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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 features analysis for predicting the risk of anterior mediastinal lesions
He Sui, Lin Liu, Xuejia Li, et al.
Journal of Thoracic Disease (2019) Vol. 11, Iss. 5, pp. 1809-1818
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Invasive ductal breast cancer: preoperative predict Ki-67 index based on radiomics of ADC maps
Yu Zhang, Yifeng Zhu, Kai Zhang, et al.
La radiologia medica (2019) Vol. 125, Iss. 2, pp. 109-116
Closed Access | Times Cited: 77
Comparison of 2D and 3D radiomics features with conventional features based on contrast-enhanced CT images for preoperative prediction the risk of thymic epithelial tumors
Yu-Hang Yuan, Hui Zhang, Weiling Xu, et al.
Radiology and Oncology (2025) Vol. 59, Iss. 1, pp. 69-78
Open Access
Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging
Xue Sha, Guanzhong Gong, Qingtao Qiu, et al.
BMC Medical Imaging (2020) Vol. 20, Iss. 1
Open Access | Times Cited: 26
Clinical radiomics-based machine learning versus three-dimension convolutional neural network analysis for differentiation of thymic epithelial tumors from other prevascular mediastinal tumors on chest computed tomography scan
Chao‐Chun Chang, En‐Kuei Tang, Yufeng Wei, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 8
3D Reconstruction for Super-Resolution CT Images in the Internet of Health Things Using Deep Learning
Jing Zhang, Ling-Rui Gong, Keping Yu, et al.
IEEE Access (2020) Vol. 8, pp. 121513-121525
Open Access | Times Cited: 20
CT-based radiomics analysis for differentiation between thymoma and thymic carcinoma
Ryosuke Ohira, Masahiro Yanagawa, Yuki Suzuki, et al.
Journal of Thoracic Disease (2022) Vol. 14, Iss. 5, pp. 1342-1352
Open Access | Times Cited: 11
Radiomics models based on CT at different phases predicting lymph node metastasis of esophageal squamous cell carcinoma (GASTO-1089)
Guobo Peng, Yizhou Zhan, Yanxuan Wu, 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
Hepatic Alveolar Echinococcosis: Predictive Biological Activity Based on Radiomics of MRI
Ren Bo, Jian Wang, Zhoulin Miao, et al.
BioMed Research International (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 13
Can computed tomography-based radiomics potentially discriminate between anterior mediastinal cysts and type B1 and B2 thymomas?
Lulu Liu, Fangxiao Lu, Peipei Pang, et al.
BioMedical Engineering OnLine (2020) Vol. 19, Iss. 1
Open Access | Times Cited: 13
Prediction Models for Prognosis of Femoral Neck–Fracture Patients 6 Months after Total Hip Arthroplasty
Xiaofeng Zheng, Cong Xiao, Zhuocheng Xie, et al.
International Journal of General Medicine (2022) Vol. Volume 15, pp. 4339-4356
Open Access | Times Cited: 8
Differentiating Peripherally Located Pulmonary Noncalcified Hamartoma From Carcinoid Using CT Radiomics Approaches
Xiaohuang Yang, Congrui Li, Jing Hou, et al.
Journal of Computer Assisted Tomography (2023) Vol. 47, Iss. 3, pp. 402-411
Closed Access | Times Cited: 4
CT-based radiomics nomogram for differentiation of adrenal hyperplasia from lipid-poor adenoma: an exploratory study
Hongtao Yuan, Bing Kang, Kui Sun, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 3
RadCloud—An Artificial Intelligence-Based Research Platform Integrating Machine Learning-Based Radiomics, Deep Learning, and Data Management
Yayuan Geng, Zhang Fengyan, Ran Zhang, et al.
Journal of Artificial Intelligence for Medical Sciences (2021) Vol. 2, Iss. 1-2, pp. 97-102
Open Access | Times Cited: 6
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
Anterior Mediastinal Lesion Segmentation Based on Two-Stage 3D ResUNet With Attention Gates and Lung Segmentation
Su Huang, Xiaowei Han, Jingfan Fan, et al.
Frontiers in Oncology (2021) Vol. 10
Open Access | Times Cited: 4
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
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
Diagnostic performance of radiomics model for preoperative risk categorization in thymic epithelial tumors: a systematic review and meta-analysis
Xuefang Lu, T. Zhu
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 1
Can Computed Tomography-Based Radiomics Potentially Discriminate Between Anterior Mediastinal Cysts and Type B1 and B2 Thymomas
Lulu Liu, Fangxiao Lu, Peipei Pang, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 1
Anterior mediastinal nodular lesion segmentation from chest computed tomography imaging using UNet based neural network with attention mechanisms
Yi Wang, Won Gi Jeong, Hao Zhang, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 45969-45987
Closed Access
Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging
Xue Sha, Guan Zhong Gong, Qing Tao Qiu, et al.
Research Square (Research Square) (2019)
Open Access
Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging
Xue Sha, Guan Zhong Gong, Qing Tao Qiu, et al.
Research Square (Research Square) (2019)
Open Access
Can Computed Tomography-Based Radiomics Potentially Discriminate Between Anterior Mediastinal Cysts and type B1 and B2 thymomas?
Lulu Liu, Fangxiao Lu, Peipei Pang, et al.
Research Square (Research Square) (2020)
Open Access
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