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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:

Memory-efficient transformer network with feature fusion for breast tumor segmentation and classification task
Ahmed Iqbal, Muhammad Sharif
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107292-107292
Closed Access | Times Cited: 11

Showing 11 citing articles:

Attention-Based Ensemble Network for Effective Breast Cancer Classification over Benchmarks
Su Myat Thwin, Sharaf J. Malebary, Anas W. Abulfaraj, et al.
Technologies (2024) Vol. 12, Iss. 2, pp. 16-16
Open Access | Times Cited: 7
Spatio-temporal collaborative multiple-stream transformer network for liver lesion classification on multiple-sequence magnetic resonance imaging
Shuangping Huang, Z. R. Hong, Bianzhe Wu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109933-109933
Closed Access
A systematic review of lightweight transformer models for medical image segmentation
Iis Setiawan Mangkunegara, Martyarini Budi Setyawati, Purwono Purwono, et al.
BIO Web of Conferences (2025) Vol. 152, pp. 01036-01036
Open Access
An improved framework for breast ultrasound image segmentation with multiple branches depth perception and layer compression residual module
Ke Cui, Qichuan Tian, Haoji Wang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110265-110265
Closed Access
NMTNet: A Multi-task Deep Learning Network for Joint Segmentation and Classification of Breast Tumors
Xuelian Yang, Yuanjun Wang, Li Sui
Deleted Journal (2025)
Closed Access
SAM-MedUS: a foundational model for universal ultrasound image segmentation
Feng Tian, Jintao Zhai, Jinru Gong, et al.
Journal of Medical Imaging (2025) Vol. 12, Iss. 02
Closed Access
BMSNet: Brain-inspired mixed ultrasound image segmentation network in cancer diagnosis
Chukwuemeka Clinton Atabansi, Jing Nie, Hui Li, et al.
Journal of King Saud University - Computer and Information Sciences (2025) Vol. 37, Iss. 3
Open Access
A Coarse-Fine Collaborative Learning Model for Three Vessel Segmentation in Fetal Cardiac Ultrasound Images
Shan Ling, Laifa Yan, R. Mao, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 7, pp. 4036-4047
Closed Access | Times Cited: 1
Involution fused convolution for classifying eye-tracking patterns of children with Autism Spectrum Disorder
Md. Farhadul Islam, Meem Arafat Manab, Joyanta Jyoti Mondal, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109475-109475
Closed Access | Times Cited: 1
A prior segmentation knowledge enhanced deep learning system for the classification of tumors in ultrasound image
Tao Jiang, Jun Guo, Wenyu Xing, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 142, pp. 109926-109926
Closed Access | Times Cited: 1
A multi-scale, multi-task fusion UNet model for accurate breast tumor segmentation
Shuo Dai, Xueyan Liu, Wei Wei, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 258, pp. 108484-108484
Closed Access
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