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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:

Prediction of diabetes disease using an ensemble of machine learning multi-classifier models
Karlo Abnoosian, Rahman Farnoosh, Mohammad Hassan Behzadi
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review
Zahra Mohtasham‐Amiri, Arash Heidari, Mohammad Zavvar, et al.
Transactions on Emerging Telecommunications Technologies (2024) Vol. 35, Iss. 6
Closed 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
The applications of machine learning mechanisms in the compositions of internet of things services: A systematic study, current progress, and future research agenda
J.-H Lu, Weisha Zhang, Marzieh Hamzei, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110345-110345
Closed Access
Explainable deep learning for diabetes diagnosis with DeepNetX2
Sharia Arfin Tanim, Al Rafi Aurnob, Tahmid Enam Shrestha, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106902-106902
Closed Access | Times Cited: 4
A robust and generalized framework in diabetes classification across heterogeneous environments
H. Zhou, Saifur Rahman, Maia Angelova, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109720-109720
Open Access
Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019
Jenberu Mekurianew Kelkay, Deje Sendek Anteneh, Henok Dessie Wubneh, et al.
BMC Pregnancy and Childbirth (2025) Vol. 25, Iss. 1
Open Access
Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis
Mahreen Kiran, Ying Xie, Nasreen Anjum, et al.
Frontiers in Digital Health (2025) Vol. 7
Open Access
Machine learning models for predicting metabolic dysfunction-associated steatotic liver disease prevalence using basic demographic and clinical characteristics
Gangfeng Zhu, Yipeng Song, Zenghong Lu, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Analyzing classification and feature selection strategies for diabetes prediction across diverse diabetes datasets
Jayakumar Kaliappan, Indrajeet Kumar, S. Sundaravelan, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 3
Attention-Oriented CNN Method for Type 2 Diabetes Prediction
Zhao Jian, Hanlin Gao, Y. Chen, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 3989-3989
Open Access | Times Cited: 3
Development and Validation of Machine Learning Models for Identifying Prediabetes and Diabetes in Normoglycemia
Xiaodong Zhang, Weidong Yao, Dawei Wang, et al.
Diabetes/Metabolism Research and Reviews (2024) Vol. 40, Iss. 8
Open Access | Times Cited: 2
Machine Learning Analysis of Factors Contributing to Diabetes Development
Edgar Ceh-Varela, Larry Maes, Sarbagya Ratna Shakya
Cloud Computing and Data Science (2024), pp. 157-182
Open Access | Times Cited: 1
A Comprehensive Study of Deep Learning Techniques to Predict Dissimilar Diseases in Diabetes Mellitus Using IoT
Ramesh Balaraju, Kuruva Lakshmanna
Recent Advances in Computer Science and Communications (2024) Vol. 17, Iss. 4
Closed Access | Times Cited: 1
An optimal method for diagnosing heart disease using combination of grasshopper evalutionary algorithm and support vector machines
Zhou Wei, Hongbo Liu, Rui Zhou, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e30363-e30363
Open Access | Times Cited: 1
Diabetes Prediction and Classification Using Self-adaptive Evolutionary Algorithm with Convolutional Neural Network
Suhas Kamshetty Chinnababu, Anandababu Jayachandra
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 460-472
Open Access | Times Cited: 1
A robust innovative pipeline-based machine learning framework for predicting COVID-19 in Mexican patients
Rahman Farnoosh, Karlo Abnoosian
International Journal of Systems Assurance Engineering and Management (2024) Vol. 15, Iss. 7, pp. 3466-3484
Closed Access | Times Cited: 1
A predictive machine learning framework for diabetes
Danjuma Dan-Adam Maza, Joshua Olufemi Ojo, Grace Olubunmi Akinlade
Turkish Journal of Engineering (2024) Vol. 8, Iss. 3, pp. 583-592
Open Access | Times Cited: 1
Automatic categorization of medical documents in Afaan Oromo using ensemble machine learning techniques
Etana Fikadu Dinsa, Mrinal Kanti Das, Teklu Urgessa Abebe, et al.
Deleted Journal (2024) Vol. 6, Iss. 11
Open Access | Times Cited: 1
Use of Machine Learning to Predict the Incidence of Type 2 Diabetes Among Relatively Healthy Adults: A 10-Year Longitudinal Study in Taiwan
Y.-M. Liu, Taeun Chang, Lung-Chun Lee, et al.
Diagnostics (2024) Vol. 15, Iss. 1, pp. 72-72
Open Access | Times Cited: 1
A comparative study of ensemble machine learning algorithms for brucellosis disease prediction
Mokammel Hossain Tito, Md Arifuzzaman, Most Hoor E. Jannat, et al.
Deleted Journal (2023) Vol. 3, Iss. 2, pp. 23-27
Open Access | Times Cited: 3
A Smart Healthcare Diabetes Prediction System Using Ensemble of Classifiers
Ayush Yadav, N. G. Bhuvaneswari Amma
Advances in media, entertainment and the arts (AMEA) book series (2024), pp. 118-133
Closed Access
Therapeutic Decision Making in Prevascular Mediastinal Tumors Using CT Radiomics and Clinical Features: Upfront Surgery or Pretreatment Needle Biopsy?
Chao‐Chun Chang, Chia-Ying Lin, Yi‐Sheng Liu, et al.
Cancers (2024) Vol. 16, Iss. 4, pp. 773-773
Open Access
Prediction of spirometry parameters of adult Indian population using machine learning technology
Arkaprabha Sau, Santanu Phadikar, Ishita Bhakta
Multimedia Tools and Applications (2024) Vol. 83, Iss. 32, pp. 78023-78057
Closed Access
Diabetes Prediction Using Novel Machine Learning Methods
Simran Saikia, Jonti Deuri, Riya Deka, et al.
Advances in computer and electrical engineering book series (2024), pp. 143-162
Closed Access
Improvement in Prediction to Predict Diabetes for Improved Healthcare
Davinder Singh
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 5, pp. 5443-5462
Open Access
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