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:

Prediction of Critical Care Outcome for Adult Patients Presenting to Emergency Department Using Initial Triage Information: An XGBoost Algorithm Analysis
Hyoungju Yun, Jinwook Choi, Jeong Ho Park
JMIR Medical Informatics (2021) Vol. 9, Iss. 9, pp. e30770-e30770
Open Access | Times Cited: 24

Showing 24 citing articles:

Artificial intelligence, machine learning, and deep learning for clinical outcome prediction
Rowland W. Pettit, Robert Fullem, Chao Cheng, et al.
Emerging Topics in Life Sciences (2021) Vol. 5, Iss. 6, pp. 729-745
Open Access | Times Cited: 57

Interpretable machine learning for predicting sepsis risk in emergency triage patients
Zheng Liu, Wenqi Shu, Teng Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1

Assessing Risk in Implementing New Artificial Intelligence Triage Tools—How Much Risk is Reasonable in an Already Risky World?
Alexa Nord-Bronzyk, Julian Savulescu, Angela Ballantyne, et al.
Asian Bioethics Review (2025) Vol. 17, Iss. 1, pp. 187-205
Open Access

Development and validation of interpretable machine learning models for triage patients admitted to the intensive care unit
Zheng Liu, Wenqi Shu, Hongyan Liu, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0317819-e0317819
Open Access

Enhancing VBAC Prediction with AI-Powered Temporal Dynamics: Integrating Decision Support into a Shared Decision-Making Platform for Intrapartum Care
Chuangyi Wang, Mu-En Lee, Cherng-Chia Yang, et al.
Research Square (Research Square) (2025)
Closed Access

Accurate V2X traffic prediction with deep learning architectures
Ali R. Abdellah, Ahmed Abdelmoaty, Abdelhamied A. Ateya, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access

Forecasting Patient Arrivals in Emergency Departments Using Time Series Prediction Models: A Research at a Tunisian Emergency Department
Yosra Jmal, Sally Yaacoub
Lecture notes in computer science (2025), pp. 125-135
Closed Access

Using emergency department triage for machine learning-based admission and mortality prediction
Thomas Tschoellitsch, Philipp Seidl, Carl Böck, et al.
European Journal of Emergency Medicine (2023) Vol. 30, Iss. 6, pp. 408-416
Closed Access | Times Cited: 10

Artificial intelligence decision points in an emergency department
Hansol Chang, Won Chul
Clinical and Experimental Emergency Medicine (2022) Vol. 9, Iss. 3, pp. 165-168
Open Access | Times Cited: 13

Inter hospital external validation of interpretable machine learning based triage score for the emergency department using common data model
Jae Yong Yu, Doyeop Kim, Sunyoung Yoon, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

A Predictive Model of Pressure Injury in Children Undergoing Living Donor Liver Transplantation Based on Machine Learning Algorithm
Xiaomei Chen, Shi‐Yang Tang, Yanwen Qin, et al.
Journal of Advanced Nursing (2024)
Open Access | Times Cited: 2

Using machine learning and natural language processing in triage for prediction of clinical disposition in the emergency department
Yu-Hsin Chang, Ying-Chen Lin, Fen-Wei Huang, et al.
BMC Emergency Medicine (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2

Development and Validation of an Artificial Intelligence Electrocardiogram Recommendation System in the Emergency Department
Dung-Jang Tsai, Shih‐Hung Tsai, Hui‐Hsun Chiang, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 5, pp. 700-700
Open Access | Times Cited: 9

Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4
Kullaya Takkavatakarn, Won-Suk Oh, Ella Cheng, et al.
BMC Nephrology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 3

Development of a population‐level prediction model for intensive care unit (ICU) survivorship and mortality in older adults: A population‐based cohort study
Sikandar Khan, Anthony J. Perkins, Mikita Fuchita, et al.
Health Science Reports (2023) Vol. 6, Iss. 10
Open Access | Times Cited: 2

A conformal regressor for predicting negative conversion time of Omicron patients
Pingping Wang, Shenjing Wu, Mei Tian, et al.
Medical & Biological Engineering & Computing (2024)
Closed Access

Detecting Need-Attention Patients using Machine Learning
Theng Jia Law, Choo‐Yee Ting, Helmi Zakariah
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 2, pp. 803-803
Open Access

Forecasting hospital discharges for respiratory conditions in Costa Rica using climate and pollution data
Shu Wei Chou-Chen, Luis A. Barboza
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 7, pp. 6539-6558
Open Access

TriageIntelli: AI-Assisted Multimodal Triage System for Health Centers
Ziad Araouchi, Mehdi Adda
Procedia Computer Science (2024) Vol. 251, pp. 430-437
Open Access

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