OpenAlex Citation Counts

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:

Deep learning radiomics for prediction of axillary lymph node metastasis in patients with clinical stage T1–2 breast cancer
Wei Wei, Qiang Ma, Huijun Feng, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 8, pp. 4995-5011
Open Access | Times Cited: 5

Showing 5 citing articles:

Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis
Xinyang Han, Jingguo Qu, M Chui, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access

Breast Cancer Prognosis Using Machine Learning and Artificial Intelligence: A Review of Predictive Models in Breast Cancer Metastasis
João Rocha Rocha-Gomes, Inês Fortuna
Smart innovation, systems and technologies (2025), pp. 103-113
Closed Access

Breast cancer diagnosis using radiomics-guided DL/ML model-systematic review and meta-analysis
Nazmul Ahasan Maruf, Abdullah Basuhail
Frontiers in Computer Science (2025) Vol. 7
Open Access

The value of different machine learning radiomics based on DCE-MRI in predicting axillary lymph node status of breast cancer
Han Wang, Li Gong
Research Square (Research Square) (2024)
Open Access

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Requested Article:

Showing 5 citing articles:

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