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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:

Chi-Square and PCA Based Feature Selection for Diabetes Detection with Ensemble Classifier
Vaibhav Rupapara, Furqan Rustam, Abid Ishaq, et al.
Intelligent Automation & Soft Computing (2023) Vol. 36, Iss. 2, pp. 1931-1949
Open Access | Times Cited: 11

Showing 11 citing articles:

A novel approach for breast cancer detection using optimized ensemble learning framework and XAI
Raafat M. Munshi, Lucia Cascone, Nazik Alturki, et al.
Image and Vision Computing (2024) Vol. 142, pp. 104910-104910
Closed Access | Times Cited: 16
Improving Healthcare Prediction of Diabetic Patients Using KNN Imputed Features and Tri-Ensemble Model
Khaled Alnowaiser
IEEE Access (2024) Vol. 12, pp. 16783-16793
Open Access | Times Cited: 11
White blood cells classification using multi-fold pre-processing and optimized CNN model
Oumaima Saidani, Muhammad Umer, Nazik Alturki, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
An automated approach to predict diabetic patients using KNN imputation and effective data mining techniques
Abdulaziz Altamimi, Aisha Ahmed Alarfaj, Muhammad Umer, et al.
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Integrated feature selection and ensemble learning for heart disease detection: a 2-tier approach with ALAN and ET-ABDF machine learning model
Aruna Mandula, Baby Shalini Vijaya Kumar
International Journal of Information Technology (2024) Vol. 16, Iss. 7, pp. 4489-4503
Closed Access | Times Cited: 2
A deep neural network prediction method for diabetes based on Kendall’s correlation coefficient and attention mechanism
Xiaobo Qi, Yachen Lu, Ying Shi, et al.
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0306090-e0306090
Open Access | Times Cited: 1
Impact of Feature Selection Techniques on the Performance of Machine Learning Models for Depression Detection Using EEG Data
Marwa Hassan, Naima Kaabouch
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10532-10532
Open Access | Times Cited: 1
Ensemble Machine Learning for Enhanced Breast Cancer Prediction: A Comparative Study
Md. Mijanur Rahman, Khandoker Humayoun Kobir, Sanjana Akther, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 7
Open Access
Clinical applications of artificial intelligence in diabetes management: A bibliometric analysis and comprehensive review
Alfredo Daza Vergaray, Ander J. Olivos-López, Margarita Chumbirayco Pizarro, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101567-101567
Open Access
TPGPred: A Mixed-Feature-Driven Approach for Identifying Thermophilic Proteins Based on GradientBoosting
Cuihuan Zhao, Shuan Yan, Jiahang Li
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 22, pp. 11866-11866
Open Access
Breast cancer detection employing stacked ensemble model with convolutional features
Hanen Karamti, Raed Alharthi, Muhammad Umer, et al.
Cancer Biomarkers (2023) Vol. 40, Iss. 2, pp. 155-170
Open Access | Times Cited: 1
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