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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:

Machine Learning based Intelligent System for Breast Cancer Prediction (MLISBCP)
Akhil Das, Saroj Kr. Biswas, Ardhendu Mandal, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122673-122673
Closed Access | Times Cited: 17

Showing 17 citing articles:

Prediction on nature of cancer by fuzzy graphoidal covering number using artificial neural network
Anushree Bhattacharya, Madhumangal Pal
Artificial Intelligence in Medicine (2024) Vol. 148, pp. 102783-102783
Closed Access | Times Cited: 8
VELM: a voting based ensemble learning model for breast cancer prediction
Archana Singh, Kuldeep Singh Kaswan, Rajani Rajani
Physica Scripta (2025) Vol. 100, Iss. 2, pp. 026002-026002
Closed Access
Development and validation of a machine learning approach for screening new leprosy cases based on the leprosy suspicion questionnaire
Mateus Mendonça Ramos Simões, Filipe Rocha Lima, Helena Barbosa Lugão, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Machine Learning Based Expert System for Breast Cancer Prediction (MLESBCP)
Akhil Das, Saroj Kumar Biswas, Arup K. Mandal, et al.
Communications in computer and information science (2025), pp. 275-286
Closed Access
Advanced Breast Cancer Prediction Using Deep Neural Networks Integrated with Ensemble Models
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
Chemometrics and Intelligent Laboratory Systems (2025), pp. 105399-105399
Closed Access
Machine Learning for Early Breast Cancer Detection
N. A. Chowdhury, Lulu Wang, Linxia Gu, et al.
Journal of Engineering and Science in Medical Diagnostics and Therapy (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 2
A light gradient boosting machine learning-based approach for predicting clinical data breast cancer
Wang Qiuqian, GaoMin, Zhang KeZhu, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 1
Comparative Study of Artificial Intelligence Models for Breast Cancer Detection
Tanvi Meet Dhruv
Journal of Trends in Computer Science and Smart Technology (2024) Vol. 6, Iss. 1, pp. 18-36
Open Access | Times Cited: 1
A deep convolutional neural network for the classification of imbalanced breast cancer dataset
Robert B. Eshun, Marwan Bikdash, Amirul Islam
Healthcare Analytics (2024) Vol. 5, pp. 100330-100330
Open Access | Times Cited: 1
Prediction and Diagnosis of Breast Cancer using Machine Learning Techniques
Gufran Ahmad Ansari, Salliah Shafi Bhat, Mohd Dilshad Ansari, et al.
Data & Metadata (2024) Vol. 3
Closed Access | Times Cited: 1
Introduction to Predictive Analysis in Healthcare
Marwana Sayed, Smita Shahane, Nikhil Mane, et al.
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 38-63
Closed Access
Catalyzing Healthcare Advancements: Integrating IoT-Driven Smart Systems and Deep Learning for Precision Breast Cancer Detection in Telemedicine
Warish Patel, Amit Ganatra, Hakan Koyuncu
Revue d intelligence artificielle (2024) Vol. 38, Iss. 4, pp. 1341-1351
Open Access
Validating ML algorithms for efficient Breast Cancer Prediction using K-fold
P. Asha, J. Refonaa, S. L. Jany Shabu, et al.
(2024), pp. 587-591
Closed Access
SmartScanPCOS: A Feature-Driven Approach to Cutting-Edge Prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence
Umaa Mahesswari G, Uma Maheswari P
Heliyon (2024) Vol. 10, Iss. 20, pp. e39205-e39205
Closed Access
Recent and Advanced Trends in Cancer Treatments
Chajkivskyj RA, Mohamed Osman Elamin, Sucheta Karande
National Journal of Community Medicine (2024) Vol. 15, Iss. 12, pp. 1090-1107
Open Access
A Robust Enhanced Ensemble Learning Method for Breast Cancer Data Diagnosis on Imbalanced Data
Zhenzhen Wang, Junde Xie, Jia Zhang
IEEE Access (2024) Vol. 12, pp. 189776-189788
Open Access
Cost-sensitive neural network: A grey wolf optimizer-based approach for breast cancer prediction
Said Al Afghani Edsa, Khamron Sunat, Hui Guo
Expert Systems with Applications (2024), pp. 126176-126176
Closed Access
Pemanfaatan Aplikasi KePO sebagai Strategi Deteksi Dini Kanker Payudara
Lilis Novitarum, Arjuna Ginting, Aprilita Br. Sitepu
Jurnal Keperawatan Florence Nightingale (2024) Vol. 7, Iss. 2, pp. 361-367
Closed Access
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