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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:

Using Machine Learning Techniques to Predict Hospital Admission at the Emergency Department
Georgios Feretzakis, George Karlis, Evangelos Loupelis, et al.
˜The œJournal of Critical Care Medicine (2022) Vol. 8, Iss. 2, pp. 107-116
Open Access | Times Cited: 23

Showing 23 citing articles:

The Aspects of Running Artificial Intelligence in Emergency Care; a Scoping Review.
Mohsen Masoumian Hosseini, Seyedeh Toktam Masoumian Hosseini, Karim Qayumi, et al.
PubMed (2023) Vol. 11, Iss. 1, pp. e38-e38
Closed Access | Times Cited: 24
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: 12
Predicting total healthcare demand using machine learning: separate and combined analysis of predisposing, enabling, and need factors
Fatih Orhan, Mehmet Nurullah Kurutkan
BMC Health Services Research (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
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: 7
Artificial Intelligence Models in Health Information Exchange: A Systematic Review of Clinical Implications
Sahar Borna, Michael J. Maniaci, Clifton R. Haider, et al.
Healthcare (2023) Vol. 11, Iss. 18, pp. 2584-2584
Open Access | Times Cited: 12
Machine Learning in Medical Triage: A Predictive Model for Emergency Department Disposition
Georgios Feretzakis, Aikaterini Sakagianni, Αθανάσιος Αναστασίου, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6623-6623
Open Access | Times Cited: 4
Machine learning in diagnostic support in medical emergency departments
Claus Lohman Brasen, E Andersen, Jeppe B. Madsen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study
C Brossard, Christophe Goetz, P. Catoire, et al.
BMC Emergency Medicine (2025) Vol. 25, Iss. 1
Open Access
Machine Learning-Based Model for Emergency Department Disposition at a Public Hospital
Savaş Sezik, Mustafa Özgür Cingiz, Esma İbiş
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1628-1628
Open Access
Development and Validation of a Machine Learning Model That Predicts Short Inpatient Stays Among Urgent Admissions
Yan Gao, Sunku Srivatsava, Hong Choon Oh, et al.
Emergency Care and Medicine (2025) Vol. 2, Iss. 1, pp. 11-11
Open Access
The role of AI in emergency department triage: An integrative systematic review
Rabie Adel El Arab, Omayma Abdulaziz Al Moosa
Intensive and Critical Care Nursing (2025) Vol. 89, pp. 104058-104058
Closed Access
Artificial Intelligence in Emergency Services
Felipe Nogueira Soares, David Padeiro, Marta Correia Sampaio, et al.
IGI Global eBooks (2025), pp. 1-20
Closed Access
A Comprehensive Literature Review on AI-Assisted Multimodal Triage Systems for Health Centers
Ziad Araouchi, Mehdi Adda
Procedia Computer Science (2025) Vol. 257, pp. 206-214
Open Access
Machine Learning Models for Predicting Pediatric Hospitalizations Due to Air Pollution and Humidity: A Retrospective Study
Zohar Barnett‐Itzhaki, Vered Nir, Almog Kellner, et al.
Pediatric Pulmonology (2025) Vol. 60, Iss. 5
Open Access
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
The age of artificial intelligence
Joe Frankland, Will Mulrooney, Charles Crosland, et al.
Journal of Paramedic Practice (2023) Vol. 15, Iss. 5, pp. 214-217
Closed Access | Times Cited: 4
Predicting Outcomes in Frail Older Community-Dwellers in Western Australia: Results from the Community Assessment of Risk Screening and Treatment Strategies (CARTS) Programme
Roger Clarnette, Ivan Kostov, Jill P. Ryan, et al.
Healthcare (2024) Vol. 12, Iss. 13, pp. 1339-1339
Open Access | Times Cited: 1
Identification of avoidable patients at triage in a Paediatric Emergency Department: a decision support system using predictive analytics
João Viana, Júlio Souza, Rúben Rocha, et al.
BMC Emergency Medicine (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
TriageIntelli: AI-Assisted Multimodal Triage System for Health Centers
Ziad Araouchi, Mehdi Adda
Procedia Computer Science (2024) Vol. 251, pp. 430-437
Open Access | Times Cited: 1
A systematic review of dexmedetomidine pharmacology in pediatric patients
Aislinn O'Kane, Sara K. Quinney, Evlin L. Kinney, et al.
Clinical and Translational Science (2024) Vol. 17, Iss. 12
Open Access | Times Cited: 1
A Machine Learning Pipeline Using KNIME to Predict Hospital Admission in the MIMIC-IV Database
Rozita Tsoni, Vasileios Kaldis, Ioanna Kapogianni, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
Using machine learning methods to predict all-cause somatic hospitalizations in adults: A systematic review
Mohsen Askar, Masoud Tafavvoghi, Lars Småbrekke, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0309175-e0309175
Open Access
Predictors of Medical and Dental Clinic Closure by Machine Learning Methods: Cross-Sectional Study Using Empirical Data
Young‐Taek Park, Donghan Kim, Ji Soo Jeon, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e46608-e46608
Open Access
Artificial Intelligence: The Next Blockbuster Drug in Critical Care?
Răzvan Azamfirei
˜The œJournal of Critical Care Medicine (2023) Vol. 9, Iss. 2, pp. 61-63
Open Access
Predictors of Medical and Dental Clinic Closure by Machine Learning Methods: Cross-Sectional Study Using Empirical Data (Preprint)
Young‐Taek Park, Donghan Kim, Ji Soo Jeon, et al.
(2023)
Closed Access
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