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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.

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Showing 15 citing articles:

Use of Artificial Intelligence in Triage in Hospital Emergency Departments: A Scoping Review
Samantha Tyler, Matthew Olis, Nicole Aust, et al.
Cureus (2024)
Open Access | Times Cited: 7
A comparative study of supervised machine learning approaches to predict patient triage outcomes in hospital emergency departments
Hamza Elhaj, Nebil Achour, Marzia Hoque Tania, et al.
Array (2023) Vol. 17, pp. 100281-100281
Open Access | Times Cited: 20
Analyzing the Efficacy of Artificial Intelligence in Facilitating Medico-Legal Investigations and Enhancing Forensic Processes for Emergency Trauma Patients: A Systematic Review
Rajiv Ratan Singh, Sachin Kumar Tripathi, Azad Kumar Bharti, et al.
Journal of Forensic Science and Medicine (2025) Vol. 11, Iss. 1, pp. 1-5
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
Deep learning-based natural language processing for detecting medical symptoms and histories in emergency patient triage
Siryeol Lee, Juncheol Lee, Juntae Park, et al.
The American Journal of Emergency Medicine (2023) Vol. 77, pp. 29-38
Closed Access | Times Cited: 11
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
Development and validation of a reinforcement learning model for ventilation control during emergence from general anesthesia
Hyeonhoon Lee, Hyun‐Kyu Yoon, Jae-Won Kim, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 6
Could machine learning algorithms help us predict massive bleeding at prehospital level?
Marcos Valiente Fernández, C. García Fuentes, Francisco de Paula Delgado Moya, et al.
Medicina Intensiva (English Edition) (2023) Vol. 47, Iss. 12, pp. 681-690
Closed Access | Times Cited: 4
Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review
Ahmad Alrawashdeh, Saeed Alqahtani, Zaid I. Alkhatib, et al.
Prehospital and Disaster Medicine (2024), pp. 1-11
Open Access | Times Cited: 1
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
Patient stratification based on the risk of severe illness in emergency departments through collaborative machine learning models
Jui-Ying Chen, Chih‐Chia Hsieh, Jung-Ting Lee, et al.
The American Journal of Emergency Medicine (2024) Vol. 82, pp. 142-152
Open Access
Applying Gaussian Mixture Model for Clustering Analysis of Emergency Room Patients Based on Intubation Status
P. Chen, Shih-Hsien Sung, Ling Chen
Lecture notes in computer science (2024), pp. 3-10
Closed Access
A pre-trained language model for emergency department intervention prediction using routine physiological data and clinical narratives
Ting-Yun Huang, Chee‐Fah Chong, Heng-Yu Lin, et al.
International Journal of Medical Informatics (2024) Vol. 191, pp. 105564-105564
Closed Access
¿Podrían ayudarnos los algoritmos de machine learning en la predicción de hemorragia masiva a nivel prehospitalario?
Marcos Valiente Fernández, C. García Fuentes, Francisco de Paula Delgado Moya, et al.
Medicina Intensiva (2023) Vol. 47, Iss. 12, pp. 681-690
Closed Access
Artificial intelligence systems in surgery: A review of opportunities, limitations, and prospects
Б. А. Кобринский
Russian Journal of Pediatric Surgery Anesthesia and Intensive Care (2023) Vol. 13, Iss. 3, pp. 385-404
Open Access
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