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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:

An assessment of machine learning models and algorithms for early prediction and diagnosis of diabetes using health indicators
Victor Chang, Meghana Ashok Ganatra, Karl Hall, et al.
Healthcare Analytics (2022) Vol. 2, pp. 100118-100118
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

The stratified K-folds cross-validation and class-balancing methods with high-performance ensemble classifiers for breast cancer classification
T R Mahesh, V. Vinoth Kumar, V. Dhilip Kumar, et al.
Healthcare Analytics (2023) Vol. 4, pp. 100247-100247
Open Access | Times Cited: 40
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: 36
Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions
Elarbi Badidi
Future Internet (2023) Vol. 15, Iss. 11, pp. 370-370
Open Access | Times Cited: 28
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: 9
Heart Disease Prediction Using Novel Ensemble and Blending Based Cardiovascular Disease Detection Networks: EnsCVDD-Net and BlCVDD-Net
Hira Khan, Nadeem Javaid, Tariq Bashir, et al.
IEEE Access (2024) Vol. 12, pp. 109230-109254
Open Access | Times Cited: 8
An Application of Natural Language Processing for Hypoglycemic Event Identification in Patients with Diabetes Mellitus
Javier Enrique Camacho-Cogollo, Cristhian Fabricio Sancan Zambrano, Christian Lochmüller, et al.
Healthcare Analytics (2025), pp. 100381-100381
Open Access
Enhancing hydrogen storage efficiency in LaNi4.75Al0.25-based metal hydride reactors using advanced machine learning techniques
Muhammet Kayfeci, Fevzi Bedir, Osman Özkaraca, et al.
Applied Thermal Engineering (2025) Vol. 266, pp. 125778-125778
Closed Access
A predictive analytics approach with Bayesian-optimized gentle boosting ensemble models for diabetes diagnosis
Behnaz Motamedi, Balázs Villányi
Computer Methods and Programs in Biomedicine Update (2025), pp. 100184-100184
Open Access
A risk assessment and prediction framework for diabetes mellitus using machine learning algorithms
Salliah Shafi Bhat, M. Nazreen Banu, Gufran Ahmad Ansari, et al.
Healthcare Analytics (2023) Vol. 4, pp. 100273-100273
Open Access | Times Cited: 15
Stacking ensemble approach to diagnosing the disease of diabetes
Alfredo Daza Vergaray, Carlos Fidel Ponce Sánchez, Gonzalo Apaza-Perez, et al.
Informatics in Medicine Unlocked (2023) Vol. 44, pp. 101427-101427
Open Access | Times Cited: 13
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: 4
A predictive analytics model using machine learning algorithms to estimate the risk of shock development among dengue patients
Jun Kit Chaw, Sook Hui Chaw, Chai Hoong Quah, et al.
Healthcare Analytics (2023) Vol. 5, pp. 100290-100290
Open Access | Times Cited: 12
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction
Ivanoe De Falco, Antonio Della Cioppa, Tomáš Koutný, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 2957-2957
Open Access | Times Cited: 10
Bio-inspired Approach for Early Diabetes Prediction and Diet Recommendation
Anjali Jain, Alka Singhal
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 3
Leveraging Shapley Additive Explanations for Feature Selection in Ensemble Models for Diabetes Prediction
Prasant Mohanty, Sharmila Anand John Francis, Rabindra K. Barik, et al.
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1215-1215
Open Access | Times Cited: 2
A Novel MCDM-Based Framework to Recommend Machine Learning Techniques for Diabetes Prediction
Ajay Kumar, Kamaldeep Kaur
International Journal of Engineering and Technology Innovation (2023) Vol. 14, Iss. 1, pp. 29-43
Open Access | Times Cited: 4
Bayesian Optimization for Sparse Neural Networks With Trainable Activation Functions
Mohamed Fakhfakh, Lotfi Chaâri
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 10, pp. 6699-6712
Open Access | Times Cited: 1
An investigation of the COVID-19 impact on liver cancer using exploratory and predictive analytics
Victor Chang, Rameshwari Mukeshkumar Patel, Meghana Ashok Ganatra, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100309-100309
Open Access | Times Cited: 1
Improving Machine Learning Performance for Diabetes Prediction
Jawad Benabderrahmane, Mohammed Kasri, Inssaf El Guabassi, et al.
Lecture notes in networks and systems (2024), pp. 361-371
Closed Access | Times Cited: 1
The Role of Health Marketing in the Dissemination of AI and ML Application in Preventive Health
L. E. L. de Moura, Bruno Sousa, Cláudia Miranda Veloso
Advances in marketing, customer relationship management, and e-services book series (2024), pp. 81-109
Closed Access | Times Cited: 1
Modelo de inteligencia artificial para la detección temprana de diabetes
William Hoyos, Kenia Hoyos, Rander Ruíz
Biomédica (2023) Vol. 43, Iss. Sp. 3, pp. 110-121
Open Access | Times Cited: 3
A systematic review and applications of how AI evolved in healthcare
K. Divya, R. Kannadasan
Optical and Quantum Electronics (2023) Vol. 56, Iss. 3
Closed Access | Times Cited: 2
Classification, Regression, and Survival Rule Induction with Complex and M-of-N Elementary Conditions
Cezary Maszczyk, Marek Sikora, Łukasz Wróbel
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 554-579
Open Access
Health Insurance Premium Pricing Using Machine Learning Methods
Ahmad Nur Azam Ahmad Ridzuan, Aina Zafirah Azman, Fatin Alya Marzuki, et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology (2024) Vol. 41, Iss. 1, pp. 134-141
Open Access
Enhancing Association Rules using Generative Adversarial Networks for Breast Cancer Classification
Menatalla Haggag, Lubana Al Rayes, Zaher Al Aghbari
(2024), pp. 634-638
Closed Access
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