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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:

On the Scalability of Machine-Learning Algorithms for Breast Cancer Prediction in Big Data Context
Sara Alghunaim, Heyam H. Al-Baity
IEEE Access (2019) Vol. 7, pp. 91535-91546
Open Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

Prediction of Breast Cancer, Comparative Review of Machine Learning Techniques, and Their Analysis
Noreen Fatima, Li Liu, Sha Hong, et al.
IEEE Access (2020) Vol. 8, pp. 150360-150376
Open Access | Times Cited: 173
A mini-review of machine learning in big data analytics: Applications, challenges, and prospects
Isaac Kofi Nti, Juanita Ahia Quarcoo, Justice Aning, et al.
Big Data Mining and Analytics (2022) Vol. 5, Iss. 2, pp. 81-97
Open Access | Times Cited: 92
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm
Shafaq Abbas, Zunera Jalil, Abdul Rehman Javed, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e390-e390
Open Access | Times Cited: 101
BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches
Pinakshi Panda, Sukant Kishoro Bisoy, Amrutanshu Panigrahi, et al.
Frontiers in Genetics (2025) Vol. 15
Open Access | Times Cited: 1
A Comprehensive Review Study on: Optimized Data Mining, Machine Learning and Deep Learning Techniques for Breast Cancer Prediction in Big Data Context
Madhu Kirola, Minakshi Memoria, Ankur Dumka, et al.
Biomedical & Pharmacology Journal (2022) Vol. 15, Iss. 1, pp. 13-25
Closed Access | Times Cited: 23
Application of an improved LightGBM hybrid integration model combining gradient harmonization and Jacobian regularization for breast cancer diagnosis
Xiaoyan Sun
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Role of Machine Learning for Big Data Applications
Yashi Chaudhary, Heman Pathak
Advances in intelligent systems and computing (2025), pp. 223-235
Closed Access
Predicting breast cancer survivability based on machine learning and features selection algorithms: a comparative study
Sahar A. El Rahman
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 8, pp. 8585-8623
Closed Access | Times Cited: 30
PCA-DNN: A Novel Deep Neural Network Oriented System for Breast Cancer Classification
Pooja Rani, Rajneesh Kumar, Anurag Jain, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2023) Vol. 9
Open Access | Times Cited: 9
A Predictive Performance Analysis of Vitamin D Deficiency Severity Using Machine Learning Methods
G. Sambasivam, J. Amudhavel, G. Sathya
IEEE Access (2020) Vol. 8, pp. 109492-109507
Open Access | Times Cited: 22
HBS–STACK: hierarchical biomarker selection and stacked ensemble model for biomarker identification and cancer prediction on multi-omics
A.P. Dhillon, Ashima Singh, Vinod K. Bhalla
Neural Computing and Applications (2024) Vol. 36, Iss. 10, pp. 5413-5431
Closed Access | Times Cited: 2
HBO-GMRNN: Honey badger optimization based gain modulated recurrent neural network for classification of breast cancer
Vidhya Anbalagan, Vanathi Balasubramanian
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105910-105910
Closed Access | Times Cited: 2
Screening model of candidate drugs for breast cancer based on ensemble learning algorithm and molecular descriptor
Lihua Shi, Fang Yan, Haihong Liu
Expert Systems with Applications (2022) Vol. 213, pp. 119185-119185
Closed Access | Times Cited: 11
A Cloud-Based Predictive Model for the Detection of Breast Cancer
Kuldeep Pathoee, Deepesh Rawat, Anupama Mishra, et al.
International Journal of Cloud Applications and Computing (2022) Vol. 12, Iss. 1, pp. 1-12
Closed Access | Times Cited: 10
Graph Based Feature Selection for Reduction of Dimensionality in Next-Generation RNA Sequencing Datasets
Consolata Gakii, Paul O. Mireji, Richard Rimiru
Algorithms (2022) Vol. 15, Iss. 1, pp. 21-21
Open Access | Times Cited: 9
A Review: Data Mining Classification Techniques
Archika Jain, Devendra Somwanshi, Kapil Joshi, et al.
2022 3rd International Conference on Intelligent Engineering and Management (ICIEM) (2022), pp. 636-642
Closed Access | Times Cited: 9
A New Range-based Breast Cancer Prediction Model Using the Bayes' Theorem and Ensemble Learning
Sam Khozama, Ali Mayya
Information Technology And Control (2022) Vol. 51, Iss. 4, pp. 757-770
Open Access | Times Cited: 9
Classification of chronic kidney disease based on machine learning techniques
Moataz Mohamed El Sherbiny, Eman AbdElhalim, Hossam E. Mostafa, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 32, Iss. 2, pp. 945-945
Open Access | Times Cited: 5
AITeQ: a machine learning framework for Alzheimer’s prediction using a distinctive five-gene signature
Ishtiaque Ahammad, Anika Bushra Lamisa, Arittra Bhattacharjee, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 1
Assessing the relative importance of vitamin D deficiency in cardiovascular health
Maira Rubab, John D. Kelleher
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access | Times Cited: 1
Machine Learning Based Decision Support System for the Diagnosis of Breast Cancer
İlker Çakar, Muhammed Kürşad Uçar
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 1472-1501
Open Access | Times Cited: 1
Predicting Breast Cancer using Machine Learning Classifiers and Enhancing the Output by Combining the Predictions to Generate Optimal F1-Score
Disha H. Parekh, Vishal Dahiya
Biomedical and Biotechnology Research Journal (BBRJ) (2021) Vol. 5, Iss. 3, pp. 331-334
Closed Access | Times Cited: 11
Feature Selection based Breast Cancer Prediction
Rakibul Hasan, Aamir Shafi
International Journal of Image Graphics and Signal Processing (2023) Vol. 15, Iss. 2, pp. 13-23
Open Access | Times Cited: 4
Breast Cancer Classification Using Machine Learning Algorithms
Simran Sharma, Sachin Deshpande
Lecture notes in networks and systems (2020), pp. 571-578
Closed Access | Times Cited: 11
Breast Cancer Identification from Patients’ Tweet Streaming Using Machine Learning Solution on Spark
Nahla F. Omran, Sara F. Abd-el Ghany, Hager Saleh, et al.
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 9
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