
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:
Predictive modelling and identification of key risk factors for stroke using machine learning
Ahmad Hassan, Saima Gulzar Ahmad, Ehsan Ullah Munir, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Ahmad Hassan, Saima Gulzar Ahmad, Ehsan Ullah Munir, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Showing 13 citing articles:
Gradient Boosting for Heart Stroke Prediction: Investigating Unexpected Risk Factors
Aniket K. Shahade, Priyanka V. Deshmukh
Journal of Computer Science (2025) Vol. 21, Iss. 1, pp. 124-133
Open Access
Aniket K. Shahade, Priyanka V. Deshmukh
Journal of Computer Science (2025) Vol. 21, Iss. 1, pp. 124-133
Open Access
Development and validation of a machine learning‐based model of ischemic stroke risk in the Chinese elderly hypertensive population
Xiaoyue Lyu, Jie Liu, Yu Gou, et al.
View (2024)
Open Access | Times Cited: 4
Xiaoyue Lyu, Jie Liu, Yu Gou, et al.
View (2024)
Open Access | Times Cited: 4
Transforming Healthcare in Low‐Resource Settings With Artificial Intelligence: Recent Developments and Outcomes
Ravi Rai Dangi, Anil Sharma, Vipin Vageriya
Public Health Nursing (2024)
Closed Access | Times Cited: 4
Ravi Rai Dangi, Anil Sharma, Vipin Vageriya
Public Health Nursing (2024)
Closed Access | Times Cited: 4
Stroke Prediction Based on Machine Learning
Yuhan Zhang
ITM Web of Conferences (2025) Vol. 70, pp. 04029-04029
Open Access
Yuhan Zhang
ITM Web of Conferences (2025) Vol. 70, pp. 04029-04029
Open Access
Optimizing Stroke Prediction using Gated Recurrent Unit and Feature Selection in Sub-Saharan Africa
Afeez A. Soladoye, David B. Olawade, Ibrahim Adeyanju, et al.
Clinical Neurology and Neurosurgery (2025), pp. 108761-108761
Open Access
Afeez A. Soladoye, David B. Olawade, Ibrahim Adeyanju, et al.
Clinical Neurology and Neurosurgery (2025), pp. 108761-108761
Open Access
Enhanced Model for Gestational Diabetes Mellitus Prediction Using a Fusion Technique of Multiple Algorithms with Explainability
Ahmad Hassan, Saima Gulzar Ahmad, Tassawar Iqbal, et al.
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Ahmad Hassan, Saima Gulzar Ahmad, Tassawar Iqbal, et al.
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Automatic categorization of medical documents in Afaan Oromo using ensemble machine learning techniques
Etana Fikadu Dinsa, Mrinal Kanti Das, Teklu Urgessa Abebe, et al.
Deleted Journal (2024) Vol. 6, Iss. 11
Open Access | Times Cited: 1
Etana Fikadu Dinsa, Mrinal Kanti Das, Teklu Urgessa Abebe, et al.
Deleted Journal (2024) Vol. 6, Iss. 11
Open Access | Times Cited: 1
Artificial intelligence and stroke imaging
Jane Maryam Rondina, Parashkev Nachev
Current Opinion in Neurology (2024) Vol. 38, Iss. 1, pp. 40-46
Open Access | Times Cited: 1
Jane Maryam Rondina, Parashkev Nachev
Current Opinion in Neurology (2024) Vol. 38, Iss. 1, pp. 40-46
Open Access | Times Cited: 1
Stroke Dataset Modeling: Comparative Study of Machine Learning Classification Methods
Kalina Kitova, Ivan Ivanov, Vincent J. Hooper
Algorithms (2024) Vol. 17, Iss. 12, pp. 571-571
Open Access | Times Cited: 1
Kalina Kitova, Ivan Ivanov, Vincent J. Hooper
Algorithms (2024) Vol. 17, Iss. 12, pp. 571-571
Open Access | Times Cited: 1
Machine Learning for Disease Prediction: An Overview
Shalini Priya, D Amuthaguka
(2024), pp. 1726-1731
Closed Access
Shalini Priya, D Amuthaguka
(2024), pp. 1726-1731
Closed Access
Predicting stroke severity of patients using interpretable machine learning algorithms
Amir Sorayaie Azar, Tahereh Samimi, Ghanbar Tavassoli, et al.
European journal of medical research (2024) Vol. 29, Iss. 1
Open Access
Amir Sorayaie Azar, Tahereh Samimi, Ghanbar Tavassoli, et al.
European journal of medical research (2024) Vol. 29, Iss. 1
Open Access
Identifying predictors of stroke in young adults: a machine learning analysis of sex-specific risk factors
Molly Jacobs, Noah Hammarlund, Elizabeth F. Wilkens Evans, et al.
Frontiers in Stroke (2024) Vol. 3
Open Access
Molly Jacobs, Noah Hammarlund, Elizabeth F. Wilkens Evans, et al.
Frontiers in Stroke (2024) Vol. 3
Open Access
A Novel Deep Learning Approach for Yarn Hairiness Characterization Using an Improved YOLOv5 Algorithm
Filipe Pereira, Helena Lopes, Leandro Pinto, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 149-149
Open Access
Filipe Pereira, Helena Lopes, Leandro Pinto, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 149-149
Open Access