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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:

Mammogram classification based on a novel convolutional neural network with efficient channel attention
Qiong Lou, Yingying Li, Yaguan Qian, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106082-106082
Closed Access | Times Cited: 18

Showing 18 citing articles:

A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images
Kiran Jabeen, Muhammad Attique Khan, Mohamed Abdel Hameed, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 22
Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset
Mingzhao Wang, Ran Liu, Joseph Luttrell, et al.
Journal of Multidisciplinary Healthcare (2025) Vol. Volume 18, pp. 675-695
Open Access | Times Cited: 1
An intelligent healthcare framework for breast cancer diagnosis based on the information fusion of novel deep learning architectures and improved optimization algorithm
Kiran Jabeen, Muhammad Attique Khan, Robertas Damaševičius, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109152-109152
Closed Access | Times Cited: 7
CbcErDL: Classification of breast cancer from mammograms using enhance image reduction and deep learning framework
Rohit Agrawal, Navneet Pratap Singh, Nitin Arvind Shelke, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 4
GSA‐Net: Global Spatial Structure‐Aware Attention Network for Liver Segmentation in MR Images With Respiratory Artifacts
Jina-tao Jiang, Dongsheng Zhou, Muzhen He, et al.
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
Advancing lung cancer diagnosis: Combining 3D auto-encoders and attention mechanisms for CT scan analysis
Meng Wang, Zi Yang, Ruifeng Zhao
Journal of X-Ray Science and Technology (2025)
Closed Access
Research on OCT Image Classification Methods for Multiple Types of Retinal Diseases
国荣 徐
Modeling and Simulation (2025) Vol. 14, Iss. 01, pp. 1136-1145
Closed Access
Prediction of Diesel Engine NO <italic><sub>x</sub></italic> Transient Emissions Based on a Combined Model with Convolutional Neural Network–Efficient Channel Attention–Bidirectional Gated Recurrent Unit
Yunlong Peng, Guiyong Wang, Yuhua Wang, et al.
SAE International Journal of Engines (2025) Vol. 18, Iss. 2
Closed Access
A hybrid deep learning model for mammographic breast cancer detection: Multi-autoencoder and attention mechanisms
Long Yan, Lei Wu, Meng Xia, et al.
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 3, pp. 101578-101578
Closed Access
Deep learning-based breast cancer diagnosis with multiview of mammography screening to reduce false positive recall rate
Meryem Altın Karagöz, Özkan Ufuk Nalbantoğlu, Derviş Karaboğa, et al.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (2024) Vol. 32, Iss. 3, pp. 382-402
Open Access | Times Cited: 2
Explainable Artificial Intelligence Methods for Breast Cancer Recognition
Robertas Damaševičius
Deleted Journal (2024) Vol. 1, Iss. 3, pp. 25-25
Open Access | Times Cited: 2
An Adaptive Fuzzy C-Means segmentation and deep learning model for efficient mammogram classification using VGG-Net
Vinoth Rathinam, Sasireka Rajendran, K. Valarmathi
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105617-105617
Closed Access | Times Cited: 6
CSA-Net: Channel and Spatial Attention-Based Network for Mammogram and Ultrasound Image Classification
Osama Bin Naeem, Yasir Saleem
Journal of Imaging (2024) Vol. 10, Iss. 10, pp. 256-256
Open Access | Times Cited: 1
SaRF: Saliency regularized feature learning improves MRI sequence classification
Suhang You, Roland Wiest, Mauricio Reyes
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107867-107867
Open Access | Times Cited: 3
FSE-Net: feature selection and enhancement network for mammogram classification
Caiqing Liao, Xin Wen, Shuman Qi, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 19, pp. 195001-195001
Closed Access | Times Cited: 2
Augmented mass detection of breast cancer in mammogram images using deep intelligent neural network model
P. Nagaraj, Jeyanathan Josephine Selle, Vasudevan Muneeswaran, et al.
Elsevier eBooks (2024), pp. 381-391
Closed Access
Exploring the influence of attention for whole-image mammogram classification
Marc Berghouse, George Bebis, Alireza Tavakkoli
Image and Vision Computing (2024) Vol. 147, pp. 105062-105062
Closed Access
Towards an interpretable breast cancer detection and diagnosis system
Cristiana Moroz-Dubenco, Adél Bajcsi, Anca Andreica, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109520-109520
Open Access
Investigating the Impact of Attention on Mammogram Classification
Marc Berghouse, George Bebis, Alireza Tavakkoli
Lecture notes in computer science (2023), pp. 30-43
Closed Access
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