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 26-50 of 39 citing articles:

Development of a Model Based on Delta-Radiomic Features for the Optimization of Head and Neck Squamous Cell Carcinoma Patient Treatment
Severina Šedienė, Ilona Kulakienė, Benas Gabrielis Urbonavičius, et al.
Medicina (2023) Vol. 59, Iss. 6, pp. 1173-1173
Open Access | Times Cited: 2

Texture Analysis Using Preoperative Positron Emission Tomography Images May Predict the Prognosis of Patients With Resectable Oral Squamous Cell Carcinoma
Masashi Kimura, Isao Kato, Kenichiro Ishibashi, et al.
Journal of Oral and Maxillofacial Surgery (2020) Vol. 79, Iss. 5, pp. 1168-1176
Closed Access | Times Cited: 5

Texture analysis of 18F-FDG PET images for the detection of cervical lymph node metastases in patients with oral squamous cell carcinoma
Masashi Kimura, Isao Kato, K. Ishibashi, et al.
Advances in Oral and Maxillofacial Surgery (2021) Vol. 5, pp. 100228-100228
Open Access | Times Cited: 4

An Enhanced Laryngeal Tissue Classification Model Using Deep Learning Techniques
Mithun Shivakoti, Sai Charan Medaramatla, K. Jeeveth, et al.
Lecture notes in networks and systems (2024), pp. 273-284
Closed Access

Correlation between fluorodeoxyglucose hotspots on preradiotherapy PET/CT and areas of cancer local relapse: Systematic review of literature
Ronan Abgral, David Bourhis, Jérémie Calais, et al.
Cancer/Radiothérapie (2020) Vol. 24, Iss. 5, pp. 444-452
Open Access | Times Cited: 3

Prognostic value of initial [18F]FDG PET/computed tomography volumetric and texture analysis-based parameters in patients with head and neck squamous cell carcinoma
Mai Amr Elahmadawy, Aya Ashraf, Hosna Moustafa, et al.
Nuclear Medicine Communications (2023) Vol. 44, Iss. 7, pp. 653-662
Closed Access | Times Cited: 1

Predicting MYCN amplification in paediatric neuroblastoma: development and validation of a 18F-FDG PET/CT-based radiomics signature
Luodan Qian, Shuxin Zhang, Siqi Li, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 1

The role of metabolic tumor parameters predicting cervical lymph node metastasis in patients with head and neck squamous cell carcinoma
Sibel Göksel, Ozlem C. Erdivanli, Ogün Bülbül, et al.
Journal of Cancer Research and Therapeutics (2022) Vol. 18, Iss. 4, pp. 1045-1051
Open Access | Times Cited: 1

Exploratory Analysis of Radiomics Features on a Head and Neck Cancer Public Dataset
Oier Echaniz, Carlos M. Chiesa‐Estomba, Manuel Graña
Lecture notes in computer science (2020), pp. 718-728
Closed Access

Imaging Biomarkers: Radiomics and the Use of Artificial Intelligence in Nuclear Oncology
Margarita Kirienko
Springer eBooks (2022), pp. 1-17
Closed Access

Imaging Biomarkers: Radiomics and the Use of Artificial Intelligence in Nuclear Oncology
Margarita Kirienko
Springer eBooks (2022), pp. 411-427
Closed Access

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