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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:

Spatial Attention Mechanism and Cascade Feature Extraction in a U-Net Model for Enhancing Breast Tumor Segmentation
Payam Zarbakhsh
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8758-8758
Open Access | Times Cited: 13

Showing 13 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: 2
A Comprehensive Comparative Study of Breast Cancer Detection Using Machine Learning Techniques to Improve Diagnosis
Gopal Behera, Basanta Kumar Swain, Jitendra Parmar, et al.
Communications in computer and information science (2025), pp. 151-164
Closed Access
EfficientUNetViT: Efficient Breast Tumor Segmentation utilizing U-Net Architecture and Pretrained Vision Transformer
Shokofeh Anari, Gabriel Gomes de Oliveira, Ramin Ranjbarzadeh, et al.
(2024)
Open Access | Times Cited: 4
AWDS-net: automatic whole-field segmentation network for characterising diverse breast masses
Jiajia Jiao, Yingzhao Chen, Zhiyu Li, et al.
Connection Science (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 2
Multi‐focal channel attention for medical image segmentation
Hamdan Al Jowair, Mansour Alsulaiman, Ghulam Muhammad
Expert Systems (2024)
Closed Access | Times Cited: 1
EfficientUNetViT: Efficient Breast Tumor Segmentation Utilizing UNet Architecture and Pretrained Vision Transformer
Shokofeh Anari, Gabriel Gomes de Oliveira, Ramin Ranjbarzadeh, et al.
Bioengineering (2024) Vol. 11, Iss. 9, pp. 945-945
Open Access | Times Cited: 1
GCAPSeg-Net: An efficient global context-aware network for colorectal polyp segmentation
Debaraj Rana, Shreerudra Pratik, Bunil Kumar Balabantaray, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106978-106978
Closed Access | Times Cited: 1
Advancing Breast Cancer Diagnosis: Attention-Enhanced U-Net for Breast Cancer Segmentation
Md. Nahid Hasan, Adit Ishraq, Ashraful Alam Emon, et al.
Studies in big data (2024), pp. 207-226
Closed Access
Research on Digital Book Resource Recommendation Algorithm Based on Knowledge Graph
Yan Sun
Procedia Computer Science (2024) Vol. 247, pp. 953-962
Open Access
COMPARATIVE ANALYSIS OF MODIFICATIONS OF U-NET NEURAL NETWORK ARCHITECTURES IN THE PROBLEM OF MEDICAL IMAGE SEGMENTATION
Anna Dostovalova, Andrey Gorshenin, Yu.V. Starichkova, et al.
Digital Diagnostics (2024)
Open Access
Attention-guided deep learning for effective customer loyalty management and multi-criteria decision analysis
Marjan Kia
Iran Journal of Computer Science (2024)
Closed Access
Innovative fusion of VGG16, MobileNet, EfficientNet, AlexNet, and ResNet50 for MRI-based brain tumor identification
Marjan Kia, Soroush Sadeghi, Homayoun Safarpour, et al.
Iran Journal of Computer Science (2024)
Closed Access
Evaluating Machine Learning Models for Prostate Cancer Classification Using Gene Expression Profiles from DNA Microarrays
Sara Haddou Bouazza, Jihad Haddou Bouazza
ITM Web of Conferences (2024) Vol. 69, pp. 02004-02004
Open Access
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