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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:

Computerized Analysis of Mammogram Images for Early Detection of Breast Cancer
Yassir Edrees Almalki, Toufique Ahmed Soomro, Muhammad Irfan, et al.
Healthcare (2022) Vol. 10, Iss. 5, pp. 801-801
Open Access | Times Cited: 24

Showing 24 citing articles:

BC2NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based Features Selection
Kiran Jabeen, Muhammad Attique Khan, Jamel Balili, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1238-1238
Open Access | Times Cited: 55
Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization
S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 16
Classification of Breast Cancer Using Transfer Learning and Advanced Al-Biruni Earth Radius Optimization
Amel Ali Alhussan, Abdelaziz A. Abdelhamid, S. K. Towfek, et al.
Biomimetics (2023) Vol. 8, Iss. 3, pp. 270-270
Open Access | Times Cited: 18
Ultrasound Based Breast Cancer Segmentation and Classification with Deep Learning Techniques
Aesha Farheen, Golda Dilip
Communications in computer and information science (2025), pp. 229-242
Closed Access
MFAN: Multi-Feature Attention Network for Breast Cancer Classification
Inzamam Mashood Nasir, Masad A. Alrasheedi, Nasser Aedh Alreshidi
Mathematics (2024) Vol. 12, Iss. 23, pp. 3639-3639
Open Access | Times Cited: 3
Connected-SegNets: A Deep Learning Model for Breast Tumor Segmentation from X-ray Images
Mohammad Alkhaleefah, Tan-Hsu Tan, Chuan-Hsun Chang, et al.
Cancers (2022) Vol. 14, Iss. 16, pp. 4030-4030
Open Access | Times Cited: 15
An enhanced multi-scale deep convolutional orchard capsule neural network for multi-modal breast cancer detection
Sangeeta Parshionikar, Debnath Bhattacharyya
Healthcare Analytics (2023) Vol. 5, pp. 100298-100298
Open Access | Times Cited: 5
Enhancement of Medical Images through an Iterative McCann Retinex Algorithm: A Case of Detecting Brain Tumor and Retinal Vessel Segmentation
Yassir Edrees Almalki, Nisar Ahmed Jandan, Toufique Ahmed Soomro, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8243-8243
Open Access | Times Cited: 8
A Systematic Literature Review on the Methods of Breast Cancer Classification
Shofwatul Uyun, Nida Muhliya Barkah, Irma Eryanti Putri, et al.
Engineering headway (2024) Vol. 6, pp. 115-123
Closed Access | Times Cited: 1
Reinforcement learning (RL)-based semantic segmentation and attention based backpropagation convolutional neural network (ABB-CNN) for breast cancer identification and classification using mammogram images
Neha Thakur, Pardeep Kumar, A. P. Siva Kumar
Neural Computing and Applications (2024) Vol. 36, Iss. 24, pp. 14797-14823
Closed Access | Times Cited: 1
Generic hybrid model for breast cancer mammography image classification using EfficientNetB2
Oluwasegun Abiodun Abioye, Sadiq Thomas, Chinomso Roselyn Odimba, et al.
Dutse Journal of Pure and Applied Sciences (2023) Vol. 9, Iss. 3b, pp. 281-289
Open Access | Times Cited: 3
Application of Artificial Intelligence in the Mammographic Detection of Breast Cancer in Saudi Arabian Women
Rowa Aljondi, Salem Saeed Alghamdi, Abdulrahman Tajaldeen, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 12087-12087
Open Access | Times Cited: 2
Detection of Breast Cancer through the Analysis of Radiographic Images Using Machine Learning: A Systematic Review
Kristell Yukie Jimenez Ayala
International Journal of Online and Biomedical Engineering (iJOE) (2024) Vol. 20, Iss. 05, pp. 120-132
Open Access
MamT4: Multi-View Attention Networks for Mammography Cancer Classification
Alisher Ibragimov, С.А. Сенотрусова, Arsenii A. Litvinov, et al.
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2024), pp. 1965-1970
Open Access
Image Quality Enhancement of Digital Mammograms Through Hybrid Filter and Contrast Enhancement
Neha Thakur, Pardeep Kumar, A. P. Siva Kumar
Communications in computer and information science (2024), pp. 194-212
Closed Access
Mammograms Image Quality Enhancement Using Center Adaptive Median Filter (CEAMF) for Noise and Artifact Removal
Neha Thakur, Pardeep Kumar, A. P. Siva Kumar
Lecture notes in networks and systems (2024), pp. 544-554
Closed Access
3DSC2-UNet: Advancing Breast Cancer Segmentation Techniques Using the 3D Skipped Convolution Capsule-UNet
Parthasarathy Ramadass, C. Sharmila, Rakesh Kumar Mahendran, et al.
(2024), pp. 1-7
Closed Access
Medical diagnosis using image processing techniques
Aavampreet Kour
Elsevier eBooks (2024), pp. 303-315
Closed Access
Multilevel semantic segmentation and optimal feature selection based convolution neural network (Op-CNN) for breast cancer identification and classification using mammogram images
Neha Thakur, Pardeep Kumar, A. P. Siva Kumar
Biomedical Signal Processing and Control (2024) Vol. 103, pp. 107374-107374
Closed Access
A novel breast cancer detection system from mammographic images using a hyperparameter tuned gated recurrent unit with attention included capsnet
M. Maheswari, K. Karthigadevi, Geeta Rani
Journal of Biomolecular Structure and Dynamics (2024), pp. 1-14
Closed Access
Enhancing Detection of Microcalcifications using FADHECAL for Early Stage Breast Cancer
Saifullah Harith Suradi, Kamarul Amin Abdullah, Nor Ashidi Mat Isa
Mindanao Journal of Science and Technology (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 1
Novel methodology for detecting and localizing cancer area in histopathological images based on overlapping patches
Sergio Ortiz, Ignacio Rojas, Fernando Rojas, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107713-107713
Open Access | Times Cited: 1
Mammograms-Based Breast Cancer Detection Using Ai Image Processing Techniques

Journal of Coastal Life Medicine (2023)
Open Access | Times Cited: 1
Artificial intelligence in radial diagnostics of breast cancer
E. L. Teodozova, E Yu Khomutova
Scientific Bulletin of the Omsk State Medical University (2023) Vol. 3, Iss. 4, pp. 26-34
Open Access
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