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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:

Deep Convolutional Neural Networks for breast cancer screening
Hiba Chougrad, Hamid Zouaki, Omar Alheyane
Computer Methods and Programs in Biomedicine (2018) Vol. 157, pp. 19-30
Closed Access | Times Cited: 407

Showing 26-50 of 407 citing articles:

Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification
Ting Pang, Jeannie Hsiu Ding Wong, Wei Lin Ng, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 203, pp. 106018-106018
Closed Access | Times Cited: 103
An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm
Essam H. Houssein, Marwa M. Emam, Abdelmgeid A. Ali
Neural Computing and Applications (2022) Vol. 34, Iss. 20, pp. 18015-18033
Open Access | Times Cited: 103
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: 102
ResNet and its application to medical image processing: Research progress and challenges
Wanni Xu, You-Lei Fu, Dongmei Zhu
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107660-107660
Closed Access | Times Cited: 99
Artificial intelligence assists precision medicine in cancer treatment
Jinzhuang Liao, M Kellis, Yu Gan, et al.
Frontiers in Oncology (2023) Vol. 12
Open Access | Times Cited: 96
Medical Internet-of-Things Based Breast Cancer Diagnosis Using Hyperparameter-Optimized Neural Networks
Roseline Oluwaseun Ogundokun, Sanjay Misra, Mychal Douglas, et al.
Future Internet (2022) Vol. 14, Iss. 5, pp. 153-153
Open Access | Times Cited: 84
Artificial intelligence for breast cancer analysis: Trends & directions
Shahid Munir Shah, Rizwan Ahmed Khan, Sheeraz Arif, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105221-105221
Open Access | Times Cited: 77
Mammogram breast cancer CAD systems for mass detection and classification: a review
Nada M. Hassan, Safwat Hamad, Khaled Mahar
Multimedia Tools and Applications (2022) Vol. 81, Iss. 14, pp. 20043-20075
Open Access | Times Cited: 75
ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, N. Sarshar, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10099-10136
Closed Access | Times Cited: 45
Efficient Breast Cancer Diagnosis from Complex Mammographic Images Using Deep Convolutional Neural Network
Hameedur Rahman, Tanvir Fatima Naik Bukht, Rozilawati Ahmad, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 43
Machine learning and deep learning techniques for breast cancer diagnosis and classification: a comprehensive review of medical imaging studies
Mehran Radak, Haider Yabr Lafta, Hossein Fallahi
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 12, pp. 10473-10491
Closed Access | Times Cited: 40
Breast cancer diagnosis using support vector machine optimized by improved quantum inspired grey wolf optimization
Anas Bilal, Azhar Imran, Talha Imtiaz Baig, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 26
Breast cancer diagnosis: A systematic review
Xin Wen, Xing Guo, Shuihua Wang‎, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 1, pp. 119-148
Open Access | Times Cited: 16
Mammography with deep learning for breast cancer detection
Lulu Wang
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 15
Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI’s potential in breast screening practice
Nehmat Houssami, Georgia Kirkpatrick-Jones, Naomi Noguchi, et al.
Expert Review of Medical Devices (2019) Vol. 16, Iss. 5, pp. 351-362
Open Access | Times Cited: 139
Classification of Mammogram Images Using Multiscale all Convolutional Neural Network (MA-CNN)
S. Akila Agnes, J. Anitha, S. Immanuel Alex Pandian, et al.
Journal of Medical Systems (2019) Vol. 44, Iss. 1
Closed Access | Times Cited: 135
Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression
Vinod J. Kadam, Shivajirao M. Jadhav, K. Vijayakumar
Journal of Medical Systems (2019) Vol. 43, Iss. 8
Closed Access | Times Cited: 132
Images data practices for Semantic Segmentation of Breast Cancer using Deep Neural Network
Luqman Ahmed, Muhammad Munwar Iqbal, Hamza Aldabbas, et al.
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 14, Iss. 11, pp. 15227-15243
Closed Access | Times Cited: 116
A Review on Recent Progress in Thermal Imaging and Deep Learning Approaches for Breast Cancer Detection
Roslidar Roslidar, Aulia Rahman, Rusdha Muharar, et al.
IEEE Access (2020) Vol. 8, pp. 116176-116194
Open Access | Times Cited: 113
A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis
Lian Zou, Shaode Yu, Tiebao Meng, et al.
Computational and Mathematical Methods in Medicine (2019) Vol. 2019, pp. 1-16
Open Access | Times Cited: 109
New Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence
Yiming Gao, Krzysztof J. Geras, Alana A. Lewin, et al.
American Journal of Roentgenology (2019) Vol. 212, Iss. 2, pp. 300-307
Open Access | Times Cited: 108
“Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images”
Mugahed A. Al-antari, Cam-Hao Hua, Jaehun Bang, et al.
Applied Intelligence (2020) Vol. 51, Iss. 5, pp. 2890-2907
Open Access | Times Cited: 104
Multi-input convolutional neural network for breast cancer detection using thermal images and clinical data
Raquel Sánchez-Cauce, Jorge Pérez‐Martín, Manuel Luque
Computer Methods and Programs in Biomedicine (2021) Vol. 204, pp. 106045-106045
Open Access | Times Cited: 97
Multi-label transfer learning for the early diagnosis of breast cancer
Hiba Chougrad, Hamid Zouaki, Omar Alheyane
Neurocomputing (2019) Vol. 392, pp. 168-180
Closed Access | Times Cited: 96
Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review
Saleem Z. Ramadan
Journal of Healthcare Engineering (2020) Vol. 2020, pp. 1-21
Open Access | Times Cited: 96

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