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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:

Efficient Breast Cancer Classification Network with Dual Squeeze and Excitation in Histopathological Images
Md. Mostafa Kamal Sarker, Farhan Akram, Mohammad Alsharid, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 103-103
Open Access | Times Cited: 19

Showing 19 citing articles:

Smart brain tumor diagnosis system utilizing deep convolutional neural networks
Yıldıray Anagün
Multimedia Tools and Applications (2023) Vol. 82, Iss. 28, pp. 44527-44553
Open Access | Times Cited: 34
Forward attention-based deep network for classification of breast histopathology image
Sudipta Roy, Pankaj Jain, Kalyan Tadepalli, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 40, pp. 88039-88068
Closed Access | Times Cited: 8
Fusing global context with multiscale context for enhanced breast cancer classification
Niful Islam, Khan Md. Hasib, M. F. Mridha, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
AI‐Driven Microscopy: Cutting‐Edge Approach for Breast Tissue Prognosis Using Microscopic Images
Tariq Mahmood, Tanzila Saba, Shaha Al‐Otaibi, et al.
Microscopy Research and Technique (2025)
Closed Access
Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology
Olga Fourkioti, Matt De Vries, Reed Naidoo, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
Data-driven cultural background fusion for environmental art image classification: Technical support of the dual Kernel squeeze and excitation network
Chenchen Liu, Haoyue Guo
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0313946-e0313946
Open Access
The current landscape of artificial intelligence in computational histopathology for cancer diagnosis
Aaditya Tiwari, Aruni Ghose, Maryam Hasanova, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification
Niful Islam, Md. Mehedi Hasan Jony, Emam Hasan, et al.
(2023), pp. 435-440
Open Access | Times Cited: 6
Survey of Recent Deep Neural Networks with Strong Annotated Supervision in Histopathology
Dominika Petríková, Ivan Cimrák
Computation (2023) Vol. 11, Iss. 4, pp. 81-81
Open Access | Times Cited: 5
Enhanced dual contrast representation learning with cell separation and merging for breast cancer diagnosis
Yang Liu, Yiqi Zhu, Zhehao Gu, et al.
Computer Vision and Image Understanding (2024) Vol. 247, pp. 104065-104065
Closed Access | Times Cited: 1
ST-Double-Net: A Two-Stage Breast Tumor Classification Model Based on Swin Transformer and Weakly Supervised Target Localization
Shengnan Hao, Yihan Jia, Jianuo Liu, et al.
IEEE Access (2024) Vol. 12, pp. 117921-117933
Open Access | Times Cited: 1
Enhancing Breast Cancer Diagnosis with Channel-Wise Attention Mechanisms in Deep Learning
Muhammad Mumtaz Ali, Faiqa Maqsood, Shiqi Liu, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 3, pp. 2699-2714
Open Access | Times Cited: 3
Computer-aided diagnosis using white shark optimizer with attention-based deep learning for breast cancer classification
R. K. Chandana Mani, J Kamalakannan
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 2, pp. 2641-2655
Closed Access | Times Cited: 2
Determining the Optimal Number of GAT and GCN Layers for Node Classification in Graph Neural Networks
Humaira Noor, Niful Islam, Md. Saddam Hossain Mukta, et al.
(2023), pp. 111-116
Open Access | Times Cited: 1
Enhancing Breast Cancer Classification in Mammography Images Using Multi-View Deep Convolutional Neural Networks
Swathi Baswaraju
(2023), pp. 1572-1577
Closed Access | Times Cited: 1
Advanced feature learning and classification of microscopic breast abnormalities using a robust deep transfer learning technique
Amjad Rehman, Tariq Mahmood, Faten S. Alamri, et al.
Microscopy Research and Technique (2024) Vol. 87, Iss. 8, pp. 1862-1888
Closed Access
MIPART: A Partial Decision Tree-Based Method for Multiple-Instance Classification
Kadriye Filiz Balbal
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11696-11696
Open Access
A Hybrid Approach for Medical Image Classification using Support Vector Machines and Artificial Neural Networks
N. Uma
(2023), pp. 1-5
Closed Access
Lightweight Histological Tumor Classification Using a Joint Sparsity-Quantization Aware Training Framework
Dina Aboutahoun, Rami Zewail, Keiji Kimura, et al.
IEEE Access (2023) Vol. 11, pp. 119342-119351
Open Access
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