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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:

A New Approach of Hybrid Sampling SMOTE and ENN to the Accuracy of Machine Learning Methods on Unbalanced Diabetes Disease Data
Hairani Hairani, Dadang Priyanto
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 11

Showing 11 citing articles:

Hi-Le and HiTCLe: Ensemble Learning Approaches for Early Diabetes Detection Using Deep Learning and Explainable Artificial Intelligence
Ifra Shaheen, Nadeem Javaid, Nabil Alrajeh, et al.
IEEE Access (2024) Vol. 12, pp. 66516-66538
Open Access | Times Cited: 8
Addressing imbalanced data classification with Cluster-Based Reduced Noise SMOTE
Javad Hemmatian, Rassoul Hajizadeh, Fakhroddin Nazari
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0317396-e0317396
Open Access
Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction
Waqar A. Sulaiman, Charithea Stylianides, Athanasia Nikolaou, et al.
Frontiers in Digital Health (2025) Vol. 6
Open Access
Predicting diabetes in adults: identifying important features in unbalanced data over a 5-year cohort study using machine learning algorithm
Maryam Talebi Moghaddam, Yunes Jahani, Zahra Arefzadeh, et al.
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Multi-class random forest model to classify wastewater treatment imbalanced data
Veronica Distefano, Monica Palma, Sandra De Iaco
Socio-Economic Planning Sciences (2024) Vol. 95, pp. 102021-102021
Open Access | Times Cited: 3
Handling Imbalance Data using Hybrid Sampling SMOTE-ENN in Lung Cancer Classification
Muhammad Abdul Latief, Luthfi Rakan Nabila, Wildan Miftakhurrahman, et al.
International Journal of Engineering and Computer Science Applications (IJECSA) (2024) Vol. 3, Iss. 1, pp. 11-18
Open Access | Times Cited: 1
Optimizing the Production of Valuable Metabolites using a Hybrid of Constraint-based Model and Machine Learning Algorithms: A Review
Kauthar Mohd Daud, Ridho Ananda, Suhaila Zainudin, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 10
Open Access | Times Cited: 4
Machine Learning Approaches for Multi-Class Classification of Skin Cancer
Sai Sreeya Khuntia, Adarsha Swain, Swetapadma Das, et al.
(2024), pp. 1-6
Closed Access
Identifying Key Learning Algorithm Parameter of Forward Feature Selection to Integrate with Ensemble Learning for Customer Churn Prediction
Sabahat Tasneem, Muhammad Younas, Qasim Shafiq
VFAST Transactions on Software Engineering (2024) Vol. 12, Iss. 2, pp. 56-75
Open Access
Feature Selection and Hybrid Sampling with Machine Learning Methods for Health Data Classification
Hairani Hairani, Triyanna Widiyaningtyas, Didik Dwi Prasetya
Revue d intelligence artificielle (2024) Vol. 38, Iss. 4, pp. 1255-1261
Open Access
Developing Early Warning Score With Structured Methodology Using Decision Trees Based On Patients' Clinical Data
Putri Ayu Nisa Az Zahra, Tessy Badriyah, Selvia Ferdiana Kusuma
2022 International Electronics Symposium (IES) (2024), pp. 442-448
Closed Access
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