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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 diagnosis of breast cancer utilizing feature optimization technique
Khandaker Mohammad Mohi Uddin, Nitish Biswas, Sarreha Tasmin Rikta, et al.
Computer Methods and Programs in Biomedicine Update (2023) Vol. 3, pp. 100098-100098
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Breast cancer detection using deep learning techniques: challenges and future directions
Muhammad Shahid, Azhar Imran
Multimedia Tools and Applications (2025)
Closed Access | Times Cited: 3
A comparative assessment of machine learning algorithms with the Least Absolute Shrinkage and Selection Operator for breast cancer detection and prediction
Md. Mehedi Hassan, Md. Mahedi Hassan, Farhana Yasmin, et al.
Decision Analytics Journal (2023) Vol. 7, pp. 100245-100245
Open Access | Times Cited: 37
Breast cancer diagnosis using the fast learning network algorithm
Musatafa Abbas Abbood Albadr, Masri Ayob, Sabrina Tiun, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 35
A Light Gradient-Boosting Machine algorithm with Tree-Structured Parzen Estimator for breast cancer diagnosis
Temidayo Oluwatosin Omotehinwa, David Opeoluwa Oyewola, Emmanuel Gbenga Dada
Healthcare Analytics (2023) Vol. 4, pp. 100218-100218
Open Access | Times Cited: 30
Predictive modeling for breast cancer classification in the context of Bangladeshi patients by use of machine learning approach with explainable AI
Taminul Islam, Md. Alif Sheakh, Mst. Sazia Tahosin, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Online sequential extreme learning machine approach for breast cancer diagnosis
Musatafa Abbas Abbood Albadr, Fahad Taha AL‐Dhief, Man Li, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 18, pp. 10413-10429
Closed Access | Times Cited: 8
Enhancing Breast Cancer Detection and Classification Using Advanced Multi-Model Features and Ensemble Machine Learning Techniques
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
Life (2023) Vol. 13, Iss. 10, pp. 2093-2093
Open Access | Times Cited: 16
Harnessing Fusion Modeling for Enhanced Breast Cancer Classification through Interpretable Artificial Intelligence and In-Depth Explanations
Niyaz Ahmad Wani, Ravinder Kumar, Jatin Bedi
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108939-108939
Closed Access | Times Cited: 6
Meme Kanseri Tanısında Wisconsin Veri Seti ile Makine Öğrenmesi Uygulamaları
Refik Tangi, Ramazan Solmaz
Bilişim Teknolojileri Dergisi (2025) Vol. 18, Iss. 1, pp. 29-43
Open Access
Challenges to the Early Diagnosis of Breast Cancer: Current Scenario and the Challenges Ahead
Ankita Sinha, M. Nazma B. J. Naskar, Manjusha Pandey, et al.
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 4
Application of machine learning approach on halal meat authentication principle, challenges, and prospects: A review
Abdul Raufu Mustapha, Iskandar Ishak, Nor Nadiha Mohd Zaki, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32189-e32189
Open Access | Times Cited: 4
A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM
Anas Bilal, Ali Alkhathlan, Faris Kateb, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
High-Level Ensemble: An Approach for Breast Cancer Classification
Abdulahi Mahammed Adem, Ravi Kant, Gaurav Gupta
SN Computer Science (2025) Vol. 6, Iss. 4
Closed Access
XML‐LightGBMDroid: A self‐driven interactive mobile application utilizing explainable machine learning for breast cancer diagnosis
Khandaker Mohammad Mohi Uddin, Nitish Biswas, Sarreha Tasmin Rikta, et al.
Engineering Reports (2023) Vol. 5, Iss. 11
Open Access | Times Cited: 9
Exploring heterogeneous data distribution issues in e-health federated systems
Giovanni Paragliola, Patrizia Ribino
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106039-106039
Closed Access | Times Cited: 2
Feature Selection-based Machine Learning Comparative Analysis for Predicting Breast Cancer
Chour Singh Rajpoot, Gajanand Sharma, Praveen Gupta, et al.
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 2
A comparative performance assessment of artificial intelligence based classifiers and optimized feature reduction technique for breast cancer diagnosis
Shumaila Batool, Saima Zainab
Computers in Biology and Medicine (2024) Vol. 183, pp. 109215-109215
Closed Access | Times Cited: 2
XAI-driven CatBoost multi-layer perceptron neural network for analyzing breast cancer
Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Abhishek Gudipalli, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
A hybrid model for post-treatment mortality rate classification of patients with breast cancer
Sakinat Oluwabukonla Folorunso, Joseph Bamidele Awotunde, Adepeju A. Adigun, et al.
Healthcare Analytics (2023) Vol. 4, pp. 100254-100254
Open Access | Times Cited: 6
High-Dimensional Ensemble Learning Classification: An Ensemble Learning Classification Algorithm Based on High-Dimensional Feature Space Reconstruction
Miao Zhao, Ning Ye
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 1956-1956
Open Access | Times Cited: 1
Breast Cancer Classification Utilizing Deep Learning Techniques on Medical Images: A Comprehensive Review
Marwah K. Muttair
Deleted Journal (2024) Vol. 20, Iss. 4s, pp. 1913-1943
Open Access | Times Cited: 1
Machine learning analysis of breast cancer treatment protocols and cycle counts: A case study at Mohammed vi hospital, Morocco
Houda AIT BRAHIM, Salah EL-HADAJ, Abdelmoutalib METRANE
Systems and Soft Computing (2024) Vol. 6, pp. 200097-200097
Open Access | Times Cited: 1
A Hybrid Machine Learning Approach for Enhanced Prediction of Breast Cancer with Lasso Method for Feature Extraction
S. Deepa, S. Prasath, K. S. Mohanasathiya, et al.
(2024), pp. 1-17
Closed Access | Times Cited: 1
Developing a disaster risk index for coastal communities in southwest Bangladesh: Shifting from data-driven models to holistic approaches
Anjum Tasnuva, Quazi Hamidul Bari, Abu Reza Md. Towfiqul Islam, et al.
Ecological Indicators (2024) Vol. 166, pp. 112381-112381
Open Access | Times Cited: 1
Predictive Modeling for Breast Cancer Diagnosis and Prognosis: A Review
Sandhya Samant, Bhargavi Choudhary, Ayushi Ayushi, et al.
(2024), pp. 1829-1833
Closed Access | Times Cited: 1
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