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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:

Automatic mass detection in mammograms using deep convolutional neural networks
Richa Agarwal, Oliver Díaz, Xavier Lladó, et al.
Journal of Medical Imaging (2019) Vol. 6, Iss. 03, pp. 1-1
Open Access | Times Cited: 158

Showing 1-25 of 158 citing articles:

Deep Learning to Improve Breast Cancer Detection on Screening Mammography
Li Shen, Laurie R. Margolies, Joseph H. Rothstein, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 839
Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms
Mugahed A. Al-antari, Seung‐Moo Han, Tae‐Seong Kim
Computer Methods and Programs in Biomedicine (2020) Vol. 196, pp. 105584-105584
Closed Access | Times Cited: 220
Transfer learning for medical images analyses: A survey
Xiang Yu, Jian Wang, Qingqi Hong, et al.
Neurocomputing (2022) Vol. 489, pp. 230-254
Closed Access | Times Cited: 138
Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning
Linh T. Duong, Nhi H. Le, Toan Tran, et al.
Expert Systems with Applications (2021) Vol. 184, pp. 115519-115519
Closed Access | Times Cited: 124
Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach
Debendra Muduli, Ratnakar Dash, Banshidhar Majhi
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 102825-102825
Closed Access | Times Cited: 111
TTCNN: A Breast Cancer Detection and Classification towards Computer-Aided Diagnosis Using Digital Mammography in Early Stages
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3273-3273
Open Access | Times Cited: 101
Application of Deep Learning in Breast Cancer Imaging
Luuk Balkenende, Jonas Teuwen, Ritse M. Mann
Seminars in Nuclear Medicine (2022) Vol. 52, Iss. 5, pp. 584-596
Open Access | Times Cited: 94
A Yolo-Based Model for Breast Cancer Detection in Mammograms
Francesco Prinzi, Marco Insalaco, Alessia Angela Maria Orlando, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 107-120
Open Access | Times Cited: 48
Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects
Oliver Díaz, Alejandro Rodríguez‐Ruiz, Ioannis Sechopoulos
European Journal of Radiology (2024) Vol. 175, pp. 111457-111457
Open Access | Times Cited: 20
Deep learning for mass detection in Full Field Digital Mammograms
Richa Agarwal, Oliver Díaz, Moi Hoon Yap, et al.
Computers in Biology and Medicine (2020) Vol. 121, pp. 103774-103774
Open Access | Times Cited: 108
Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Networks
Jun Wang, Qianying Liu, Haotian Xie, et al.
Cancers (2021) Vol. 13, Iss. 4, pp. 661-661
Open Access | Times Cited: 85
Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches
Tahsin Kurç, Spyridon Bakas, Xuhua Ren, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 82
ResNet-SCDA-50 for Breast Abnormality Classification
Xiang Yu, Kang Cheng, David S. Guttery, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 18, Iss. 1, pp. 94-102
Closed Access | Times Cited: 80
Breast cancer masses classification using deep convolutional neural networks and transfer learning
Shayma’a A. Hassan, Mohammed S. Sayed, Mahmoud I. Abdalla, et al.
Multimedia Tools and Applications (2020) Vol. 79, Iss. 41-42, pp. 30735-30768
Closed Access | Times Cited: 71
MommiNet-v2: Mammographic multi-view mass identification networks
Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, et al.
Medical Image Analysis (2021) Vol. 73, pp. 102204-102204
Open Access | Times Cited: 67
A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning
Sema Atasever, Nuh Azgınoglu, Duygu Sinanç Terzi, et al.
Clinical Imaging (2022) Vol. 94, pp. 18-41
Closed Access | Times Cited: 56
A Systematic Literature Review of Breast Cancer Diagnosis Using Machine Intelligence Techniques
Varsha Nemade, Sunil Pathak, Ashutosh Kumar Dubey
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 4401-4430
Closed Access | Times Cited: 42
A novel wavelet decomposition and transformation convolutional neural network with data augmentation for breast cancer detection using digital mammogram
Olaide N. Oyelade, Absalom E. Ezugwu
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 42
Early detection and classification of abnormality in prior mammograms using image-to-image translation and YOLO techniques
Asma Baccouche, Begonya García-Zapirain, Yufeng Zheng, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106884-106884
Closed Access | Times Cited: 39
Evaluation of deep learning models for detecting breast cancer using histopathological mammograms Images
Subasish Mohapatra, Sarmistha Muduly, Subhadarshini Mohanty, et al.
Sustainable Operations and Computers (2022) Vol. 3, pp. 296-302
Open Access | Times Cited: 38
A novel breast cancer detection architecture based on a CNN-CBR system for mammogram classification
Lydia Bouzar-Benlabiod, Khaled Harrar, Lahcen Yamoun, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107133-107133
Closed Access | Times Cited: 37
An Online Mammography Database with Biopsy Confirmed Types
Hongmin Cai, Jinhua Wang, Tingting Dan, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 21
Deep learning empowered breast cancer diagnosis: Advancements in detection and classification
Jawad Ahmad, Sheeraz Akram, Arfan Jaffar, et al.
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0304757-e0304757
Open Access | Times Cited: 9
An Automated In-Depth Feature Learning Algorithm for Breast Abnormality Prognosis and Robust Characterization from Mammography Images Using Deep Transfer Learning
Tariq Mahmood, Jianqiang Li, Yan Pei, et al.
Biology (2021) Vol. 10, Iss. 9, pp. 859-859
Open Access | Times Cited: 54
Breast cancer detection from thermal images using a Grunwald-Letnikov-aided Dragonfly algorithm-based deep feature selection method
Somnath Chatterjee, Shreya Biswas, Arindam Majee, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105027-105027
Closed Access | Times Cited: 52
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