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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:

Use of natural language processing to improve predictive models for imaging utilization in children presenting to the emergency department
Xingyu Zhang, Fernanda Bellolio, Pau Medrano−Gracia, et al.
BMC Medical Informatics and Decision Making (2019) Vol. 19, Iss. 1
Open Access | Times Cited: 23

Showing 23 citing articles:

Racial and Ethnic Differences in Emergency Department Diagnostic Imaging at US Children’s Hospitals, 2016-2019
Jennifer R. Marín, Jonathan Rodean, Matt Hall, et al.
JAMA Network Open (2021) Vol. 4, Iss. 1, pp. e2033710-e2033710
Open Access | Times Cited: 96
Use of machine learning approach to predict depression in the elderly in China: A longitudinal study
Dai Su, Xingyu Zhang, Kevin He, et al.
Journal of Affective Disorders (2020) Vol. 282, pp. 289-298
Open Access | Times Cited: 93
Using machine learning approach to predict depression and anxiety among patients with epilepsy in China: A cross-sectional study
Zihan Wei, Xinpei Wang, Lei Ren, et al.
Journal of Affective Disorders (2023) Vol. 336, pp. 1-8
Closed Access | Times Cited: 17
Applications of natural language processing at emergency department triage: A narrative review
Jonathon Stewart, Juan Lü, Adrian Goudie, et al.
PLoS ONE (2023) Vol. 18, Iss. 12, pp. e0279953-e0279953
Open Access | Times Cited: 15
The predictive role of physical activity and sedentary behavior on adolescent depressive symptoms: A machine learning approach
Lin Li, Danqi Guo, Chengchao Shi, et al.
Journal of Affective Disorders (2025)
Closed Access
Machine learning-driven prediction of hospital admissions using gradient boosting and GPT-2
Xingyu Zhang, Hairong Wang, Yu Guan, et al.
Digital Health (2025) Vol. 11
Open Access
Prediction of acute appendicitis among patients with undifferentiated abdominal pain at emergency department
Dai Su, Qinmengge Li, Tao Zhang, et al.
BMC Medical Research Methodology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 18
Rational Usage of Fracture Imaging in Children and Adolescents
R. Kraus, K. Dresing
Diagnostics (2023) Vol. 13, Iss. 3, pp. 538-538
Open Access | Times Cited: 10
Factors associated with poor self-management documented in home health care narrative notes for patients with heart failure
Sena Chae, Jiyoun Song, Marietta Ojo, et al.
Heart & Lung (2022) Vol. 55, pp. 148-154
Open Access | Times Cited: 9
Natural Language Processing of Nursing Notes
Shazia Mitha, Jessica Schwartz, Mollie Hobensack, et al.
CIN Computers Informatics Nursing (2022) Vol. 41, Iss. 6, pp. 377-384
Closed Access | Times Cited: 9
The Use and Structure of Emergency Nurses’ Triage Narrative Data: Scoping Review
Christopher Picard, Manal Kleib, Colleen M. Norris, et al.
JMIR Nursing (2022) Vol. 6, pp. e41331-e41331
Open Access | Times Cited: 8
Machine learning-Based model for prediction of Narcolepsy Type 1 in Patients with Obstructive Sleep Apnea with Excessive Daytime Sleepiness
Yuanhang Pan, Di Zhao, Xinbo Zhang, et al.
Nature and Science of Sleep (2024) Vol. Volume 16, pp. 639-652
Open Access | Times Cited: 1
Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models
Xingyu Zhang, Yanshan Wang, Yun Jiang, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Individualized prediction of chronic kidney disease for the elderly in longevity areas in China: Machine learning approaches
Dai Su, Xingyu Zhang, Kevin He, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 6
Applications of Natural Language Processing at Emergency Department Triage: A Systematic Review
Jonathon Stewart, Juan Lü, Adrian Goudie, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 4
Expenditure Mapping of Pediatric Imaging Costs Using a Resource Utilization Band Analysis of Claims Data
Danika Baskar, Jamie A. Jarmul, Lane F. Donnelly
Current Problems in Diagnostic Radiology (2024)
Closed Access
A case for the use of deep learning algorithms for individual and population level assessments of mental health disorders: Predicting depression among China's elderly
Yingjie Wang, Xuzhe Wang, Li Zhao, et al.
Journal of Affective Disorders (2024)
Open Access
Development and validation of a machine learning model for prediction of comorbid major depression disorder among narcolepsy type 1
Yuanhang Pan, Xinbo Zhang, Xinyu Wen, et al.
Sleep Medicine (2024) Vol. 119, pp. 556-564
Closed Access
Integrating Structured and Unstructured Data for Predicting Emergency Severity: A Combined Predictive and Association Study Using NLP Models
Xingyu Zhang, Yanshan Wang, Yun Jiang, et al.
Research Square (Research Square) (2024)
Closed Access
Machine Learning and Clinical Prediction Rules: A Perfect Match?
James M. Chamberlain, Daniel Chamberlain, Joseph J. Zorc
PEDIATRICS (2020) Vol. 146, Iss. 3
Open Access | Times Cited: 3
Use of unstructured text in prognostic clinical prediction models: a systematic review
Tom M Seinen, Egill A. Friðgeirsson, Solomon Ioannou, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Emergency Imaging of At-Risk Patients: General Principles
Kathleen Hames, Michael N. Patlas
Elsevier eBooks (2023), pp. 1-11
Closed Access
Data linkages in epidemiology
Sinéad Moylett
Elsevier eBooks (2021), pp. 95-117
Closed Access
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