgically Treated Head and Neck Cancer
Gwenaëlle Creff, Anne Devillers, Adrien Depeursinge, et al.
JAMA Otolaryngology–Head & Neck Surgery (2020) Vol. 146, Iss. 5, pp. 471-471
Closed Access | Times Cited: 39
Radiomics-based prediction of survival in patients with head and neck squamous cell carcinoma based on pre- and post-treatment 18F-PET/CT
Zheran Liu, Yuan Cao, Wei Diao, et al.
Aging (2020) Vol. 12, Iss. 14, pp. 14593-14619
Open Access | Times Cited: 39
Machine learning-based FDG PET-CT radiomics for outcome prediction in larynx and hypopharynx squamous cell carcinoma
Jim Zhong, Russell Frood, Peter Brown, et al.
Clinical Radiology (2020) Vol. 76, Iss. 1, pp. 78.e9-78.e17
Closed Access | Times Cited: 33
Integrative radiogenomics analysis for predicting molecular features and survival in clear cell renal cell carcinoma
Hao Zeng, Linyan Chen, Manni Wang, et al.
Aging (2021) Vol. 13, Iss. 7, pp. 9960-9975
Open Access | Times Cited: 29
Prognostic Value of Metabolic, Volumetric and Textural Parameters of Baseline [18F]FDG PET/CT in Early Triple-Negative Breast Cancer
Clément Bouron, Clara Mathie, Valérie Seegers, et al.
Cancers (2022) Vol. 14, Iss. 3, pp. 637-637
Open Access | Times Cited: 22
A systematic review and meta‐analysis of predictive and prognostic models for outcome prediction using positron emission tomography radiomics in head and neck squamous cell carcinoma patients
Mahima Merin Philip, A. Welch, Fergus McKiddie, et al.
Cancer Medicine (2023) Vol. 12, Iss. 15, pp. 16181-16194
Open Access | Times Cited: 12
Inter-observer and segmentation method variability of textural analysis in pre-therapeutic FDG PET/CT in head and neck cancer
Catherine Guezennec, David Bourhis, Fanny Orlhac, et al.
PLoS ONE (2019) Vol. 14, Iss. 3, pp. e0214299-e0214299
Open Access | Times Cited: 33
Radiomics and Texture Analysis in Laryngeal Cancer. Looking for New Frontiers in Precision Medicine through Imaging Analysis
Carlos M. Chiesa‐Estomba, Oier Echaniz, Ekhiñe Larruscain, et al.
Cancers (2019) Vol. 11, Iss. 10, pp. 1409-1409
Open Access | Times Cited: 28
Radiomics in Oncological PET Imaging: A Systematic Review—Part 1, Supradiaphragmatic Cancers
David Morland, Elizabeth Katherine Anna Triumbari, Luca Boldrini, et al.
Diagnostics (2022) Vol. 12, Iss. 6, pp. 1329-1329
Open Access | Times Cited: 14
The prognostic value of radiomic features from pre- and post-treatment 18F-FDG PET imaging in patients with nasopharyngeal carcinoma
Soo Jeong Kim, Joon Young Choi, Yong Chan Ahn, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Prognostic Value of Radiomic Analysis Using Pre- and Post-Treatment 18F-FDG-PET/CT in Patients with Laryngeal Cancer and Hypopharyngeal Cancer
Joon Ho Choi, Joon Young Choi, Sang‐Keun Woo, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 1, pp. 71-71
Open Access | Times Cited: 2
The application of radiomics in laryngeal cancer
Amarkumar Dhirajlal Rajgor, Shreena Patel, David McCulloch, et al.
British Journal of Radiology (2021) Vol. 94, Iss. 1128
Open Access | Times Cited: 17
Prognostic value of pre-therapeutic FDG-PET radiomic analysis in gastro-esophageal junction cancer
Karim Amrane, Philippe Thuillier, David Bourhis, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Diagnostic Utility of Radiomics in Thyroid and Head and Neck Cancers
Maryam Gul, Kimberley-Jane C. Bonjoc, David Gorlin, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 13
The usefulness of machine-learning-based evaluation of clinical and pretreatment 18F-FDG-PET/CT radiomic features for predicting prognosis in patients with laryngeal cancer
Masatoyo Nakajo, Hiromi Nagano, Megumi Jinguji, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1149
Open Access | Times Cited: 5
18F-FDG PET/CT imaging of pediatric peripheral neuroblastic tumor: a combined model to predict the International Neuroblastoma Pathology Classification
Luodan Qian, Lijuan Feng, Shuxin Zhang, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 13, Iss. 1, pp. 94-107
Open Access | Times Cited: 8
Prediction of survival outcome based on clinical features and pretreatment 18FDG-PET/CT for HNSCC patients
Sayantani Ghosh, Shaurav Maulik, Sanjoy Chatterjee, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 195, pp. 105669-105669
Closed Access | Times Cited: 12
Evaluation of bone marrow invasion on the machine learning of 18F-FDG PET texture analysis in lower gingival squamous cell carcinoma
Yasuhiro Fukushima, Keisuke Suzuki, Mai Kim, et al.
Nuclear Medicine Communications (2024) Vol. 45, Iss. 5, pp. 406-411
Open Access | Times Cited: 1
Systematic review and meta-analysis of the prognostic value of 18F-Fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) and/or computed tomography (CT)-based radiomics in head and neck cancer
Boyuan Wang, J. Liu, Jing Xie, et al.
Clinical Radiology (2024) Vol. 79, Iss. 10, pp. 757-772
Closed Access | Times Cited: 1
Prognostic Value of Pre-Treatment [18F]FDG PET/CT Texture Analysis in Undifferentiated Soft-Tissue Sarcoma
Alessio Annovazzi, Virginia Ferraresi, Renato Covello, et al.
Journal of Clinical Medicine (2022) Vol. 12, Iss. 1, pp. 279-279
Open Access | Times Cited: 5
Diagnostic value of positron-emission tomography textural indices for malignancy of 18F-fluorodeoxyglucose-avid adrenal lesions
Philippe Thuillier, David Bourhis, Ulrike Schick, et al.
The Quarterly Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 65, Iss. 1
Closed Access | Times Cited: 6
Radiomics in Hypopharyngeal Cancer Management: A State-of-the-Art Review
Carlos M. Chiesa‐Estomba, Miguel Mayo‐Yáñez, Orlando Guntinas–Lichius, et al.
Biomedicines (2023) Vol. 11, Iss. 3, pp. 805-805
Open Access | Times Cited: 2
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