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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:

Ensemble Deep-Learning-Enabled Clinical Decision Support System for Breast Cancer Diagnosis and Classification on Ultrasound Images
Mahmoud Ragab, Ashwag Albukhari, Jaber Alyami, et al.
Biology (2022) Vol. 11, Iss. 3, pp. 439-439
Open Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

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: 86
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 86
Machine Learning in Health
Gozde Kara, Leyla Özgür Polat
Advances in healthcare information systems and administration book series (2024), pp. 165-200
Closed Access | Times Cited: 85
Automated breast cancer detection in mammography using ensemble classifier and feature weighting algorithms
Fei Yan, Hesheng Huang, Witold Pedrycz, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120282-120282
Closed Access | Times Cited: 42
A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis
Xi Xu, Jianqiang Li, Zhichao Zhu, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 219-219
Open Access | Times Cited: 33
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: 17
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: 2
A review on recent developments in cancer detection using Machine Learning and Deep Learning models
Sonam Maurya, Sushil Tiwari, Monika Chowdary Mothukuri, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104398-104398
Closed Access | Times Cited: 54
Stimuli-responsive switchable MRI nanoprobe for tumor theranostics
Baode Chen, Liuhui Liu, Renye Yue, et al.
Nano Today (2023) Vol. 51, pp. 101931-101931
Closed Access | Times Cited: 29
A New Deep-Learning-Based Model for Breast Cancer Diagnosis from Medical Images
Salman Zakareya, Habib Izadkhah, Jaber Karimpour
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1944-1944
Open Access | Times Cited: 26
Intelligent Ultrasound Imaging for Enhanced Breast Cancer Diagnosis: Ensemble Transfer Learning Strategies
K. Sreenivasa Rao, Panduranga Vital Terlapu, D. Jayaram, et al.
IEEE Access (2024) Vol. 12, pp. 22243-22263
Open Access | Times Cited: 10
The Impact of Artificial Intelligence on Microbial Diagnosis
Ahmad Alsulimani, Naseem Akhter, Fatima Jameela, et al.
Microorganisms (2024) Vol. 12, Iss. 6, pp. 1051-1051
Open Access | Times Cited: 10
An integrated framework for breast mass classification and diagnosis using stacked ensemble of residual neural networks
Asma Baccouche, Begonya García-Zapirain, Adel Elmaghraby
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 32
hist2RNA: An Efficient Deep Learning Architecture to Predict Gene Expression from Breast Cancer Histopathology Images
Raktim Kumar Mondol, Ewan K.A. Millar, Peter Graham, et al.
Cancers (2023) Vol. 15, Iss. 9, pp. 2569-2569
Open Access | Times Cited: 22
Adaptive Aquila Optimizer with Explainable Artificial Intelligence-Enabled Cancer Diagnosis on Medical Imaging
Salem Alkhalaf, Fahad Alturise, Adel A. Bahaddad, et al.
Cancers (2023) Vol. 15, Iss. 5, pp. 1492-1492
Open Access | Times Cited: 21
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Hari Mohan, Joon Yoo
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 14365-14408
Closed Access | Times Cited: 21
A blockchain-enabled internet of medical things system for breast cancer detection in healthcare
Sushovan Chaudhury, Kartik Sau
Healthcare Analytics (2023) Vol. 4, pp. 100221-100221
Open Access | Times Cited: 19
A Secure Internet of Medical Things Framework for Breast Cancer Detection in Sustainable Smart Cities
Theyazn H. H. Aldhyani, Mohammad Ayoub Khan, Mohammed Amin Almaiah, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 858-858
Open Access | Times Cited: 18
Deep Learning in Different Ultrasound Methods for Breast Cancer, from Diagnosis to Prognosis: Current Trends, Challenges, and an Analysis
Humayra Afrin, Nicholas B. Larson, Mostafa Fatemi, et al.
Cancers (2023) Vol. 15, Iss. 12, pp. 3139-3139
Open Access | Times Cited: 17
Deep Learning-Based Multi-Modal Ensemble Classification Approach for Human Breast Cancer Prognosis
Ehtisham Khan Jadoon, Fiaz Gul Khan, Sajid Shah, et al.
IEEE Access (2023) Vol. 11, pp. 85760-85769
Open Access | Times Cited: 17
Prediction of Disease-Free Survival in Breast Cancer using Deep Learning with Ultrasound and Mammography: A Multicenter Study
Junqi Han, Hui Hua, Fei Jie, et al.
Clinical Breast Cancer (2024) Vol. 24, Iss. 3, pp. 215-226
Closed Access | Times Cited: 7
Transforming Cancer Classification: The Role of Advanced Gene Selection
Abrar Yaqoob, Mushtaq Ahmad Mir, G. Venkata Rao, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2632-2632
Open Access | Times Cited: 7
Basic principles of artificial intelligence in dermatology explained using melanoma
Tim Hartmann, Johannes Passauer, Julien Hartmann, et al.
JDDG Journal der Deutschen Dermatologischen Gesellschaft (2024) Vol. 22, Iss. 3, pp. 339-347
Open Access | Times Cited: 6
Emerging Research Trends in Artificial Intelligence for Cancer Diagnostic Systems: A Comprehensive Review
Sagheer Abbas, Muhammad Waqas Asif, Abdur Rehman, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36743-e36743
Open Access | Times Cited: 6
Deep Learning Approaches for Classification of Breast Cancer in Ultrasound (US) Images
İshak Paçal
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2022) Vol. 12, Iss. 4, pp. 1917-1927
Closed Access | Times Cited: 28
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