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:

How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.
Heather Gunn, Panteha Hayati Rezvan, M. Isabel Fernández, et al.
Psychological Methods (2022) Vol. 28, Iss. 2, pp. 452-471
Open Access | Times Cited: 18

Showing 18 citing articles:

Problem of pain in the USA: evaluating the generalisability of high-impact chronic pain models over time using National Health Interview Survey (NHIS) data
Titilola Falasinnu, Md. Belal Hossain, Mohammad Ehsanul Karim, et al.
BMJ Public Health (2025) Vol. 3, Iss. 1, pp. e001628-e001628
Open Access

Using Machine Learning to Identify Social Determinants of Health that Impact Discharge Disposition for Hospitalized Patients
Ren He, Chun Wang, David J. Weiss, et al.
Journal of the American Medical Directors Association (2025) Vol. 26, Iss. 5, pp. 105524-105524
Closed Access

Electronic health records and stratified psychiatry: bridge to precision treatment?
Adrienne Grzenda, Alik S. Widge
Neuropsychopharmacology (2023) Vol. 49, Iss. 1, pp. 285-290
Open Access | Times Cited: 8

A Tutorial on Supervised Machine Learning Variable Selection Methods for the Social and Health Sciences in R
Catherine Bain, Dingjing Shi, Jordan E. Loeffelman, et al.
(2024)
Open Access | Times Cited: 2

Predicting implementation of response to intervention in math using elastic net logistic regression
Qi Wang, Garret J. Hall, Qian Zhang, et al.
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 1

Predicting the Performance of Students Using Deep Ensemble Learning
Bo Tang, Senlin Li, Changhua Zhao
Journal of Intelligence (2024) Vol. 12, Iss. 12, pp. 124-124
Open Access | Times Cited: 1

Intelligence System via Machine Learning Algorithms in Detecting the Moisture Content Removal Parameters of Seaweed Big Data
Olayemi Joshua Ibidoja, Fam Pei Shan, Mukhtar Eri Suheri, et al.
Pertanika journal of science & technology (2023) Vol. 31, Iss. 6, pp. 2783-2803
Open Access | Times Cited: 3

A Tutorial on Supervised Machine Learning Variable Selection Methods for the Social and Health Sciences in R
Catherine Bain, Dingjing Shi, Lauren E. Ethridge, et al.
Research Square (Research Square) (2024)
Open Access

Investigating Variable Selection Techniques Under Missing Data: A Simulation Study
Catherine Bain, Dingjing Shi
Springer proceedings in mathematics & statistics (2024), pp. 109-119
Closed Access

Revisiting the Problem of Missing Values in High-Dimensional Data and Feature Selection Effect
Marina G. Elia, Wenting Duan
IFIP advances in information and communication technology (2024), pp. 201-213
Closed Access

Predicting the technological impact of papers: Exploring optimal models and most important features
Xingyu Gao, Qiang Wu, Yuanyuan Liu, et al.
Journal of Information Science (2024)
Closed Access

Considerations for the use of plausible values in large-scale assessments
Paul A. Jewsbury, Yue Jia, E. González
Large-scale Assessments in Education (2024) Vol. 12, Iss. 1
Open Access

Identifying Treatment Responders to Varenicline for Alcohol Use Disorder Using Two Machine-Learning Approaches
Erica N. Grodin, Amanda Kay Montoya, Alondra Cruz, et al.
Clinical Psychological Science (2023) Vol. 12, Iss. 1, pp. 133-146
Open Access

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