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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:

A machine learning classifier approach for identifying the determinants of under-five child undernutrition in Ethiopian administrative zones
Haile Mekonnen Fenta, Temesgen Zewotir, Essey Kebede Muluneh
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Machine Learning in Nutrition Research
Daniel Kirk, E.J. Kok, Michele Tufano, et al.
Advances in Nutrition (2022) Vol. 13, Iss. 6, pp. 2573-2589
Open Access | Times Cited: 73
Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia
Alemu Birara Zemariam, Ali Yimer, Gebremeskel Kibret Abebe, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Machine Learning Algorithms for understanding the determinants of under-five Mortality
Rakesh Kumar Saroj, Pawan Kumar Yadav, Rajneesh Kumar Singh, et al.
BioData Mining (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 32
Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine Learning Approach
Shimels Derso Kebede, Yakub Sebastian, Abraham Yeneneh Birhanu, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 21
Predicting and identifying factors associated with undernutrition among children under five years in Ghana using machine learning algorithms
Eric Komla Anku, Henry Ofori Duah
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0296625-e0296625
Open Access | Times Cited: 6
Artificial Intelligence in Malnutrition: A Systematic Literature Review
Sander MW Janssen, Yamine Bouzembrak, Bedir Teki̇nerdoğan
Advances in Nutrition (2024) Vol. 15, Iss. 9, pp. 100264-100264
Open Access | Times Cited: 6
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: 13
Predictors of micronutrient deficiency among children aged 6–23 months in Ethiopia: a machine learning approach
Leykun Getaneh Gebeye, Eskezeia Y. Dessie, Jemal Ayalew Yimam
Frontiers in Nutrition (2024) Vol. 10
Open Access | Times Cited: 5
Factors of acute respiratory infection among under-five children across sub-Saharan African countries using machine learning approaches
Haile Mekonnen Fenta, Temesgen Zewotir, Saloshni Naidoo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Machine learning algorithms’ application to predict childhood vaccination among children aged 12–23 months in Ethiopia: Evidence 2016 Ethiopian Demographic and Health Survey dataset
Addisalem Workie Demsash, Alex Ayenew Chereka, Agmasie Damtew Walle, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0288867-e0288867
Open Access | Times Cited: 11
Predicting determinants of modern contraceptive use among reproductive-age women in Ethiopia using machine learning algorithm: Evidence from the Performance Monitoring and Accountability (PMA) Survey 2019 dataset
Jibril Bashir Adem, Shimels Derso Kebede, Agmasie Damtew Walle, et al.
F1000Research (2025) Vol. 14, pp. 99-99
Open Access
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
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
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
Explainable machine learning algorithms to identify predictors of intention to use family planning among women of reproductive-age in Ethiopia: Evidence from the Performance Monitoring and Accountability (PMA) 2021 survey data set
Jibril Bashir Adem, Tewodros Desalegn Nebi, Agmasie Damtew Walle, et al.
BMJ Public Health (2025) Vol. 3, Iss. 1, pp. e000962-e000962
Open Access
Enhancing Nutritional Status Prediction through Attention-Based Deep Learning and Explainable AI
Heru Agus Santoso, Nur Setiawati Dewi, Su-Cheng Haw, et al.
Intelligence-Based Medicine (2025), pp. 100255-100255
Open Access
Using best performance machine learning algorithm to predict child death before celebrating their fifth birthday
Addisalem Workie Demsash
Informatics in Medicine Unlocked (2023) Vol. 40, pp. 101298-101298
Open Access | Times Cited: 10
Developing and demonstrating an atomistic and holistic model of anthropometric failure among children under five years of age using the National Family Health Survey (NFHS)-5 data from India
E. R. Nandeep, Abdul Jaleel, P. Bhaskar Reddy, et al.
Frontiers in Nutrition (2024) Vol. 10
Open Access | Times Cited: 3
Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset
Samuel Oduse, Temesgen Zewotir, Delia North
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Prediction of incomplete immunization among under-five children in East Africa from recent demographic and health surveys: a machine learning approach
Zinabu Bekele Tadese, Araya Mesfin Nigatu, Tirualem Zeleke Yehuala, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Identifying Potential Factors Associated with High HIV viral load in KwaZulu-Natal, South Africa using Multiple Correspondence Analysis and Random Forest Analysis
Adenike Soogun, Ayesha B. M. Kharsany, Temesgen Zewotir, et al.
BMC Medical Research Methodology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 14
A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery
Zakir Hussain, Malaya Dutta Borah
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 2
A hybrid ensemble approach to accelerate the classification accuracy for predicting malnutrition among under-five children in sub-Saharan African countries
Md. Nafiul Alam Khan, Rossita Mohamad Yunus
Nutrition (2022) Vol. 108, pp. 111947-111947
Closed Access | Times Cited: 10
Spatial regression models to assess variations of composite index for anthropometric failure across the administrative zones in Ethiopia
Haile Mekonnen Fenta, Temesgen Zewotir, Essey Kebede Muluneh
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0282463-e0282463
Open Access | Times Cited: 1
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