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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:

The Probability of Ischaemic Stroke Prediction with a Multi-Neural-Network Model
Yan Liu, Bo Yin, Yanping Cong
Sensors (2020) Vol. 20, Iss. 17, pp. 4995-4995
Open Access | Times Cited: 16

Showing 16 citing articles:

Analysis of Publication Activity and Research Trends in the Field of AI Medical Applications: Network Approach
О Э Карпов, Elena Pitsik, Semen Kurkin, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 7, pp. 5335-5335
Open Access | Times Cited: 26
Exploring Machine Learning for Predicting Cerebral Stroke: A Study in Discovery
Md. Rajib Mia, Salma Khanam, Amira Mahjabeen, et al.
Electronics (2024) Vol. 13, Iss. 4, pp. 686-686
Open Access | Times Cited: 7
NeuroHealth Guardian: A Novel Hybrid Approach for Precision Brain Stroke Prediction and Healthcare Analytics
Umar Islam, Gulzar Mehmood, Abdullah A Al-Atawi, et al.
Journal of Neuroscience Methods (2024) Vol. 409, pp. 110210-110210
Closed Access | Times Cited: 7
Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction
Yun-Hsuan Chen, Mohamad Sawan
Sensors (2021) Vol. 21, Iss. 2, pp. 460-460
Open Access | Times Cited: 32
Machine Learning-Based Wearable Devices for Smart Healthcare Application With Risk Factor Monitoring
Suja A. Alex, S. Ponkamali, T. R. Andrew, et al.
Advances in logistics, operations, and management science book series (2022), pp. 174-185
Closed Access | Times Cited: 19
Automatic knowledge extraction from Chinese electronic medical records and rheumatoid arthritis knowledge graph construction
Feifei Liu, Mingtong Liu, Meiting Li, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 6, pp. 3873-3890
Open Access | Times Cited: 11
Development and validation of a nomogram for predicting 28-day mortality in patients with ischemic stroke
Lingyan Fang, Menglu Zhou, Fengkai Mao, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0302227-e0302227
Open Access | Times Cited: 4
Machine learning to predict stroke risk from routine hospital data: A systematic review
William Heseltine-Carp, Megan Courtman, Daniel Browning, et al.
International Journal of Medical Informatics (2025), pp. 105811-105811
Open Access
Two-step ultrasonic cavitation controlled delivery of brain exogenous nucleic acids for ischemic stroke using acoustic-cationic-polymeric-nanodroplets
Wei Dong, Guihu Wang, Yichao Chai, et al.
Drug Delivery and Translational Research (2025)
Open Access
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: 9
A stacked ensemble model for automatic stroke prediction using only raw electrocardiogram
Prashant Kunwar, Prakash Choudhary
Intelligent Systems with Applications (2022) Vol. 17, pp. 200165-200165
Open Access | Times Cited: 14
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: 11
Brain Stroke Classification using One Dimensional Convolutional Neural Network
Naufal Riz Kifli, Haryanto Hidayat, Rahmawati Rahmawati, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 5
Predictive Modeling of Cerebral Strokes: An ADASYN-RF Approach for Imbalanced Data
Muhammad Abdullah Aish
VFAST Transactions on Software Engineering (2024) Vol. 12, Iss. 4, pp. 12-26
Open Access
AI-Based Heart Disease and Brain Stroke Prediction Using Multi-modal Patient Data
Gizeaddis Lamesgin Simegn, Mizanu Zelalem Degu
Communications in computer and information science (2023), pp. 67-78
Closed Access
Influence of Healthcare Organization Factors on Cardiovascular Diseases Mortality
Oleg Metsker, Georgy Kopanitsa
Studies in health technology and informatics (2021)
Open Access
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