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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:

Applications of different machine learning approaches in prediction of breast cancer diagnosis delay
Samira Dehdar, Khodakaram Salimifard, Reza Karami Mohammadi, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 14

Showing 14 citing articles:

Machine learning algorithms to uncover risk factors of breast cancer: insights from a large case-control study
Mostafa Dianatinasab, Khodakaram Salimifard, Reza Karami Mohammadi, et al.
Frontiers in Oncology (2024) Vol. 13
Open Access | Times Cited: 9
Identification of Novel Diagnostic and Prognostic Gene Signature Biomarkers for Breast Cancer Using Artificial Intelligence and Machine Learning Assisted Transcriptomics Analysis
Zeenat Mirza, Md. Shahid Ansari, Md Shahid Iqbal, et al.
Cancers (2023) Vol. 15, Iss. 12, pp. 3237-3237
Open Access | Times Cited: 22
Enhancing Ductal Carcinoma Classification Using Transfer Learning with 3D U-Net Models in Breast Cancer Imaging
Saman Khalil, Uroosa Nawaz, Zubariah Zubariah, et al.
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4255-4255
Open Access | Times Cited: 21
Breast Cancer Classification Using Synthesized Deep Learning Model with Metaheuristic Optimization Algorithm
Selvakumar Thirumalaisamy, T. Kamaleshwar, Hariharan Rajadurai, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2925-2925
Open Access | Times Cited: 19
Machine learning based models for predicting presentation delay risk among gastric cancer patients
Huali Zhou, Qiong Gu, Rong Bao, et al.
Frontiers in Oncology (2025) Vol. 14
Open Access
Exploring the role of breastfeeding, antibiotics, and indoor environments in preschool children atopic dermatitis through machine learning and hygiene hypothesis
Jinyang Wang, Haonan Shi, Xiaowei Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Machine-learning methods in detecting breast cancer and related therapeutic issues: a review
Ali Akbar Jafari
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 3
A Systematic Review of the Outcomes of Utilization of Artificial Intelligence Within the Healthcare Systems of the Middle East: A Thematic Analysis of Findings
Mohsen Khosravi, Seyyed Morteza Mojtabaeian, Emine Kübra Dindar Demiray, et al.
Health Science Reports (2024) Vol. 7, Iss. 12
Open Access | Times Cited: 1
Analysis of lung cancer risk factors from medical records in Ethiopia using machine learning
Demeke Endalie, Wondmagegn Taye Abebe
PLOS Digital Health (2023) Vol. 2, Iss. 7, pp. e0000308-e0000308
Open Access | Times Cited: 3
GENETIC ALGORITHM AND RANDOM FOREST CLASSIFIER FUSION: A CUTTING-EDGE APPROACH FOR BREAST CANCER DIAGNOSIS
Veeramani Veerapathran, Faiza Bait Ali Suleiman, Antonyraj Martin, et al.
International Journal of Information Technology Research and Applications (2023) Vol. 2, Iss. 4, pp. 46-54
Open Access | Times Cited: 2
Proposed intelligent learning algorithm to improve the diagnosis and classification of breast cancer masses
Mohsen Eftekharian
Research Square (Research Square) (2024)
Open Access
Exploring Atopic Dermatitis in Preschoolers: The Role of Breastfeeding, Antibiotics, and Indoor Environments Through Machine Learning and the Hygiene Hypothesis
Jinyang Wang, Haonan Shi, Xiaowei Wang, et al.
Research Square (Research Square) (2024)
Open Access
Development and validation of a machine learning model to predict delays in seeking medical care among patients with breast cancer in China
Xiaohong Chen, Zhiyan Cheng, Yinfeng Li, et al.
Research Square (Research Square) (2024)
Closed Access
Digital mammogram based robust feature extraction and selection for effective breast cancer classification in earlier stage
R. Shankari, J.S. Leena Jasmine, S. Mary Joans
Journal of Intelligent & Fuzzy Systems (2023) Vol. 46, Iss. 2, pp. 4593-4607
Closed Access
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