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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 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 1-25 of 43 citing articles:

Machine Learning in Action: Stroke Diagnosis and Outcome Prediction
Shraddha Mainali, Marin E. Darsie, Keaton S. Smetana
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 94
A Deep Learning Approach for Detecting Stroke from Brain CT Images Using OzNet
Öznur Özaltın, Orhan Coskun, Özgür Yeniay, et al.
Bioengineering (2022) Vol. 9, Iss. 12, pp. 783-783
Open Access | Times Cited: 34
Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine
Yulu Zheng, Zheng Guo, Yanbo Zhang, et al.
The EPMA Journal (2022) Vol. 13, Iss. 2, pp. 285-298
Open Access | Times Cited: 33
Prediction of post-stroke urinary tract infection risk in immobile patients using machine learning: an observational cohort study
Chao Zhu, Zidu Xu, Yaowen Gu, et al.
Journal of Hospital Infection (2022) Vol. 122, pp. 96-107
Closed Access | Times Cited: 32
Artificial Intelligence for Clinical Decision Support in Acute Ischemic Stroke: A Systematic Review
Ela M. Akay, Adam Hilbert, Benjamin Gregory Carlisle, et al.
Stroke (2023) Vol. 54, Iss. 6, pp. 1505-1516
Open Access | Times Cited: 22
Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation
Chaojin Chen, Dong Yang, Shilong Gao, et al.
Respiratory Research (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 36
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.
Journal of NeuroEngineering and Rehabilitation (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 13
Systemic Immune-Inflammation Index and Long-Term Mortality in Patients with Stroke-Associated Pneumonia
Mengdi Xie, Kang Yuan, Xinyi Zhu, et al.
Journal of Inflammation Research (2023) Vol. Volume 16, pp. 1581-1593
Open Access | Times Cited: 13
High Monocyte-To-Lymphocyte Ratio Is Associated With Stroke-Associated Pneumonia
Haoran Cheng, Jiaying Song, Yi-Nuo Zhang, et al.
Frontiers in Neurology (2020) Vol. 11
Open Access | Times Cited: 34
Machine Learning Approaches in Traditional Chinese Medicine: A Systematic Review
Haiyang Chen, He Yu
The American Journal of Chinese Medicine (2021) Vol. 50, Iss. 01, pp. 91-131
Closed Access | Times Cited: 31
Artificial intelligence for heart disease prediction and imputation of missing data in cardiovascular datasets
Ahmed Najim, Nejah Nasri
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Emerging frontiers of artificial intelligence and machine learning in ischemic stroke: a comprehensive investigation of state-of-the-art methodologies, clinical applications, and unraveling challenges
Yishu Fan, Zhenshan Song, Mengqi Zhang
The EPMA Journal (2023) Vol. 14, Iss. 4, pp. 645-661
Closed Access | Times Cited: 10
FOG Grounded Observing Scheme for E-Healthcare Based Stroke Estimation and Alert Message in IoT Environment
Sakshi Pandey, Rahul Mishra
Communications in computer and information science (2025), pp. 376-386
Closed Access
Neural networks for the prediction of bacterial and fungal infections: current evidence and implications
Cristina Marelli, Daniele Roberto Giacobbe, Alessandro Limongelli, et al.
Journal of Chemotherapy (2025), pp. 1-28
Closed Access
Interpretable CNN for ischemic stroke subtype classification with active model adaptation
Shuo Zhang, Jing Wang, Lulu Pei, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 14
Machine learning algorithms to predict the 1 year unfavourable prognosis for advanced schistosomiasis
Honglin Jiang, Weicheng Deng, Jie Zhou, et al.
International Journal for Parasitology (2021) Vol. 51, Iss. 11, pp. 959-965
Closed Access | Times Cited: 17
Optimization of cognitive assessment in Parkinsonisms by applying artificial intelligence to a comprehensive screening test
Paola Ortelli, Davide Ferrazzoli, Viviana Versace, et al.
npj Parkinson s Disease (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 12
Feasibility of a clinical-radiomics combined model to predict the occurrence of stroke-associated pneumonia
Haowen Luo, Jingyi Li, Yongsen Chen, et al.
BMC Neurology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
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.
Neurosurgical Review (2021) Vol. 45, Iss. 2, pp. 1521-1531
Open Access | Times Cited: 13
Application of machine learning and natural language processing for predicting stroke-associated pneumonia
Hui-Chu Tsai, Cheng‐Yang Hsieh, Sheng‐Feng Sung
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 10
Post-stroke respiratory complications using machine learning with voice features from mobile devices
Hae‐Yeon Park, DoGyeom Park, Hye Seon Kang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 9
The Convergence of FTIR and EVs: Emergence Strategy for Non-Invasive Cancer Markers Discovery
Le-Wei Wong, Siow-Hui Mak, Bey‐Hing Goh, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 22-22
Open Access | Times Cited: 9
Artificial Bee Colony Optimized Deep Neural Network Model for Handling Imbalanced Stroke Data
Ajay Dev, Sanjay Kumar Malik
International Journal of E-Health and Medical Communications (2021) Vol. 12, Iss. 5, pp. 67-83
Open Access | Times Cited: 12
Development of rapid and effective risk prediction models for stroke in the Chinese population: a cross-sectional study
Yuexin Qiu, Shiqi Cheng, Yuhang Wu, et al.
BMJ Open (2023) Vol. 13, Iss. 3, pp. e068045-e068045
Open Access | Times Cited: 4
Machine learning-based survival analysis approaches for predicting the risk of pneumonia post-stroke discharge
Chang-Ching Lee, Sheng‐You Su, Sheng‐Feng Sung
International Journal of Medical Informatics (2024) Vol. 186, pp. 105422-105422
Closed Access | Times Cited: 1
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