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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:

Predictive Modeling and Analytics for Diabetes using Hyperparameter tuned Machine Learning Techniques
Subhash Chandra Gupta, Noopur Goel
Procedia Computer Science (2023) Vol. 218, pp. 1257-1269
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

A robust predictive diagnosis model for diabetes mellitus using Shapley-incorporated machine learning algorithms
Chukwuebuka Joseph Ejiyi, Zhen Qin, Joan Amos, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100166-100166
Open Access | Times Cited: 42
Different applications of machine learning approaches in materials science and engineering: Comprehensive review
Yan Cao, Ali Taghvaie Nakhjiri, Mahdi Ghadiri
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108783-108783
Closed Access | Times Cited: 16
An Innovative Ensemble Deep Learning Clinical Decision Support System for Diabetes Prediction
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
IEEE Access (2024) Vol. 12, pp. 106193-106210
Open Access | Times Cited: 7
Groundwater Quality Assessment Based on the Random Forest Water Quality Index—Taking Karamay City as an Example
Yanna Xiong, Tianyi Zhang, Xi Sun, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14477-14477
Open Access | Times Cited: 10
An Effective Methodology for Diabetes Prediction in the Case of Class Imbalance
Borislava Toleva, I. Atanasov, Ivan Ivanov, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 35-35
Open Access
Ensemble machine learning approaches for estimating soil texture components in loess soils of Golestan Province
Soraya Bandak, Abdolhossein Boali, Soraya Yaghobi, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Feature extraction-reduction and machine learning for fault diagnosis in PV panels
Bassel Chokr, Nizar Chatti, Abdérafi Charki, et al.
Solar Energy (2023) Vol. 262, pp. 111918-111918
Open Access | Times Cited: 9
A Combinatorial Approach to Hyperparameter Optimization
Krishna Khadka, Jaganmohan Chandrasekaran, Yu Lei, et al.
(2024) Vol. 13, pp. 140-149
Open Access | Times Cited: 3
Integrating Innovation in Healthcare: The Evolution of “CURA’s” AI-Driven Virtual Wards for Enhanced Diabetes and Kidney Disease Monitoring
Mohammed Aljaafari, Shorouk E. El-deep, Amr A. Abohany, et al.
IEEE Access (2024) Vol. 12, pp. 126389-126414
Open Access | Times Cited: 3
Improved Diabetes Prediction with Reduced Feature Sets: Evaluating Feature Selection Techniques in Machine Learning
Soumik Datta, S. M. Mahedy Hasan, Md. Farukuzzaman Faruk, et al.
(2023), pp. 104-108
Closed Access | Times Cited: 8
Machine Learning Classification of Roasted Arabic Coffee: Integrating Color, Chemical Compositions, and Antioxidants
Eman Alamri, Ghada Altarawneh, Hala M. Bayomy, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11561-11561
Open Access | Times Cited: 4
An evaluation framework for diabetes prediction techniques using machine learning
Aya Ahmed Hashim, Ayad Hameed Mousa
BIO Web of Conferences (2024) Vol. 97, pp. 00125-00125
Open Access | Times Cited: 1
Exploring The Efficiency of Metaheuristics in Optimal Hyperparameter Tuning for Ensemble Models on Varied Data Modalities
Vivek BC
EAI endorsed transactions on intelligent systems and machine learning applications. (2024) Vol. 1
Closed Access | Times Cited: 1
e-Diagnostic system for diabetes disease prediction on an IoMT environment-based hyper AdaBoost machine learning model
Abdulrahman Ahmed Jasim, Layth Rafea Hazim, Hayder Mohammedqasim, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 11, pp. 15664-15689
Open Access | Times Cited: 1
Comparison of gridsearchcv and bayesian hyperparameter optimization in random forest algorithm for diabetes prediction
Rini Muzayanah, Dwika Ananda Agustina Pertiwi, Muazam Ali, et al.
Journal of Soft Computing Exploration (2024) Vol. 5, Iss. 1, pp. 86-91
Open Access | Times Cited: 1
Peningkatan Deep Neural Network pada Kasus Prediksi Diabetes Menggunakan PSO
Rusmal Firmansyah, Guruh Fajar Shidik
Techno Com (2023) Vol. 22, Iss. 4, pp. 882-892
Open Access | Times Cited: 1
Diabetes Risk Prediction Through Fine-Tuned Gradient Boosting
Pooja Rani, Rohit Lamba, Ravi Kumar Sachdeva, et al.
Communications in computer and information science (2024), pp. 135-147
Closed Access
Critical Factor Analysis for prediction of Diabetes Mellitus using an Inclusive Feature Selection Strategy
E. Sreehari, L. D. Dhinesh Babu
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access
A Comparative Study of Classification Models for Cyberbullying Detection
Mritunjay Kumar Ojha, Nilesh Patil, Manuj Joshi
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed 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
Implementación de mapas cognitivos difusos con algoritmos genéticos para predecir diabetes mellitus tipo 2
William Hoyos, Rander Ruíz, Kenia Hoyos
TecnoLógicas (2024) Vol. 27, Iss. 60, pp. e3061-e3061
Open Access
Predictive Modeling for Diabetic Management: A Machine Learning Approach
U. Poorna Lakshmi, K. Chitra
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 122-125
Open Access
Roasted Arabic Coffee Classification Based on Color, Chemical Compositions and Antioxidants Using Machine Learning
Eman Alamri, Ghada Altarawneh, Hala M. Bayomy, et al.
(2023)
Open Access | Times Cited: 1
Comparison of SVM, Naive Bayes, and ELM Models in Plant Growth Classification
Muhammad Muflih, Silvia Ratna, Haldi Budiman, et al.
INTI JOURNAL. (2024) Vol. 2022, Iss. 1
Open Access
PERBANDINGAN BERBAGAI MODEL MACHINE LEARNING UNTUK MENDETEKSI DIABETES
Ahmad Ridwan, Gilang Dwi Setyawan
TEKNOKOM (2023) Vol. 6, Iss. 2, pp. 127-132
Open Access
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