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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:

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

Showing 12 citing articles:

Comparison of Predictive Models for Keloid Recurrence Based on Machine Learning
Hao Yan, Mengjie Shan, Hao Liu, et al.
Journal of Cosmetic Dermatology (2025) Vol. 24, Iss. 2
Open Access
Artificial intelligence applied to electrocardiogram to rule out acute myocardial infarction: the ROMIAE multicentre study
Min Sung Lee, Tae Gun Shin, Young Ju Lee, et al.
European Heart Journal (2025)
Open Access
Artificial Intelligence in Optimizing the Functioning of Emergency Departments; a Systematic Review of Current Solutions.
Aleksandra Szymczyk, Krion Robert, Krzyzaniak Klaudia, et al.
PubMed (2024) Vol. 12, Iss. 1, pp. e22-e22
Closed Access | Times Cited: 3
Explainable artificial intelligence in emergency medicine: an overview
Yohei Okada, Yilin Ning, Marcus Eng Hock Ong
Clinical and Experimental Emergency Medicine (2023) Vol. 10, Iss. 4, pp. 354-362
Open Access | Times Cited: 8
Data integration using information and communication technology for emergency medical services and systems
Ji Hoon Kim
Clinical and Experimental Emergency Medicine (2023) Vol. 10, Iss. 2, pp. 129-131
Open Access | Times Cited: 3
EARLY PREDICTION OF UNEXPECTED LATENT SHOCK IN THE EMERGENCY DEPARTMENT USING VITAL SIGNS
Hansol Chang, Weon Jung, Juhyung Ha, et al.
Shock (2023) Vol. 60, Iss. 3, pp. 373-378
Open Access | Times Cited: 3
Clinical support system for triage based on federated learning for the Korea triage and acuity scale
Hansol Chang, Jae Yong Yu, Geun Hyeong Lee, et al.
Heliyon (2023) Vol. 9, Iss. 8, pp. e19210-e19210
Open Access | Times Cited: 3
Prognostic Performance of Sequential Organ Failure Assessment, Acute Physiology and Chronic Health Evaluation III, and Simplified Acute Physiology Score II Scores in Patients with Suspected Infection According to Intensive Care Unit Type
Sung Yeon Hwang, In‐Kyu Kim, Daun Jeong, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 19, pp. 6402-6402
Open Access | Times Cited: 3
A scoping review of work system elements that influence emergency department disposition decision-making
Rachel Rutkowski, Eleanore Scheer, Claire Carlson, et al.
Human Factors in Healthcare (2023) Vol. 4, pp. 100059-100059
Open Access | Times Cited: 2
Machine Learning Model Development and Validation for Predicting Outcome in Stage 4 Solid Cancer Patients with Septic Shock Visiting the Emergency Department: A Multi-Center, Prospective Cohort Study
Byuk Sung Ko, Sanghoon Jeon, Donghee Son, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 23, pp. 7231-7231
Open Access | Times Cited: 4
The Use of AI in Predicting Patient Outcomes and Deterioration in the Emergency Department
Amal Saleh Akeel, Ayed Aljohani, Osama Mohammed Alnasser, et al.
Journal of Healthcare Sciences (2023) Vol. 03, Iss. 11, pp. 510-516
Open Access | Times Cited: 1
Limitaciones y desafíos de la inteligencia artificial en salud
Iñigo Gabilondo Cuéllar
Kranion (2023) Vol. 18, Iss. 2
Open Access
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