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:

Non-invasive prediction model of axillary lymph node status in patients with early-stage breast cancer: a feasibility study based on dynamic contrast-enhanced-MRI radiomics
Weiyue Chen, Guihan Lin, Chunli Kong, et al.
British Journal of Radiology (2023) Vol. 97, Iss. 1154, pp. 439-450
Open Access | Times Cited: 8

Showing 8 citing articles:

MRI radiomics and biological correlations for predicting axillary lymph node burden in early-stage breast cancer
Minping Hong, Sijia Fan, Zeyan Xu, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 5

Patch-Based Texture Feature Extraction Towards Improved Clinical Task Performance
Tao Lian, Chunyan Deng, Qianjin Feng
Bioengineering (2025) Vol. 12, Iss. 4, pp. 404-404
Open Access

Magnetic resonance imaging in the evaluation of axillary lymph nodes in patients with early-stage invasive breast cancer
Taís Coelho Batista, Marcela Caetano Vilela Lauar, Érica Elisângela Françolin Federicci, et al.
Radiologia Brasileira (2024) Vol. 57
Open Access | Times Cited: 2

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

Assessing Axillary Lymph Node Burden and Prognosis in cT1T2 Stage Breast Cancer Using Machine Learning Methods: A Retrospective Dual‐Institutional MRI Study
Jiayi Liao, Zeyan Xu, Yu Xie, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access | Times Cited: 1

MRI Radiomics and Biological Correlations for Predicting Axillary Lymph Node Burden in Early-Stage Breast Cancer
Minping Hong, Maosheng Xu, Sijia Fan, et al.
Research Square (Research Square) (2024)
Closed Access

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