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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:

A Diagnostic Model of Breast Cancer Based on Digital Mammogram Images Using Machine Learning Techniques
Farouk Al-Fahaidy, Belal Al-Fuhaidi, Ishaq AL-Darouby, et al.
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 17

Showing 17 citing articles:

Analysis on Improved Gaussian-Wiener filtering technique and GLCM based Feature Extraction for Breast Cancer Diagnosis
K. V. Ranjitha, T. P. Pushphavathi
Procedia Computer Science (2024) Vol. 235, pp. 2857-2866
Open Access | Times Cited: 4
Hybrid segmentation and 3D Imaging: Comprehensive framework for breast cancer patient segmentation and classification based on digital breast tomosynthesis
Wail M. Idress, Khalid A. Abouda, Rawal Javed, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106992-106992
Closed Access | Times Cited: 3
Machine learning and new insights for breast cancer diagnosis
Guo Ya, Heng Zhang, Leilei Yuan, et al.
Journal of International Medical Research (2024) Vol. 52, Iss. 4
Open Access | Times Cited: 2
Developing a Model to Identify and Analyze Features in Mammography Images to Detect Breast Cancers
Hayder Raheem Salman AL-Hraishawi, Ali Hamié
International Research Journal of Innovations in Engineering and Technology (2024) Vol. 08, Iss. 03, pp. 69-74
Open Access | Times Cited: 1
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
Integrated Ensemble Strategy for Breast Cancer Detection using Dimensionally Reduction Technique
Zulfikar Ali Ansari, Manish Madhava Tripathi, Rafeeq Ahmad
Research Square (Research Square) (2024)
Open Access
Classification System for Early Breast Cancer Diagnosis using Machine Learning
Miran Hakim Aziz, Alan Anwer Abdulla
Research Square (Research Square) (2024)
Open Access
Medical image analysis steps: Medical image acquisition to classification (or regression) in neuro-oncology
Suchismita Das, Meghna, Sanjay Saxena
Elsevier eBooks (2024), pp. 163-179
Closed Access
Ontological modeling with recursive recurrent neural network and crayfish optimization for reliable breast cancer prediction
V. Rajeswari, K. Sakthi Priya
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106810-106810
Closed Access
Understanding the Landscape: A Review of Explainable AI in Healthcare Decision-Making
Zulfikar Ali Ansari, Manish Madhava Tripathi, Rafeeq Ahmed
Research Square (Research Square) (2024)
Closed Access
Augmented mass detection of breast cancer in mammogram images using deep intelligent neural network model
P. Nagaraj, Jeyanathan Josephine Selle, Vasudevan Muneeswaran, et al.
Elsevier eBooks (2024), pp. 381-391
Closed Access
Classification System of Breast Cancer using Machine Learning on Hu Moment Invariants and GLCM Features
Yessi Jusman, Rika Nursanthika, C Anna Nur Nazilah
(2024), pp. 131-135
Closed Access
Mühendislik Uygulamalarında Yenilikçi ve Multidisipliner Çalışmalar
Sadettin Topçu, Hasan Savaş, Hasan Tosun, et al.
Özgür Yayınları eBooks (2024)
Closed Access
Carbon pattern in polymeric nanofabrication for breast tumor molecular cell analysis using hybrid machine learning technique
K. S. Kiran, Gajendra Kumar, Akash Kumar Bhagat, et al.
Optical and Quantum Electronics (2023) Vol. 55, Iss. 10
Closed Access
Breast cancer diagnosis based on support vector machine techniques
Ruaa Hassan Mohammed Ameen, Nasseer Moyasser Basheer, Ahmed Khazal Younis
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 32, Iss. 1, pp. 236-236
Open Access
MACHINE LEARNING MODELS USED IN MEDICAL IMAGE SEGMENTATION: A REVIEW
Joseph Chukwunazo, Ojo Dolire
International Research Journal of Modernization in Engineering Technology and Science (2023)
Open Access
Enhancing Breast Cancer Screening: Mammogram Image Analysis with Multiclass Support Vector Machine
J. Velumani, Ali Ashoor Issa, Gotte Ranjith Kumar, et al.
(2023), pp. 1-6
Closed Access
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