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:

Performance Analysis of Breast Cancer Classification from Mammogram Images Using Vision Transformer
Naiwrita Borah, Pooja Varma, Ashis Datta, et al.
2020 IEEE Calcutta Conference (CALCON) (2022)
Closed Access | Times Cited: 8

Showing 8 citing articles:

Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models
Shokofeh Anari, Soroush Sadeghi, Ghazaal Sheikhi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 9

A Modified LeNet CNN for Breast Cancer Diagnosis in Ultrasound Images
Sathiyabhama Balasubramaniam, Yuvarajan Velmurugan, Dhayanithi Jaganathan, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2746-2746
Open Access | Times Cited: 38

Vision transformer promotes cancer diagnosis: A comprehensive review
Xiaoyan Jiang, Shuihua Wang‎, Yudong Zhang
Expert Systems with Applications (2024) Vol. 252, pp. 124113-124113
Closed Access | Times Cited: 7

An algorithm for cardiac disease detection based on the magnetic resonance imaging
Heng Li, Qingni Yuan, Yi Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Hybrid Deep Learning and Active Contour Approach for Enhanced Breast Lesion Segmentation and Classification in Mammograms
Abdala Nour, Boubakeur Boufama
Intelligence-Based Medicine (2025) Vol. 11, pp. 100224-100224
Open Access

Enhanced breast cancer diagnosis using modified InceptionNet-V3: a deep learning approach for ultrasound image classification
Samia Allaoua Chelloug, Abduljabbar S. Ba Mahel, Rana Alnashwan, et al.
Frontiers in Physiology (2025) Vol. 16
Open Access

Ensemble approach of deep learning models for binary and multiclass classification of histopathological images for breast cancer
Madhumita Pal, Ganapati Panda, Ranjan K. Mohapatra, et al.
Pathology - Research and Practice (2024) Vol. 263, pp. 155644-155644
Closed Access | Times Cited: 2

A Multi-Modal and Multi-View Fusion Network for BI-RADS Five-Classification of Breast Tumors
Huiru Ming, Lei Yang, Ming‐Hui Chen, et al.
(2024), pp. 1-5
Closed Access

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