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:
Clinical study on the prediction of ALN metastasis based on intratumoral and peritumoral DCE-MRI radiomics and clinico-radiological characteristics in breast cancer
Yunxia Wang, Yiyan Shang, Yaxin Guo, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 4
Yunxia Wang, Yiyan Shang, Yaxin Guo, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 4
Showing 4 citing articles:
An unsupervised learning model based on CT radiomics features accurately predicts axillary lymph node metastasis in breast cancer patients—diagnostic study
Limeng Qu, Xilong Mei, Zixi Yi, et al.
International Journal of Surgery (2024) Vol. 110, Iss. 9, pp. 5363-5373
Open Access | Times Cited: 3
Limeng Qu, Xilong Mei, Zixi Yi, et al.
International Journal of Surgery (2024) Vol. 110, Iss. 9, pp. 5363-5373
Open Access | Times Cited: 3
Diagnostic performance of DCE-MRI radiomics in predicting axillary lymph node metastasis in breast cancer patients: A meta-analysis
Fei Dong, Jie Li, Junbo Wang, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0314653-e0314653
Open Access | Times Cited: 2
Fei Dong, Jie Li, Junbo Wang, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0314653-e0314653
Open Access | Times Cited: 2
An XGBoost Machine Learning Based Model for Predicting Ki-67 Value ≥ 15% in T2NXM0 Stage Primary Breast Cancer Receiving Neoadjuvant Chemotherapy Using Clinical Data and Delta-Radiomic Features on Ultrasound Images and Overall Survival Analysis: A 5-Year Postoperative Follow-Up Study
Yang Lu, Fei Yang, Yichao Tao, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access | Times Cited: 1
Yang Lu, Fei Yang, Yichao Tao, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access | Times Cited: 1
Diagnosing breast cancer subtypes using MRI radiomics and machine learning: A systematic review
Zhenyue Wang, Shuanzeng Wei
Journal of Radiation Research and Applied Sciences (2024) Vol. 18, Iss. 1, pp. 101260-101260
Closed Access
Zhenyue Wang, Shuanzeng Wei
Journal of Radiation Research and Applied Sciences (2024) Vol. 18, Iss. 1, pp. 101260-101260
Closed Access
