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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-Based Radiomics Signatures for Predicting the Risk Categorization of Thymic Epithelial Tumors
Jin Liu, Ping Yin, Sicong Wang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 22

Showing 22 citing articles:

Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective study
Xiu-Long Feng, Shengzhong Wang, Hao-han Chen, et al.
Lung Cancer (2022) Vol. 166, pp. 150-160
Open Access | Times Cited: 19
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
Deep learning for risk stratification of thymoma pathological subtypes based on preoperative CT images
Wei Liu, Wei Wang, Ruihua Guo, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Computed tomography radiomics-based combined model for predicting thymoma risk subgroups: a multicenter retrospective study
Yifei Liu, Chao Luo, Yongshun Wu, et al.
Academic Radiology (2025)
Closed Access
Using optimized CT type to predict histological classifications of thymic epithelial tumors: a radiomics integrated analysis
Zhengping Zhang, K. Mi, Zhaojun Wang, et al.
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access
Development and Validation of Multi-Omics Thymoma Risk Classification Model Based on Transfer Learning
Wei Liu, Wei Wang, Hanyi Zhang, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 5, pp. 2015-2024
Open Access | Times Cited: 9
Machine learning-based radiomic computed tomography phenotyping of thymic epithelial tumors: Predicting pathological and survival outcomes
Dong Tian, Hao‐Ji Yan, Haruhiko Shiiya, et al.
Journal of Thoracic and Cardiovascular Surgery (2022) Vol. 165, Iss. 2, pp. 502-516.e9
Open Access | Times Cited: 11
Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization
Wentao Dong, Situ Xiong, Pinggui Lei, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 11
Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumors
Chunhai Yu, Ting Li, Xiaotang Yang, et al.
BMC Medical Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 10
Machine-learning classifiers based on non-enhanced computed tomography radiomics to differentiate anterior mediastinal cysts from thymomas and low-risk from high-risk thymomas: A multi-center study
Lan Shang, Fang Wang, Yan Gao, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 9
Deep learning-based radiomic nomogram to predict risk categorization of thymic epithelial tumors: A multicenter study
Hao Zhou, Harrison X. Bai, Zhicheng Jiao, et al.
European Journal of Radiology (2023) Vol. 168, pp. 111136-111136
Closed Access | Times Cited: 4
Multimodal modeling with low-dose CT and clinical information for diagnostic artificial intelligence on mediastinal tumors: a preliminary study
Daisuke Yamada, F. Kojima, Yujiro Otsuka, et al.
BMJ Open Respiratory Research (2024) Vol. 11, Iss. 1, pp. e002249-e002249
Open Access | Times Cited: 1
Domain base dynamic convolution and distance map guidance for anterior mediastinal lesion segmentation
Su Huang, Tianyu Fu, Xiaowei Han, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111881-111881
Closed Access | Times Cited: 1
Tumor habitat and peritumoral region evolution–based imaging features to assess risk categorization of thymomas
Wei Liu, Weili Wang, Min Guo, et al.
Clinical Radiology (2024) Vol. 79, Iss. 9, pp. e1117-e1125
Closed Access | Times Cited: 1
Risk stratification of thymic epithelial tumors based on peritumor CT radiomics and semantic features
Zhang Lin, Zhihan Xu, Yan Feng, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
CT-Based Radiomics Nomogram for Differentiation of Anterior Mediastinal Thymic Cyst From Thymic Epithelial Tumor
Chengzhou Zhang, Qinglin Yang, Fan Lin, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 5
Development and Validation of a CT-Based Radiomics Nomogram in Patients With Anterior Mediastinal Mass: Individualized Options for Preoperative Patients
Zhou Zhou, Yanjuan Qu, Yurong Zhou, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 3
Thoracic Imaging in China
Fan Li, Wenjie Yang, Wenting Tu, et al.
Journal of Thoracic Imaging (2022) Vol. 37, Iss. 6, pp. 366-373
Open Access | Times Cited: 3
Lobulated tumor contour as a predictor of preoperative tumor invasion of the lung or pericardium in thymoma patients
Kazuhisa Tanaka, Hidemi Suzuki, Terunaga Inage, et al.
Surgery Today (2023) Vol. 54, Iss. 2, pp. 162-167
Closed 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
Computed Tomography-Based Radiomics for Differentiation of Thymic Epithelial Tumors and Lymphomas in Anterior Mediastinum
Wenzhang He, Chunchao Xia, Xiaoyi Chen, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 2
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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