Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 to predict stroke‐associated pneumonia in Chinese acute ischaemic stroke patients
Xiang Li, Min Wu, Chao Sun, et al.
European Journal of Neurology (2020) Vol. 27, Iss. 8, pp. 1656-1663
Closed Access | Times Cited: 43

Showing 26-50 of 43 citing articles:

Detection of Brain Stroke Using Machine Learning Algorithm
E. Sujatha, Donna Monica
(2024), pp. 370-375
Closed Access | Times Cited: 1
Novel machine learning models to predict pneumonia events in supratentorial intracerebral hemorrhage populations: An analysis of the Risa-MIS-ICH study
Yan Zheng, Yuanxiang Lin, Qiu He, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 7
Braden scale for predicting pneumonia after spontaneous intracerebral hemorrhage
Yunlong Ding, Zhanyi Ji, Liu Yan, et al.
Revista da Associação Médica Brasileira (2022) Vol. 68, Iss. 7, pp. 904-911
Open Access | Times Cited: 6
Using machine learning to predict stroke‐associated pneumonia in Chinese acute ischaemic stroke patients
Jiangang Zou
European Journal of Neurology (2020) Vol. 27, Iss. 12, pp. 2676-2676
Open Access | Times Cited: 4
Prediction model of malnutrition in hospitalized patients with acute stroke
Rong Tang, Bi Guan, Jiaoe Xie, et al.
Topics in Stroke Rehabilitation (2024), pp. 1-15
Closed Access
Predicting pneumonia during hospitalization in flail chest patients using machine learning approaches
Xiaolin Song, Hui Li, Qingsong Chen, et al.
Frontiers in Surgery (2023) Vol. 9
Open Access | Times Cited: 1
Using machine learning algorithms to predict the prognosis of advanced nasopharyngeal carcinoma after intensity-modulated radiotherapy
Dan Hu, Ying Wang, Genxin Ji, et al.
Current Problems in Cancer (2023) Vol. 48, pp. 101040-101040
Closed Access | Times Cited: 1
Research on prognostic risk assessment model for acute ischemic stroke based on imaging and multidimensional data
Jiabin Liang, Jie Feng, Zhijie Lin, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 1
Machine learning model to predict 3-month nonunion(delayed union) of unstable distal clavicle fracture patients treated with open reduction and internal fixation
Changke Ma, Wei Lü, Limei Liang, et al.
Research Square (Research Square) (2024)
Open Access
Prediction and evaluation of the risk of Stroke-associated pneumonia using an artificial neural network model
Ting Wang, Chunbiao Li, Linli Yuan, et al.
Research Square (Research Square) (2024)
Open Access
Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach
Ahmad A. Abujaber, Said Yaseen, Abdulqadir J. Nashwan, et al.
Journal of Stroke and Cerebrovascular Diseases (2024) Vol. 34, Iss. 2, pp. 108200-108200
Open Access
Artificial Intelligence for Clinical Decision Support in Acute Ischemic Stroke Care: A Systematic Review
Adam Hilbert, Ela M. Akay, Benjamin Gregory Carlisle, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Hybrid deep learning model for the risk prediction of cognitive impairment in stroke patients
Zemin Wei, Mengqi Li, Hong Fan
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
The Use of Machine Learning and Deep Learning Techniques to Assess Proprioceptive Impairments of the Upper Limb after Stroke
Md. Delowar Hossain, Stephen H. Scott, Tyler Cluff, et al.
Research Square (Research Square) (2022)
Open Access
Artificial Intelligence for Clinical Decision Support in Acute Ischemic Stroke Care: A Systematic Review
Adam Hilbert, Ela M. Akay, Benjamin Gregory Carlisle, et al.
Research Square (Research Square) (2022)
Open Access
Artificial Intelligence for Clinical Decision Support in Acute Ischemic Stroke Care: A Systematic Review
Adam Hilbert, Ela M. Akay, Benjamin Gregory Carlisle, et al.
Research Square (Research Square) (2022)
Open Access
Development And Assessment Of Machine Learning Models For Predicting Recurrence Risk After Endovascular Treatment In Patients With Intracranial Aneurysms
Shiteng Lin, Yang Zou, Jue Hu, et al.
Research Square (Research Square) (2021)
Open Access
Prediction of Poststroke Urinary Tract Infection Risk in Immobile Patients Using Machine Learning: Observational Cohort Study (Preprint)
Chen Zhu, Zidu Xu, Yaowen Gu, et al.
(2021)
Closed Access
Previous Page - Page 2

Scroll to top