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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 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: 76

Showing 1-25 of 76 citing articles:

A Comprehensive Review on Breast Cancer Detection, Classification and Segmentation Using Deep Learning
Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 5023-5052
Closed Access | Times Cited: 64
Vision-Transformer-Based Transfer Learning for Mammogram Classification
Gelan Ayana, Kokeb Dese, Yisak Dereje, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 178-178
Open Access | Times Cited: 54
Computer‐Aided Detection (CADe) and Segmentation Methods for Breast Cancer Using Magnetic Resonance Imaging (MRI)
Payam Jannatdoust, Parya Valizadeh, Nikoo Saeedi, et al.
Journal of Magnetic Resonance Imaging (2025)
Closed Access | Times Cited: 1
CerviLearnNet: Advancing cervical cancer diagnosis with reinforcement learning-enhanced convolutional networks
Shakhnoza Muksimova, Sabina Umirzakova, Seung‐Baik Kang, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e29913-e29913
Open Access | Times Cited: 14
Breast cancer detection using machine learning approaches: a comparative study
Muawia A. Elsadig, Abdelrahman Altigani, Huwaida T. Elshoush
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 13, Iss. 1, pp. 736-736
Open Access | Times Cited: 29
Denoising and segmentation in medical image analysis: A comprehensive review on machine learning and deep learning approaches
Ravi Kumar, Rahul Priyadarshi
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 6
CoroNet: Deep Neural Network-Based End-to-End Training for Breast Cancer Diagnosis
Nada Mobark, Safwat Hamad, S. Z. Rida
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 7080-7080
Open Access | Times Cited: 27
Automated Computer-Assisted Medical Decision-Making System Based on Morphological Shape and Skin Thickness Analysis for Asymmetry Detection in Mammographic Images
Rafael Bayareh-Mancilla, Luis Alberto Medina-Ramos, Alfonso Toriz-Vázquez, et al.
Diagnostics (2023) Vol. 13, Iss. 22, pp. 3440-3440
Open Access | Times Cited: 15
A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms
Damla COŞKUN, Derviş Karaboğa, Alper Baştürk, et al.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (2023) Vol. 31, Iss. 7, pp. 1294-1313
Open Access | Times Cited: 13
MultiBCD: A multimodal model that simulates the human diagnostic process for automated breast cancer detection
Juntong Du, Zihan Zhang, W. Andy Tao
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107410-107410
Closed Access
Dual‐View Deep Learning Model for Accurate Breast Cancer Detection in Mammograms
Dilawar Shah, Mohammad Asmat Ullah Khan, Mohammad Abrar, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
Detecting and classifying breast masses via YOLO-based deep learning
Büşra Kübra Karaca, Ziya Telatar, Selda Güney, et al.
Neural Computing and Applications (2025)
Open Access
Deep ensemble transfer learning-based framework for mammographic image classification
Parita Oza, Paawan Sharma, Samir Patel
The Journal of Supercomputing (2022) Vol. 79, Iss. 7, pp. 8048-8069
Closed Access | Times Cited: 21
AI in Breast Cancer Imaging: A Survey of Different Applications
João Mendes, José Domingues, Helena Aidos, et al.
Journal of Imaging (2022) Vol. 8, Iss. 9, pp. 228-228
Open Access | Times Cited: 19
AI-Based Cancer Detection Model for Contrast-Enhanced Mammography
Clément Jailin, Sara Mohamed, Răzvan Iordache, et al.
Bioengineering (2023) Vol. 10, Iss. 8, pp. 974-974
Open Access | Times Cited: 11
A novel approach for automatic tumor detection and localization in mammography images via mixture of factor analyzers based on co-clustering
Rahman Farnoosh, Fatemeh Aghagoli
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106038-106038
Closed Access | Times Cited: 3
Breast cancer diagnosis model using stacked autoencoder with particle swarm optimization
S. Manimurugan, P. Karthikeyan, Majed Aborokbah, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 6, pp. 102734-102734
Open Access | Times Cited: 3
An Improved Object Detection Algorithm Based on the Hessian Matrix and Conformable Derivative
J. E. Lavín-Delgado, J.E. Solís-Pérez, J.F. Gómez‐Aguilar, et al.
Circuits Systems and Signal Processing (2024) Vol. 43, Iss. 8, pp. 4991-5047
Closed Access | Times Cited: 3
Image analysis and teaching strategy optimization of folk dance training based on the deep neural network
Zhou Li
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Deep learning for computer-aided abnormalities classification in digital mammogram: A data-centric perspective
Vineela Nalla, Seyedamin Pouriyeh, Reza M. Parizi, et al.
Current Problems in Diagnostic Radiology (2024) Vol. 53, Iss. 3, pp. 346-352
Open Access | Times Cited: 2
ViT-MAENB7: An Innovative Breast Cancer Diagnosis Model from 3D Mammograms Using Advanced Segmentation and Classification Process
Thippaluru Umamaheswari, Y. Murali Mohan Babu
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108373-108373
Closed Access | Times Cited: 2
StethoNet: Robust Breast Cancer Mammography Classification Framework
Charalampos Lamprou, Kyriaki Katsikari, Noora A Rahmani, et al.
IEEE Access (2024) Vol. 12, pp. 144890-144904
Open Access | Times Cited: 2
Delineation and detection of breast cancer using novel label-free fluorescence
Alaaeldin Mahmoud, Yasser H. El-Sharkawy
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 6
Breast lesions segmentation and classification in a two-stage process based on Mask-RCNN and Transfer Learning
Hama Soltani, Mohamed Amroune, Issam Bendib, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 12, pp. 35763-35780
Closed Access | Times Cited: 6
Computer-Aided Diagnosis Methods for High-Frequency Ultrasound Data Analysis: A Review
Joanna Czajkowska, Martyna Borak
Sensors (2022) Vol. 22, Iss. 21, pp. 8326-8326
Open Access | Times Cited: 9
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