Open Access Helper

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:

Triple-attention interaction network for breast tumor classification based on multi-modality images
Xiao Yang, Xiaoming Xi, Kesong Wang, et al.
Pattern Recognition (2023) Vol. 139, pp. 109526-109526
Closed Access | Times Cited: 10

Showing 10 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: 11
Optimizing feature selection and remote sensing classification with an enhanced machine learning method
Ahmed A. Ewees, Mohammed Mujib Alshahrani, Abdullah Alharthi, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
MIC: Breast Cancer Multi-label Diagnostic Framework Based on Multi-modal Fusion Interaction
Ziyan Chen, Sanli Yi
Deleted Journal (2025)
Closed Access
Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey
L. Yan, Liangrui Pan, Yijun Peng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109972-109972
Closed Access
BCT-Net: semantic-guided breast cancer segmentation on BUS
Junchang Xin, Yaqi Yu, Qi Shen, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access
Empowering early detection: artificial intelligence as a tool for breast cancer diagnosis
Pratishtha Verma, Gaurav Tripathi, Roshan Singh
Elsevier eBooks (2025), pp. 121-145
Closed Access
Integration of ultrasound and mammogram for multimodal classification of breast cancer using hybrid residual neural network and machine learning
Kushangi Atrey, Bikesh Kumar Singh, Narendra Kuber Bodhey
Image and Vision Computing (2024) Vol. 145, pp. 104987-104987
Closed Access | Times Cited: 4
Decoupled representation for multi-view learning
Shiding Sun, Bo Wang, Yingjie Tian
Pattern Recognition (2024) Vol. 151, pp. 110377-110377
Closed Access | Times Cited: 2
Analog Spiking U-Net integrating CBAM&ViT for medical image segmentation
Yuqi Ma, Huamin Wang, Hangchi Shen, et al.
Neural Networks (2024) Vol. 181, pp. 106765-106765
Closed Access
Enhanced breast cancer diagnosis through integration of computer vision with fusion based joint transfer learning using multi modality medical images
S. Iniyan, M. Senthil Raja, R. Poonguzhali, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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