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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.

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Showing 13 citing articles:

Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform
Maha Sharkas, Omneya Attallah
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Vision transformer based convolutional neural network for breast cancer histopathological images classification
Mouhamed Laid Abimouloud, Khaled Bensid, Mohamed Elleuch, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 39, pp. 86833-86868
Closed Access | Times Cited: 6
Advancing breast cancer diagnosis: token vision transformers for faster and accurate classification of histopathology images
Mouhamed Laid Abimouloud, Khaled Bensid, Mohamed Elleuch, et al.
Visual Computing for Industry Biomedicine and Art (2025) Vol. 8, Iss. 1
Open Access
Breast cancer diagnosis with MFF-HistoNet: a multi-modal feature fusion network integrating CNNs and quantum tensor networks
Tariq Mahmood, Tanzila Saba, Amjad Rehman
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
An improved breast cancer classification with hybrid chaotic sand cat and Remora Optimization feature selection algorithm
Afnan M. Alhassan
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0300622-e0300622
Open Access | Times Cited: 3
CaMeL-Net: Centroid-aware metric learning for efficient multi-class cancer classification in pathology images
Jaeung Lee, Chiwon Han, Kyungeun Kim, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 241, pp. 107749-107749
Open Access | Times Cited: 9
Multi-Branch Spectral Channel Attention Network for Breast Cancer Histopathology Image Classification
Lu Cao, Ke Pan, Yuan Ren, et al.
Electronics (2024) Vol. 13, Iss. 2, pp. 459-459
Open Access | Times Cited: 1
Biomedical Mammography Image Classification Using Patches-Based Feature Engineering with Deep Learning and Ensemble Classifier
Ramesh Chandra Poonia, Kamal Upreti, Samreen Jafri, et al.
Lecture notes in networks and systems (2024), pp. 275-285
Closed Access | Times Cited: 1
Efficient diagnosis of IDH-mutant gliomas: 1p/19qNET assesses 1p/19q codeletion status using weakly-supervised learning
Gi Jeong Kim, Tonghyun Lee, Sangjeong Ahn, et al.
npj Precision Oncology (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 2
A prediction model based on digital breast pathology image information
Guoxin Sun, Liying Cai, Yan Xiong, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0294923-e0294923
Open Access
A Computer Aided Detection System for Breast Cancer using Lightweight CNN Models for Smart Healthcare
C Varun, Ajay Kumar Reddy Poreddy, Thunakala Balakrishna, et al.
(2024), pp. 1-6
Closed Access
A lightweight spatially-aware classification model for breast cancer pathology images
Liang Jiang, Cheng Zhang, Huan Zhang, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 586-608
Closed Access
Efficient Multi-Scale Attention Residual Network for Breast Cancer Histopathology Image Classification
Lu Cao, Ke Pan
(2023), pp. 238-243
Closed Access
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