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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:

Use of the low-frequency/high-frequency ratio of heart rate variability to predict short-term deterioration in emergency department patients with sepsis
Douglas P. Barnaby, Shannon M. Fernando, Kevin J. Ferrick, et al.
Emergency Medicine Journal (2017) Vol. 35, Iss. 2, pp. 96-102
Closed Access | Times Cited: 17

Showing 17 citing articles:

A narrative review of heart rate and variability in sepsis
Benjamin Wee, Jan Hau Lee, Yee Hui Mok, et al.
Annals of Translational Medicine (2020) Vol. 8, Iss. 12, pp. 768-768
Open Access | Times Cited: 39
Role of complement C5a and histones in septic cardiomyopathy
Fatemeh Fattahi, Lynn M. Frydrych, Guowu Bian, et al.
Molecular Immunology (2018) Vol. 102, pp. 32-41
Open Access | Times Cited: 36
Heart rate variability measures for prediction of severity of illness and poor outcome in ED patients with sepsis
John E. Arbo, Jeremy K. Lessing, William J. H. Ford, et al.
The American Journal of Emergency Medicine (2020) Vol. 38, Iss. 12, pp. 2607-2613
Open Access | Times Cited: 19
Combining Heart Rate Variability with Disease Severity Score Variables for Mortality Risk Stratification in Septic Patients Presenting at the Emergency Department
Jeremy Zhenwen Pong, Stephanie Fook‐Chong, Zhi Xiong Koh, et al.
International Journal of Environmental Research and Public Health (2019) Vol. 16, Iss. 10, pp. 1725-1725
Open Access | Times Cited: 19
Combining quick sequential organ failure assessment score with heart rate variability may improve predictive ability for mortality in septic patients at the emergency department
Sumanth Madhusudan Prabhakar, Takashi Tagami, Nan Liu, et al.
PLoS ONE (2019) Vol. 14, Iss. 3, pp. e0213445-e0213445
Open Access | Times Cited: 16
Adenosine A1 receptors of the medullary solitary tract arbitrate the nicotine counteraction of neuroinflammation and cardiovascular dysfunction in septic rats
Amany E. El‐Naggar, Mai M. Helmy, Sahar M. El‐Gowilly, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Identification of Latent Risk Clinical Attributes for Children Born Under IUGR Condition Using Machine Learning Techniques
Sau Nguyen Van, João Alexandre Lôbo Marques, Taher Biala, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 200, pp. 105842-105842
Closed Access | Times Cited: 8
HEART RATE VARIABILITY PARAMETERS WERE NOT ASSOCIATED WITH 30-DAY ALL-CAUSE MORTALITY IN INTENSIVE CARE UNIT PATIENTS WITH OR WITHOUT ATRIAL FIBRILLATION: A RETROSPECTIVE STUDY OF THE MIMIC-IV DATABASE
Sheran Li, Qiyu Yang, Peiyu Wu, et al.
Shock (2023) Vol. 60, Iss. 1, pp. 24-33
Closed Access | Times Cited: 2
Depressed sympathovagal modulation indicates sepsis in patients with suspected infection
Ching-Tang Hsu, Henry Chih-Hung Tai, Jui-Yuan Chung, et al.
Medicine (2020) Vol. 99, Iss. 4, pp. e18961-e18961
Open Access | Times Cited: 5
Early prediction of serious infections in febrile infants incorporating heart rate variability in an emergency department: a pilot study
Shu‐Ling Chong, Tzong-Luen Wang, John Carson Allen, et al.
Emergency Medicine Journal (2021) Vol. 38, Iss. 8, pp. 607-612
Closed Access | Times Cited: 5
The Physiological Deep Learner: First application of multitask deep learning to predict hypotension in critically ill patients
Ményssa Cherifa, Yannet Interian, Alice Blet, et al.
Artificial Intelligence in Medicine (2021) Vol. 118, pp. 102118-102118
Open Access | Times Cited: 4
The Effect of Cardiovascular Medication on Heart Rate Variability in Patients Presenting with Early Sepsis at the Emergency Department: A Prospective Cohort Study
Lindsy van der Laan, Raymond J. van Wijk, Vincent M. Quinten, et al.
SN Comprehensive Clinical Medicine (2024) Vol. 6, Iss. 1
Open Access
Deep Convolutional Neural Network for Autonomic Function Estimation in Intensive Care Patients
Javier Zelechower, Eduardo San Román, Iván Huespe, et al.
Communications in computer and information science (2024), pp. 43-58
Closed Access
Sepsis-induced inflammatory demyelination in medullary visceral zone and cholinergic anti-inflammatory pathway: Insights from a Rat's model study
Chen Gao, Cheng Zhang, Hongbing Li, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33840-e33840
Open Access
NN50 and pNN50, two time-domain heart rate variability parameters were associated with 30-day all-cause mortality in patients admitted to intensive care unit: A Retrospective Study of the MIMIC-IV Database
Sheran Li, Qiyu Yang, Peiyu Wu, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Variabilidad de la frecuencia cardiaca como predictor temprano de mortalidad en pacientes con sepsis en la Unidad de Cuidados Intensivos
David Salvador Martinez Carreon, Karen Saraí Martínez Romero, Christian Ramírez Barba, et al.
Medicina Crítica (2023) Vol. 37, Iss. 7, pp. 559-565
Open Access
O papel do sistema nervoso autônomo e do barorreflexo no curso temporal da sepse experimental
Camila Molina Soares
(2022)
Open Access
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