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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:

Computed tomography radiomics for the prediction of thymic epithelial tumor histology, TNM stage and myasthenia gravis
Christian Blüthgen, Miriam Patella, André Euler, et al.
PLoS ONE (2021) Vol. 16, Iss. 12, pp. e0261401-e0261401
Open Access | Times Cited: 25

Showing 25 citing articles:

Artificial intelligence for multimodal data integration in oncology
Jana Lipková, Richard J. Chen, Bowen Chen, et al.
Cancer Cell (2022) Vol. 40, Iss. 10, pp. 1095-1110
Open Access | Times Cited: 319
Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancer
Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107714-107714
Closed Access | Times Cited: 45
Explanations of Machine Learning Models in Repeated Nested Cross-Validation: An Application in Age Prediction Using Brain Complexity Features
Riccardo Scheda, Stefano Diciotti
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6681-6681
Open Access | Times Cited: 34
Radiomics analysis of multiparametric MRI for preoperative prediction of microsatellite instability status in endometrial cancer: a dual-center study
Yaju Jia, Lina Hou, Jintao Zhao, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 5
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
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
AutoRadiomics: A Framework for Reproducible Radiomics Research
Piotr Woźnicki, Fabian Christopher Laqua, Thorsten Alexander Bley, et al.
Frontiers in Radiology (2022) Vol. 2
Open Access | Times Cited: 17
Machine learning approach for the development of a crucial tool in suicide prevention: The Suicide Crisis Inventory-2 (SCI-2) Short Form
Gabriele P. De Luca, Neelang Parghi, Rawad El Hayek, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0299048-e0299048
Open Access | Times Cited: 2
CT Reconstruction Kernels and the Effect of Pre- and Post-Processing on the Reproducibility of Handcrafted Radiomic Features
Turkey Refaee, Zohaib Salahuddin, Yousif Widaatalla, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 4, pp. 553-553
Open Access | Times Cited: 10
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
Impact of Preprocessing Parameters in Multimodality Imaging-Based Radiomic Studies: A Review
Valeria Trojani, Maria Chiara Bassi, Laura Verzellesi, et al.
(2024)
Open Access | Times Cited: 1
Impact of Preprocessing Parameters in Medical Imaging-Based Radiomic Studies: A Systematic Review
Valeria Trojani, Maria Chiara Bassi, Laura Verzellesi, et al.
Cancers (2024) Vol. 16, Iss. 15, pp. 2668-2668
Open Access | Times Cited: 1
Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends
Mohamed Umair Aleem, Jibran Ahmad Khan, Asser Younes, et al.
Current Oncology (2024) Vol. 31, Iss. 10, pp. 6232-6244
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
Survival Outcomes and Prognostic Factors of Thymic Epithelial Tumors a Single Center Experience
Hadeer Saber, Abd El Rasoul, Nawal Mohamed, et al.
The Egyptian Journal of Hospital Medicine (2024) Vol. 94, Iss. 1, pp. 97-107
Open Access
Modeling lesion transition dynamics to clinically characterize mpox patients in the Democratic Republic of the Congo
Takara Nishiyama, Fuminari Miura, Yong Dam Jeong, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
The Diagnostic Value of CT Radiomics in Small Anterior Mediastinal Nodules
兆丰 王
Advances in Clinical Medicine (2024) Vol. 14, Iss. 05, pp. 1132-1144
Closed Access
Multiparametric MRI-based radiomics analysis for prediction of lymph node metastasis and survival outcome in gastric cancer: A dual-center study
Ruirui Song, Wujie Chen, Junjie Zhang, et al.
Academic Radiology (2024)
Closed Access
MRI-based machine learning radiomics for prediction of HER2 expression status in breast invasive ductal carcinoma
Hong-Jian Luo, Jialiang Ren, Li Mei Guo, et al.
European Journal of Radiology Open (2024) Vol. 13, pp. 100592-100592
Open Access
Development and Validation of a CT-Radiomics Nomogram for the Diagnosis of Small Prevascular Mediastinal Nodules: Reducing Nontherapeutic Surgeries
Jiangshan Ai, Zhaofeng Wang, Shiwen Ai, et al.
Academic Radiology (2024)
Closed Access
Prediction of the Gleason Score of Prostate Cancer Patients Using 68Ga-PSMA-PET/CT Radiomic Models
Zahra Vosoughi, Farshad Emami, Habibeh Vosoughi, et al.
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 5, pp. 711-721
Closed Access
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
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
Radiomics-clinical nomogram for preoperative tumor-node-metastasis staging prediction in breast cancer patients using dynamic enhanced magnetic resonance imaging
Zhe Yang, Shu Wang, Yin Wei, et al.
Translational Cancer Research (2023)
Open Access
Quantitative imaging analysis
Turkey Abdullah Refaee
(2022)
Open Access
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