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:

Stroke mortality prediction using machine learning: systematic review
Lihi Schwartz, Roi Anteby, Eyal Klang, et al.
Journal of the Neurological Sciences (2022) Vol. 444, pp. 120529-120529
Closed Access | Times Cited: 13

Showing 13 citing articles:

Machine learning-driven predictions and interventions for cardiovascular occlusions
Anvin Thomas, Rejath Jose, Faiz Syed, et al.
Technology and Health Care (2024) Vol. 32, Iss. 5, pp. 3535-3556
Closed Access | Times Cited: 4

A comprehensive analysis of stroke risk factors and development of a predictive model using machine learning approaches
Sihong Xie, Shuting Peng, Long Zhao, et al.
Molecular Genetics and Genomics (2025) Vol. 300, Iss. 1
Open Access

Predicting mortality in brain stroke patients using neural networks: outcomes analysis in a longitudinal study
Nasrin Someeh, Mani Mirfeizi, Mohammad Asghari Jafarabadi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10

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

Outcomes of Symptomatic Intracranial Large Artery Stenoses: a Prospective Cohort Study from The Asian Registry of Intracranial Atherosclerosis (ARICAS)
Jose C. Navarro, Jeyaraj Pandian, Nijasri C. Suwanwela, et al.
Cerebrovascular Diseases Extra (2024) Vol. 15, Iss. 1, pp. 30-38
Open Access | Times Cited: 1

Developing and externally validating a machine learning risk prediction model for 30-day mortality after stroke using national stroke registers in the UK and Sweden
Wenjuan Wang, Josline Adhiambo Otieno, Marie Eriksson, et al.
BMJ Open (2023) Vol. 13, Iss. 11, pp. e069811-e069811
Open Access | Times Cited: 3

Machine-Learning Application for Detection and Prediction of Stroke Risk and Post-Stroke Outcomes: A Comprehensive Review
Teopolina Nantinda, Attlee M. Gamundani, Maria Nelago Kanyama
(2024), pp. 1-9
Closed Access

Prädiktoren für die Folgen eines Schlaganfalls: eine systematische Literaturübersicht für GKV-Routinedatenanalysen
Birthe Aufenberg, Juliane Düvel, Pia Morthorst, et al.
Gesundheitsökonomie & Qualitätsmanagement (2024)
Closed Access

Machine Learning in Diabetes Modeling
Sina Ardabili, Amirhosein Mosavi, Imre Felde
(2023), pp. 000487-000494
Closed Access

Page 1

Scroll to top