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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 New Time-Window Prediction Model For Traumatic Hemorrhagic Shock Based on Interpretable Machine Learning
Yuzhuo Zhao, Lijing Jia, Ruiqi Jia, et al.
Shock (2021) Vol. 57, Iss. 1, pp. 48-56
Open Access | Times Cited: 12

Showing 12 citing articles:

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
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
A prediction model for massive hemorrhage in trauma: a retrospective observational study
Chengyu Guo, Minghui Gong, Lei Ji, et al.
BMC Emergency Medicine (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 6
A Cautionary Tale: The Use of Propensity Matching to Evaluate Hemorrhage-Related Trauma Mortality in the American College of Surgeons TQIP Database
Melike Harfouche, David V. Feliciano, Rosemary A. Kozar, et al.
Journal of the American College of Surgeons (2023) Vol. 236, Iss. 6, pp. 1208-1216
Closed Access | Times Cited: 2
Dynamics of Local Temperature in the Fingertips After the Cuff Occlusion Test: Infrared Diagnosis of Adaptation Reserves to Hypoxia and Assessment of Survivability of Victims at Massive Blood Loss
Aleksandr Urakov, Natalya Urakova, Anton Kasatkin, et al.
Reviews in Cardiovascular Medicine (2022) Vol. 23, Iss. 5
Open Access | Times Cited: 3
Pulse Pressure: A Predictor of Intervention in Blunt Abdominal Trauma
Sumbla Salman, Osama Laeeque, Bushra Jawaid, et al.
Cureus (2023)
Open Access | Times Cited: 1
Dynamic Prediction of Latent Shock Based on Machine Learning in Emergency Department: A Retrospective Study
Yan Zhou, Haibo Yu, Shuai Dai, et al.
(2024)
Closed Access
The Diagnostic Value of Scanning in the Injury of Triceps Crus of Volleyball Players
Jinfeng Zhao, Jianxin Liu
Scanning (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 2
Development and Validation of a Dynamic Prediction Model for Massive Hemorrhage in Trauma
Chengyu Guo, Maolin Tian, Minghui Gong, et al.
Emergency Medicine International (2022) Vol. 2022, pp. 1-6
Open Access | Times Cited: 1
Pulse Pressure: A Predictor of Intervention in Blunt Abdominal Trauma
Sumbla Salman, Osama Laeeque, Bushra Jawaid, et al.
Research Square (Research Square) (2023)
Open 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
Investigating the Role of Machine Learning Algorithms in Predicting Sepsis using Vital Sign Data
Amit Sundas, Sumit Badotra, Gurpreet Singh, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 10
Open Access
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