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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:

Radiomics Analysis Based on Ultrasound Images to Distinguish the Tumor Stage and Pathological Grade of Bladder Cancer
Ruizhi Gao, Rong Wen, Dong‐yue Wen, et al.
Journal of Ultrasound in Medicine (2021) Vol. 40, Iss. 12, pp. 2685-2697
Closed Access | Times Cited: 9

Showing 9 citing articles:

Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling
Yuanpeng Zhang, Xinyun Zhang, Yu‐Ting Cheng, et al.
Military Medical Research (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 87
Radiomics-guided radiation therapy: opportunities and challenges
Hamid Abdollahi, Erika Chin, Haley Clark, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 12, pp. 12TR02-12TR02
Open Access | Times Cited: 20
The accuracy and quality of image-based artificial intelligence for muscle-invasive bladder cancer prediction
Chunlei He, Hui Xu, Enyu Yuan, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Application of contrast-enhanced ultrasound in diagnosis and grading of bladder urothelial carcinoma
Huiping Zhang, Rongxi Liang, Xueying Lin, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Construction and prognostic value of enhanced CT image omics model for noninvasive prediction of HRG in bladder cancer based on logistic regression and support vector machine algorithm
Qing Li, Yang Luo, Dawei Liu, et al.
Frontiers in Oncology (2023) Vol. 12
Open Access | Times Cited: 6
Predicting Recurrence of Non-Muscle-Invasive Bladder Cancer: Current Techniques and Future Trends
Aya T. Shalata, Mohamed Shehata, Eric Van Bogaert, et al.
Cancers (2022) Vol. 14, Iss. 20, pp. 5019-5019
Open Access | Times Cited: 9
Integrating radiomics with the vesical imaging-reporting and data system to predict muscle invasion of bladder cancer
Wei Wang, Wei Li, Kexin Wang, et al.
Urologic Oncology Seminars and Original Investigations (2022) Vol. 41, Iss. 6, pp. 294.e1-294.e8
Closed Access | Times Cited: 9
Role of Multiparametric-MRI in Bladder Cancer
Laura Eusebi, Federica Masino, Rossella Gifuni, et al.
Current Radiology Reports (2023) Vol. 11, Iss. 5, pp. 69-80
Open Access | Times Cited: 5
The study of ultrasonography based on deep learning in breast cancer
Yun Peng, W. Tang, Xiaoyu Peng
Journal of Radiation Research and Applied Sciences (2023) Vol. 16, Iss. 4, pp. 100679-100679
Open Access | Times Cited: 3
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