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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:

A Machine Learning–Based Model to Predict Acute Traumatic Coagulopathy in Trauma Patients Upon Emergency Hospitalization
Kaiyuan Li, Huitao Wu, Fei Pan, et al.
Clinical and Applied Thrombosis/Hemostasis (2020) Vol. 26
Open Access | Times Cited: 22

Showing 22 citing articles:

State of the Art of Machine Learning–Enabled Clinical Decision Support in Intensive Care Units: Literature Review
Na Hong, Chun Liu, Jianwei Gao, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 3, pp. e28781-e28781
Open Access | Times Cited: 40
Artificial intelligence and machine learning for hemorrhagic trauma care
Henry T. Peng, M. Musaab Siddiqui, Shawn G. Rhind, et al.
Military Medical Research (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 24
The AI Future of Emergency Medicine
Robert J. Petrella
Annals of Emergency Medicine (2024) Vol. 84, Iss. 2, pp. 139-153
Open Access | Times Cited: 13
A cost-aware framework for the development of AI models for healthcare applications
Gabriel Erion, Joseph D. Janizek, Carly Hudelson, et al.
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1384-1398
Open Access | Times Cited: 24
Artificial Intelligence and Machine Learning in Patient Blood Management: A Scoping Review
Jens Meier, Thomas Tschoellitsch
Anesthesia & Analgesia (2022) Vol. 135, Iss. 3, pp. 524-531
Closed Access | Times Cited: 23
An evidential reasoning rule based feature selection for improving trauma outcome prediction
Fatima Almaghrabi, Dong‐Ling Xu, Jianbo Yang
Applied Soft Computing (2021) Vol. 103, pp. 107112-107112
Closed Access | Times Cited: 30
Has the Flood Entered the Basement? A Systematic Literature Review about Machine Learning in Laboratory Medicine
Luca Ronzio, Federico Cabitza, Alessandro Barbaro, et al.
Diagnostics (2021) Vol. 11, Iss. 2, pp. 372-372
Open Access | Times Cited: 27
Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study
Xiaojuan Xiong, Fu Hong, Bo Xu, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e66612-e66612
Open Access
Machine Learning in the Prediction of Trauma Outcomes: A Systematic Review
Timothy Zhang, Anton Nikouline, David Lightfoot, et al.
Annals of Emergency Medicine (2022) Vol. 80, Iss. 5, pp. 440-455
Closed Access | Times Cited: 15
Electronic health record machine learning model predicts trauma inpatient mortality in real time: A validation study
Zongyang Mou, Laura N. Godat, Robert El‐Kareh, et al.
Journal of Trauma and Acute Care Surgery (2021) Vol. 92, Iss. 1, pp. 74-80
Open Access | Times Cited: 14
Intelligent prediction of RBC demand in trauma patients using decision tree methods
Yan-Nan Feng, Zhenhua Xu, Junting Liu, et al.
Military Medical Research (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 12
Predicting hospital disposition for trauma patients: application of data-driven machine learning algorithms
Nasser Alrashidi, M. R. AlRashidi, Sara Mejahed, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 4, pp. 7751-7769
Open Access | Times Cited: 1
Clinical Utility of Delta Lactate for Predicting Early In-Hospital Mortality in Adult Patients: A Prospective, Multicentric, Cohort Study
Pablo Ibáñez, Raúl López‐Izquierdo, Francisco Martín‐Rodríguez, et al.
Diagnostics (2020) Vol. 10, Iss. 11, pp. 960-960
Open Access | Times Cited: 6
Intelligent prediction of RBC demand in trauma patients using decision tree methods
Yan-Nan Feng, Zhenhua Xu, Junting Liu, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 5
CoAI: Cost-Aware Artificial Intelligence for Health Care
Gabriel Erion, Joseph D. Janizek, Carly Hudelson, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 4
Polytrauma: Definition of the Problem and Management Strategy (Review)
Alexander Prokazyuk, М А Жанаспаев, Sabina Aubakirova, et al.
General Reanimatology (2022) Vol. 18, Iss. 5, pp. 78-88
Open Access | Times Cited: 3
Prediction of Acute Traumatic Coagulation Based on Interpretable Algorithm
Mingyue Liao, Jing Li
Lecture notes in operations research (2024), pp. 355-365
Closed Access
A dynamic online nomogram predicting post-traumatic arrhythmias: A retrospective cohort study
Jianmei Long, Xiaohui Liu, Shasha Li, et al.
The American Journal of Emergency Medicine (2024) Vol. 84, pp. 111-119
Closed Access
Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study (Preprint)
Xiaojuan Xiong, Fu Hong, Bo Xu, et al.
(2024)
Closed Access
Intelligent injury prediction for traumatic airway obstruction
Youfang Han, Fei Pan, Hainan Song, et al.
Medical & Biological Engineering & Computing (2022) Vol. 61, Iss. 1, pp. 139-153
Closed Access
Marcadores biológicos y escalas de gravedad para la detección del paciente grave
Pablo Ibáñez
(2022)
Open Access
State of the Art of Machine Learning–Enabled Clinical Decision Support in Intensive Care Units: Literature Review (Preprint)
Na Hong, Chun Liu, Jianwei Gao, et al.
(2021)
Open Access
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