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:

Recent advancements of deep learning in detecting breast cancer: a survey
Anjali Gautam
Multimedia Systems (2022) Vol. 29, Iss. 3, pp. 917-943
Closed Access | Times Cited: 4

Showing 4 citing articles:

Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
Closed Access

Bio-Inspired ensemble feature selection and deep auto-encoder approach for rapid diagnosis of breast cancer
V. Praveena, L. R. Sujithra, S. Karthik, et al.
Multimedia Systems (2023) Vol. 29, Iss. 6, pp. 3403-3419
Closed Access | Times Cited: 1

An Approach to Classifying Breast Density Level Using Deep Learning-Based Segmentation Model on Full-Field Digital Mammograms
Muhammet Üsame Özıç, Ayse Sidenur Yilmaz, Halil İbrahim Sandiraz, et al.
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (2023), pp. 1-6
Closed Access | Times Cited: 1

Analysis of Deep Learning Models to Detect Breast Cancer from Histopathology Images
Anjali Gautam, Satish Kumar Singh
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) (2023) Vol. 63, pp. 438-443
Closed Access

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Requested Article:

Showing 4 citing articles:

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