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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:

Machine learning methods applied to triage in emergency services: A systematic review
Rocío Sánchez-Salmerón, José Luis Gómez‐Urquiza, Luis Albendín‐García, et al.
International Emergency Nursing (2021) Vol. 60, pp. 101109-101109
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room
Benjamin S. Glicksberg, Prem Timsina, Dhaval Patel, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 9, pp. 1921-1928
Closed Access | Times Cited: 24
Impact of Artificial Intelligence–Based Triage Decision Support on Emergency Department Care
Richard A. Taylor, Chris Chmura, Jeremiah S. Hinson, et al.
NEJM AI (2025) Vol. 2, Iss. 3
Closed Access | Times Cited: 1
Chat-GPT in triage: Still far from surpassing human expertise - An observational study
Arian Zaboli, Francesco Brigo, Gloria Brigiari, et al.
The American Journal of Emergency Medicine (2025)
Closed Access | Times Cited: 1
Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making
Suzanne Tolmeijer, Markus Christen, Serhiy Kandul, et al.
CHI Conference on Human Factors in Computing Systems (2022)
Open Access | Times Cited: 33
Triage: A Global Perspective
Dawn Peta, Alison Day, Walter Sergio Lugari, et al.
Journal of Emergency Nursing (2023) Vol. 49, Iss. 6, pp. 814-825
Open Access | Times Cited: 16
Improving triage performance in emergency departments using machine learning and natural language processing: a systematic review
Bruno Matos Porto
BMC Emergency Medicine (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning
Bing Wang, Weizi Li, Anthony Bradlow, et al.
Decision Support Systems (2022) Vol. 166, pp. 113899-113899
Open Access | Times Cited: 25
eXtreme Gradient Boosting-based method to classify patients with COVID-19
Antonio Ramón, Ana María Torres, Javier Milara, et al.
Journal of Investigative Medicine (2022) Vol. 70, Iss. 7, pp. 1472-1480
Closed Access | Times Cited: 22
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
Triage Data-Driven Prediction Models for Hospital Admission of Emergency Department Patients: A Systematic Review
Hyun A. Shin, Heoung‐Keun Kang, Mona Choi
Healthcare Informatics Research (2025) Vol. 31, Iss. 1, pp. 23-36
Open Access
Predicting triage of pediatric patients in the emergency department using machine learning approach
Manal Ahmed Halwani, Ghada Merdad, Miada Almasre, et al.
International Journal of Emergency Medicine (2025) Vol. 18, Iss. 1
Open Access
Profiling the Offline and Online Risk Experiences of Youth to Develop Targeted Interventions for Online Safety
Ashwaq Alsoubai, Afsaneh Razi, Zainab Agha, et al.
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW1, pp. 1-37
Open Access | Times Cited: 4
Machine learning models predict triage levels, massive transfusion protocol activation, and mortality in trauma utilizing patients hemodynamics on admission
Ayman El‐Menyar, Mashhood Naduvilekandy, Mohammad Asim, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108880-108880
Closed Access | Times Cited: 4
Multimodal IoT-Based Autonomous Emergency and Response Care for Healthcare Ecosystems
D. Sudha, S. Violet, D R Thirupurasundari, et al.
Advances in medical technologies and clinical practice book series (2025), pp. 89-110
Closed Access
Use of Artificial Intelligence to Manage Patient Flow in Emergency Department during the COVID-19 Pandemic: A Prospective, Single-Center Study
É. Arnaud, Mahmoud Elbattah, C. Ammirati, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 15, pp. 9667-9667
Open Access | Times Cited: 17
Predictive Model for Mortality in Severe COVID-19 Patients across the Six Pandemic Waves
Nazaret Casillas, Antonio Ramón, Ana María Torres, et al.
Viruses (2023) Vol. 15, Iss. 11, pp. 2184-2184
Open Access | Times Cited: 10
Triage—clinical reasoning on emergency nursing competency: a multiple linear mediation effect
Won‐Oak Oh, Myung‐Jin Jung
BMC Nursing (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 3
Improved interpretable machine learning emergency department triage tool addressing class imbalance
Clarisse SJ Look, Salinelat Teixayavong, Therese Djärv, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 3
Medical emergency department triage data processing using a machine-learning solution
Andreea Vântu, Anca Vasilescu, Alexandra Băicoianu
Heliyon (2023) Vol. 9, Iss. 8, pp. e18402-e18402
Open Access | Times Cited: 8
Predicting Hospital Ward Admission from the Emergency Department: A Systematic Review
Nekane Larburu, Laiene Azkue, Jon Kerexeta
Journal of Personalized Medicine (2023) Vol. 13, Iss. 5, pp. 849-849
Open Access | Times Cited: 7
Combining IoMT and XAI for Enhanced Triage Optimization: An MQTT Broker Approach with Contextual Recommendations for Improved Patient Priority Management in Healthcare
Oumaima Stitini, Fathia Ouakasse, Said Rakrak, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2024) Vol. 20, Iss. 07, pp. 145-162
Open Access | Times Cited: 2
Prediction of patient flow in the emergency department using explainable artificial intelligence
Pedro A. Moreno-Sánchez, Matti Aalto, Mark van Gils
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2
Multicenter Analysis of Emergency Patient Severity through Local Model Evaluation Client Selection: Optimizing Client Selection Based on Local Model Evaluation
Yong-gyom Kim, S.H. Yang, Kang Yoon Lee
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 6876-6876
Open Access | Times Cited: 2
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: 12
Designing for Control in Nurse-AI Collaboration During Emergency Medical Calls
Arngeir Berge, Frode Guribye, Siri-Linn Schmidt Fotland, et al.
(2023), pp. 1339-1352
Open Access | Times Cited: 6
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