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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 learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges
Ghulam Murtaza, Liyana Shuib, Ainuddin Wahid Abdul Wahab, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 3, pp. 1655-1720
Closed Access | Times Cited: 258

Showing 1-25 of 258 citing articles:

Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities
Waddah Saeed, Christian W. Omlin
Knowledge-Based Systems (2023) Vol. 263, pp. 110273-110273
Open Access | Times Cited: 328
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
Essam H. Houssein, Marwa M. Emam, Abdelmgeid A. Ali, et al.
Expert Systems with Applications (2020) Vol. 167, pp. 114161-114161
Closed Access | Times Cited: 308
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks
Zhou Xiao-min, Chen Li, Md Mamunur Rahaman, et al.
IEEE Access (2020) Vol. 8, pp. 90931-90956
Open Access | Times Cited: 169
Boosting Breast Cancer Detection Using Convolutional Neural Network
Saad Alanazi, M. M. Kamruzzaman, Md Nazirul Islam Sarker, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 153
A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis
Yogesh Kumar, Surbhi Gupta, Ruchi Singla, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 4, pp. 2043-2070
Open Access | Times Cited: 152
BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights
Yassir Benhammou, Boujemâa Achchab, Francisco Herrera, et al.
Neurocomputing (2019) Vol. 375, pp. 9-24
Closed Access | Times Cited: 144
A framework for breast cancer classification using Multi-DCNNs
Dina A. Ragab, Omneya Attallah, Maha Sharkas, et al.
Computers in Biology and Medicine (2021) Vol. 131, pp. 104245-104245
Open Access | Times Cited: 144
Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning
Hanan Aljuaid, Nazik Alturki, Najah Alsubaie, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 223, pp. 106951-106951
Open Access | Times Cited: 144
Vision Transformers in medical computer vision—A contemplative retrospection
Arshi Parvaiz, Muhammad Anwaar Khalid, Rukhsana Zafar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106126-106126
Open Access | Times Cited: 138
Survey on Machine Learning and Deep Learning Applications in Breast Cancer Diagnosis
Gunjan Chugh, Shailender Kumar, Nanhay Singh
Cognitive Computation (2021) Vol. 13, Iss. 6, pp. 1451-1470
Closed Access | Times Cited: 111
Connected-UNets: a deep learning architecture for breast mass segmentation
Asma Baccouche, Begonya García-Zapirain, Cristián Castillo-Olea, et al.
npj Breast Cancer (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 108
Intelligent Hybrid Deep Learning Model for Breast Cancer Detection
Xiaomei Wang, Ijaz Ahmad, Danish Javeed, et al.
Electronics (2022) Vol. 11, Iss. 17, pp. 2767-2767
Open Access | Times Cited: 79
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
Framework for Detecting Breast Cancer Risk Presence Using Deep Learning
Mamoona Humayun, Muhammad Ibrahim Khalil, Saleh Naif Almuayqil, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 403-403
Open Access | Times Cited: 51
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
Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches
Jiadong Zhang, Jiaojiao Wu, Xiang Sean Zhou, et al.
Seminars in Cancer Biology (2023) Vol. 96, pp. 11-25
Closed Access | Times Cited: 44
Breast cancer detection and diagnosis using hybrid deep learning architecture
R. Sathesh Raaj
Biomedical Signal Processing and Control (2023) Vol. 82, pp. 104558-104558
Closed Access | Times Cited: 40
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
GARL-Net: Graph Based Adaptive Regularized Learning Deep Network for Breast Cancer Classification
Vivek Patel, Vijayshri Chaurasia, Rajesh Mahadeva, et al.
IEEE Access (2023) Vol. 11, pp. 9095-9112
Open Access | Times Cited: 39
Improved early detection accuracy for breast cancer using a deep learning framework in medical imaging
RICHA RICHA, B. D. K. Patro
Computers in Biology and Medicine (2025) Vol. 187, pp. 109751-109751
Closed Access | Times Cited: 1
Text categorization: past and present
Ankita Dhar, Himadri Mukherjee, Niladri Sekhar Dash, et al.
Artificial Intelligence Review (2020) Vol. 54, Iss. 4, pp. 3007-3054
Closed Access | Times Cited: 84
Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification
Francisco Maria Calisto, Carlos Santiago, Nuno Nunes, et al.
International Journal of Human-Computer Studies (2021) Vol. 150, pp. 102607-102607
Closed Access | Times Cited: 75
Efficient Framework for Brain Tumour Classification using Hierarchical Deep Learning Neural Network Classifier
Francis H. Shajin, P. Salini, P. Rajesh, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2022) Vol. 11, Iss. 3, pp. 750-757
Closed Access | Times Cited: 65
Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study
Manuel J. Rivera, Miguel A. Teruel, Alejandro Maté, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 2, pp. 1209-1251
Closed Access | Times Cited: 62
Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods
Ramin Ranjbarzadeh, Shadi Dorosti, Saeid Jafarzadeh Ghoushchi, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106443-106443
Open Access | Times Cited: 59
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