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:
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
Lan Shang, Fang Wang, Yan Gao, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 9
Showing 9 citing articles:
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
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
Yifei Liu, Chao Luo, Yongshun Wu, et al.
Academic Radiology (2025)
Closed Access
Radiomics in thymic epithelial tumors: a scoping review of current status and advances
Xiaolian Wang, Pei Huang, Z Wang, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Xiaolian Wang, Pei Huang, Z Wang, et al.
BMC Cancer (2025) Vol. 25, 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
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
Contrast-enhanced CT-based radiomics differentiate anterior mediastinum lymphoma from thymoma without myasthenia gravis and calcification
Xiangjin Huang, Xiaoyang Wang, Ying Liu, et al.
Clinical Radiology (2024) Vol. 79, Iss. 4, pp. e500-e510
Closed Access | Times Cited: 2
Xiangjin Huang, Xiaoyang Wang, Ying Liu, et al.
Clinical Radiology (2024) Vol. 79, Iss. 4, pp. e500-e510
Closed Access | Times Cited: 2
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
Wei Liu, Weili Wang, Min Guo, et al.
Clinical Radiology (2024) Vol. 79, Iss. 9, pp. e1117-e1125
Closed Access | Times Cited: 1
Therapeutic Decision Making in Prevascular Mediastinal Tumors Using CT Radiomics and Clinical Features: Upfront Surgery or Pretreatment Needle Biopsy?
Chao‐Chun Chang, Chia-Ying Lin, Yi‐Sheng Liu, et al.
Cancers (2024) Vol. 16, Iss. 4, pp. 773-773
Open Access
Chao‐Chun Chang, Chia-Ying Lin, Yi‐Sheng Liu, et al.
Cancers (2024) Vol. 16, Iss. 4, pp. 773-773
Open Access
Machine learning models from computed tomography to diagnose thymic epithelial tumors requiring combined resection
Yuki Onozato, Hidemi Suzuki, Hiroki Matsumoto, et al.
Journal of Thoracic Disease (2024) Vol. 16, Iss. 8, pp. 4935-4946
Open Access
Yuki Onozato, Hidemi Suzuki, Hiroki Matsumoto, et al.
Journal of Thoracic Disease (2024) Vol. 16, Iss. 8, pp. 4935-4946
Open Access
Unveiling Thymoma Typing Through Hyperspectral Imaging and Deep Learning
Qize Lv, Ke Liang, Chongxuan Tian, et al.
Journal of Biophotonics (2024) Vol. 17, Iss. 11
Open Access
Qize Lv, Ke Liang, Chongxuan Tian, et al.
Journal of Biophotonics (2024) Vol. 17, Iss. 11
Open Access
