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 of machine-learning to screen high-risk individuals with kidney stones
Bo Zhu, Yuxi Nie, Sijie Zheng, et al.
Urolithiasis (2024) Vol. 52, Iss. 1
Closed Access | Times Cited: 4
Bo Zhu, Yuxi Nie, Sijie Zheng, et al.
Urolithiasis (2024) Vol. 52, Iss. 1
Closed Access | Times Cited: 4
Showing 4 citing articles:
Non-Invasive Kidney Stone Prediction using Machine Learning: An Extensive Review
Shivani Verma, Pawan Kumar Singh, Gagandeep Kaur, et al.
Biomedical & Pharmacology Journal (2025) Vol. 18, Iss. December Spl Edition, pp. 45-58
Open Access | Times Cited: 1
Shivani Verma, Pawan Kumar Singh, Gagandeep Kaur, et al.
Biomedical & Pharmacology Journal (2025) Vol. 18, Iss. December Spl Edition, pp. 45-58
Open Access | Times Cited: 1
Application of radiomics in acute and severe non-neoplastic diseases: A literature review
Fang Yu, Qiannan Zhang, Junwei Yan, et al.
Journal of Critical Care (2025) Vol. 87, pp. 155027-155027
Open Access
Fang Yu, Qiannan Zhang, Junwei Yan, et al.
Journal of Critical Care (2025) Vol. 87, pp. 155027-155027
Open Access
Comment on“CT-based radiomics of machine-learning to screen high-risk individuals with kidney stones”
Shuangying Zhang, Hao Xu, Yuxuan Song
Urolithiasis (2025) Vol. 53, Iss. 1
Closed Access
Shuangying Zhang, Hao Xu, Yuxuan Song
Urolithiasis (2025) Vol. 53, Iss. 1
Closed Access
Machine learning for medical image classification
Gulam Mohammed Husain, Jonathan Mayer, Molly Bekbolatova, et al.
Academia Medicine (2024) Vol. 1, Iss. 4
Closed Access | Times Cited: 3
Gulam Mohammed Husain, Jonathan Mayer, Molly Bekbolatova, et al.
Academia Medicine (2024) Vol. 1, Iss. 4
Closed Access | Times Cited: 3
Predicting symptomatic kidney stones using machine learning algorithms: insights from the Fasa adults cohort study (FACS)
Fatemeh Mahmoodi, Aref Andishgar, Eisa Mahmoudi, et al.
BMC Research Notes (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
Fatemeh Mahmoodi, Aref Andishgar, Eisa Mahmoudi, et al.
BMC Research Notes (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
