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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:

CT texture analysis in evaluation of thymic tumors and thymic hyperplasia: correlation with the international thymic malignancy interest group (ITMIG) stage and WHO grade
Naveen Rajamohan, Ankur Goyal, Devasenathipathy Kandasamy, et al.
British Journal of Radiology (2021) Vol. 94, Iss. 1128
Open Access | Times Cited: 10

Showing 10 citing articles:

Intra- and Peritumoral CT-Based Radiomics for Assessing Pathologic T-Staging in Clear Cell Renal Cell Carcinoma: A Multicenter Study
Yuanhao Xia, Zehua Sun, Zhongyi Wang, et al.
Annals of Surgical Oncology (2025)
Closed Access | Times Cited: 1
Conventional and radiomic features to predict pathology in the preoperative assessment of anterior mediastinal masses
María Mayoral, Andrew Pagano, José de Arimateia Batista Araújo-Filho, et al.
Lung Cancer (2023) Vol. 178, pp. 206-212
Open Access | Times Cited: 11
Thoracic Diseases: Technique and Applications of Dual-Energy CT
Armando Perrella, Giulio Bagnacci, Nunzia Di Meglio, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2440-2440
Open Access | Times Cited: 7
Study of radiomics based on dual-energy CT for nuclear grading and T-staging in renal clear cell carcinoma
Ning Wang, Bing Xue, Yuhan Li, et al.
Medicine (2024) Vol. 103, Iss. 10, pp. e37288-e37288
Open Access | Times Cited: 2
Histogram analysis based on unenhanced CT for identifying thymoma and lymphoma among prevascular mediastinal incidentalomas
Ming Liu, Yang Zhang, Liheng Liu
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Computed tomography radiomic feature analysis of thymic epithelial tumors: Differentiation of thymic epithelial tumors from thymic cysts and prediction of histological subtypes
Wenya Zhao, Yoshiyuki Ozawa, Masaki Hara, et al.
Japanese Journal of Radiology (2023) Vol. 42, Iss. 4, pp. 367-373
Closed Access | Times Cited: 3
A contrast-enhanced CT radiomics-based model to identify candidates for deintensified chemoradiotherapy in locoregionally advanced nasopharyngeal carcinoma patients
Yinbing Lin, Zhining Yang, Jiechen Chen, et al.
European Radiology (2023) Vol. 34, Iss. 2, pp. 1302-1313
Closed Access | Times Cited: 2
Predicting the Risk of Thymic Tumors Using Texture Analysis of Contrast-Enhanced Chest Computed Tomography
Wei Guo, Jianfang Liu, Xiaohua Wang, et al.
Journal of Computer Assisted Tomography (2023) Vol. 47, Iss. 4, pp. 598-602
Open Access | Times Cited: 1
Development and validation of a contrast-enhanced CT-based radiomics nomogram for differentiating mass-like thymic hyperplasia and low-risk thymoma
Wentao Dong, Situ Xiong, Xiaolian Wang, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 16, pp. 14901-14910
Closed Access | Times Cited: 1
The predictive value of a computed tomography-based radiomics model for the surgical separability of thymic epithelial tumors from the superior vena cava and the left innominate vein
Zhiyang Li, Fuqiang Wang, Hanlu Zhang, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 9, pp. 5622-5640
Open Access
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