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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:

Machine Learning Algorithms for Predicting Stunting among Under-Five Children in Papua New Guinea
Hao Shen, Hang Zhao, Yi Jiang
Children (2023) Vol. 10, Iss. 10, pp. 1638-1638
Open Access | Times Cited: 12

Showing 12 citing articles:

Performance Prediction Using Cross Validation (GridSearchCV) for Stunting Prevalence
Taufik Hidayat, Danny Manongga, Hendry Hendry, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 8
Prediction of stunting and its socioeconomic determinants among adolescent girls in Ethiopia using machine learning algorithms
Alemu Birara Zemariam, Biruk Beletew Abate, Addis Wondmagegn Alamaw, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316452-e0316452
Open Access
A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks
Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta
BioData Mining (2025) Vol. 18, Iss. 1
Open Access
Social and economic predictors of under-five stunting in Mexico: a comprehensive approach through the XGB model
Brian J. Fogarty, Angélica García-Martínez, Nitesh V. Chawla, et al.
Journal of Global Health (2025) Vol. 15
Open Access
Machine Learning in Predicting Child Malnutrition: A Meta-Analysis of Demographic and Health Surveys Data
Bhagyajyothi Rao, Muhammed Rashid, Md. Gulzarul Hasan, et al.
International Journal of Environmental Research and Public Health (2025) Vol. 22, Iss. 3, pp. 449-449
Open Access
The use of machine learning in paediatric nutrition
Aneurin Young, Mark J. Johnson, R. Mark Beattie
Current Opinion in Clinical Nutrition & Metabolic Care (2024) Vol. 27, Iss. 3, pp. 290-296
Closed Access
Predictive Power of AI: Tackling Child Undernutrition in Morocco
Mustapha Berrouyne, Hinde Hami, Youness Jouilil
(2024), pp. 1-8
Closed Access
An early prediction model for toddler nutrition based on machine learning from imbalanced data
Eka Miranda, Mediana Aryuni, Alfi Yusrotis Zakiyyah, et al.
Procedia Computer Science (2024) Vol. 245, pp. 263-271
Open Access
Comprehensive Review of Machine Learning Applications on the DHS Dataset Across Multiple Countries
Asifa Kamal, Noor Shahid, Jacob Amir, et al.
STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health (2024), pp. 1-28
Closed Access
Development of a diagnostic predictive model for determining child stunting in Malawi: a comparative analysis of variable selection approaches
Jonathan Mkungudza, Halima S. Twabi, Samuel Manda
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access
Implementation of PC Algorithm to the Incidence Factor of Stunting Disease
Yohani Setiya Rafika Nur, Dasril Aldo, Aminatus Sa’adah, et al.
(2024), pp. 93-98
Closed Access
Hybrid Machine Learning for Stunting Prevalence: A Novel Comprehensive Approach to Its Classification, Prediction, and Clustering Optimization in Aceh, Indonesia
Novia Hasdyna, Rozzi Kesuma Dinata, Rahmi Rahmi, et al.
Informatics (2024) Vol. 11, Iss. 4, pp. 89-89
Open Access
Prediction of undernutrition and identification of its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms
Md Merajul Islam, Nobab Md. Shoukot Jahan Kibria, Sujit Kumar, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0315393-e0315393
Open Access
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