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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:

A magnification-independent method for breast cancer classification using transfer learning
Vandana Kumari, Rajib Ghosh
Healthcare Analytics (2023) Vol. 3, pp. 100207-100207
Open Access | Times Cited: 17

Showing 17 citing articles:

FCCS-Net: Breast cancer classification using Multi-Level fully Convolutional-Channel and spatial attention-based transfer learning approach
Ritesh Maurya, Nageshwar Nath Pandey, Malay Kishore Dutta, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106258-106258
Closed Access | Times Cited: 12
Fine tuning deep learning models for breast tumor classification
A. Heikal, Amir El-Ghamry, Samir Elmougy, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Federated and transfer learning for cancer detection based on image analysis
Amine Bechar, Rafik Medjoudj, Youssef Elmir, et al.
Neural Computing and Applications (2025)
Open Access
Breast cancer image analysis utilizing feature fusion-based hybrid classification network influenced by adaptive u-net with generative adversarial segmentation network
Rathlavath Kalavathi, M. Swamy Das
Intelligent Decision Technologies (2025)
Closed Access
Synergistic transfer learning and adversarial networks for breast cancer diagnosis: benign vs. invasive classification
Wejdan Deebani, Lubna Aziz, Arshad Aziz, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Improved Breast Cancer Classification through Combining Transfer Learning and Attention Mechanism
Asadulla Ashurov, Samia Allaoua Chelloug, Alexey Tselykh, et al.
Life (2023) Vol. 13, Iss. 9, pp. 1945-1945
Open Access | Times Cited: 15
Transfer Learning for Cancer Detection based on Images Analysis
Amine Bechar, Youssef Elmir, Rafik Medjoudj, et al.
Procedia Computer Science (2024) Vol. 239, pp. 1903-1910
Open Access | Times Cited: 4
Effectiveness Analysis of Deep Learning Methods for Breast Cancer Diagnosis Based on Histopathology Images
Merve Korkmaz, Kaplan Kaplan
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1005-1005
Open Access
Forecasting blood glucose level using convolutional recurrent connection
Sunny Arora, Shailender Kumar, Pardeep Kumar
Sadhana (2025) Vol. 50, Iss. 1
Closed Access
EMViT‐BCC: Enhanced Mobile Vision Transformer for Breast Cancer Classification
Jacinta Potsangbam, Salam Shuleenda Devi
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 2
Closed Access
Improving breast cancer prediction via progressive ensemble and image enhancement
Huong Hoang Luong, Minh Dat Vo, Hong Phuc Phan, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection
Amine Bechar, Youssef Elmir, Rafik Medjoudj, et al.
(2023), pp. 218-223
Open Access | Times Cited: 5
An enhanced multi-scale deep convolutional orchard capsule neural network for multi-modal breast cancer detection
Sangeeta Parshionikar, Debnath Bhattacharyya
Healthcare Analytics (2023) Vol. 5, pp. 100298-100298
Open Access | Times Cited: 5
Generative adversarial network: a statistical-based deep learning paradigm to improve detecting breast cancer in thermograms
Seyed Vahab Shojaedini, Mehdi Abedini, Mahsa Monajemi
Medical & Biological Engineering & Computing (2023) Vol. 62, Iss. 4, pp. 1077-1087
Closed Access | Times Cited: 2
A new method for promoting the detection of breast cancer in thermograms: applying deep autoencoders for eliminating redundancies in parallel with preserving independent components
Seyed Vahab Shojaedini, Bahram Bahramzadeh
Journal of Ambient Intelligence and Humanized Computing (2024) Vol. 15, Iss. 12, pp. 4085-4099
Closed Access
Optimized early fusion of handcrafted and deep learning descriptors for voice pathology detection and classification
Roohum Jegan, R. Jayagowri
Healthcare Analytics (2024), pp. 100369-100369
Open Access
A Hybrid Model to Predict the Breast Cancer using Stacking and Bagging Model
S. Yuvalatha, S Nithyapriya, S. Prabhavathy, et al.
(2023), pp. 1-6
Closed Access
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