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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:

Increasing transparency in machine learning through bootstrap simulation and shapely additive explanations
Alexander A. Huang, Samuel Y. Huang
PLoS ONE (2023) Vol. 18, Iss. 2, pp. e0281922-e0281922
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Artificial Intelligence for Quantitative Modeling in Drug Discovery and Development: An Innovation and Quality Consortium Perspective on Use Cases and Best Practices
Nadia Terranova, Didier Renard, Mohamed H. Shahin, et al.
Clinical Pharmacology & Therapeutics (2023) Vol. 115, Iss. 4, pp. 658-672
Open Access | Times Cited: 21
Deep Learning Approaches for Medical Image Analysis and Diagnosis
Gopal Kumar Thakur, Abhishek Thakur, Shridhar Kulkarni, et al.
Cureus (2024)
Open Access | Times Cited: 8
Identify the underlying true model from other models for clinical practice using model performance measures
Yan Li
BMC Medical Research Methodology (2025) Vol. 25, Iss. 1
Open Access
Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform?
Godsway Edem Kpene, Sylvester Yao Lokpo, Sandra A. Darfour-Oduro
BMC Endocrine Disorders (2025) Vol. 25, Iss. 1
Open Access
An in-depth study of indolone derivatives as potential lung cancer treatment
Mohammed Er-rajy, Mohamed El fadili, Radwan Alnajjar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Endoscopic ultrasonography-based intratumoral and peritumoral machine learning ultrasomics model for predicting the pathological grading of pancreatic neuroendocrine tumors
Shuangyang Mo, Cheng Huang, Yingwei Wang, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016
Yuzhen Zhang, Haiying Wu, Richard Ma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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: 5
Dendrogram of transparent feature importance machine learning statistics to classify associations for heart failure: A reanalysis of a retrospective cohort study of the Medical Information Mart for Intensive Care III (MIMIC-III) database
Alexander A. Huang, Samuel Y. Huang
PLoS ONE (2023) Vol. 18, Iss. 7, pp. e0288819-e0288819
Open Access | Times Cited: 12
Association between neutrophil to high-density lipoprotein cholesterol ratio (NHR) and depression symptoms among the United States adults: a cross-sectional study
Guangwei Qing, Cheng Bao, Yuan‐Han Yang, et al.
Lipids in Health and Disease (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 3
Predicting risk of obesity in overweight adults using interpretable machine learning algorithms
Wei Lin, Songchang Shi, Huibin Huang, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 10
Exploring Depression and Nutritional Covariates Amongst US Adults using Shapely Additive Explanations
Alexander A. Huang, Samuel Y. Huang
Health Science Reports (2023) Vol. 6, Iss. 10
Open Access | Times Cited: 8
A Systematic Review of Artificial Intelligence Applications in the Management of Lung Disorders
Akbar Hussain, Stanley Marlowe, Muhammad Shaiq Ali, et al.
Cureus (2024)
Open Access | Times Cited: 2
Machine learning in transfusion medicine: A scoping review
Suzanne Maynard, Joseph Farrington, Samah Alimam, et al.
Transfusion (2023) Vol. 64, Iss. 1, pp. 162-184
Open Access | Times Cited: 7
Enhancing digital health services: A machine learning approach to personalized exercise goal setting
Ji Fang, Vincent C. S. Lee, Hao Ji, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 1
Use of feature importance statistics to accurately predict asthma attacks using machine learning: A cross-sectional cohort study of the US population
Alexander A. Huang, Samuel Y. Huang
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0288903-e0288903
Open Access | Times Cited: 5
Comparison of model feature importance statistics to identify covariates that contribute most to model accuracy in prediction of insomnia
Alexander A. Huang, Samuel Y. Huang
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0306359-e0306359
Open Access | Times Cited: 1
Association Between Non-High-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio (NHHR) and the Risk of Post-Stroke Depression: A Cross-Sectional Study
Benbo Xiong, Zhiming Li, Shanyu Zhang, et al.
Journal of Stroke and Cerebrovascular Diseases (2024) Vol. 33, Iss. 11, pp. 107991-107991
Closed Access | Times Cited: 1
Predictive modeling of lean body mass, appendicular lean mass, and appendicular skeletal muscle mass using machine learning techniques: A comprehensive analysis utilizing NHANES data and the Look AHEAD study
Daniel Olshvang, Carl Harris, Rama Chellappa, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0309830-e0309830
Open Access | Times Cited: 1
Increasing Trends of Artificial Intelligence With Robotic Process Automation in Health Care: A Narrative Review
Prashant Nimkar, Deepika Kanyal, Shantanu R Sabale
Cureus (2024)
Open Access | Times Cited: 1
Modeling health risks using neural network ensembles
Brandon M. Smith, Antonio Criminisi, Noam Sorek, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0308922-e0308922
Open Access | Times Cited: 1
Early Recognition of Secondary Asthma Caused by Lower Respiratory Tract Infection in Children Based on Multi-Omics Signature: A Retrospective Cohort Study
Zihe Rao, Shuqin Zhang, Wenlin Xu, et al.
International Journal of General Medicine (2024) Vol. Volume 17, pp. 6229-6241
Open Access | Times Cited: 1
Technical Report: Machine-Learning Pipeline for Medical Research and Quality-Improvement Initiatives
Alexander A. Huang, Samuel Y. Huang
Cureus (2023)
Open Access | Times Cited: 4
Diabetes is associated with increased risk of death in COVID‐19 hospitalizations in Mexico 2020: A retrospective cohort study
Alexander A. Huang, Samuel Y. Huang
Health Science Reports (2023) Vol. 6, Iss. 7
Open Access | Times Cited: 2
Stochastic modeling of obesity status in United States adults using Markov Chains: A nationally representative analysis of population health data from 2017–2020
Alexander A. Huang, Samuel Y. Huang
Obesity Science & Practice (2023) Vol. 9, Iss. 6, pp. 653-660
Open Access | Times Cited: 2
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