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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:

A Stroke Risk Detection: Improving Hybrid Feature Selection Method
Yonglai Zhang, Yaojian Zhou, Dongsong Zhang, et al.
Journal of Medical Internet Research (2019) Vol. 21, Iss. 4, pp. e12437-e12437
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Analyzing the impact of feature selection on the accuracy of heart disease prediction
Muhammad Salman Pathan, Avishek Nag, Muhammad Mohisn Pathan, et al.
Healthcare Analytics (2022) Vol. 2, pp. 100060-100060
Open Access | Times Cited: 103
Artificial Intelligence in Acute Ischemic Stroke Subtypes According to Toast Classification: A Comprehensive Narrative Review
Giuseppe Miceli, Maria Grazia Basso, Giuliana Rizzo, et al.
Biomedicines (2023) Vol. 11, Iss. 4, pp. 1138-1138
Open Access | Times Cited: 23
A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients
Angier Allen, Anna Siefkas, Emily Pellegrini, et al.
Applied Sciences (2021) Vol. 11, Iss. 12, pp. 5576-5576
Open Access | Times Cited: 46
Diagnostic Classification and Prognostic Prediction Using Common Genetic Variants in Autism Spectrum Disorder: Genotype-Based Deep Learning
Haishuai Wang, Paul Avillach
JMIR Medical Informatics (2021) Vol. 9, Iss. 4, pp. e24754-e24754
Open Access | Times Cited: 45
Using machine learning models to improve stroke risk level classification methods of China national stroke screening
Xuemeng Li, Di Bian, Jinghui Yu, et al.
BMC Medical Informatics and Decision Making (2019) Vol. 19, Iss. 1
Open Access | Times Cited: 47
Identifying Stroke Indicators Using Rough Sets
Muhammad Salman Pathan, Jianbiao Zhang, Deepu John, et al.
IEEE Access (2020) Vol. 8, pp. 210318-210327
Open Access | Times Cited: 39
Exploring Important Factors in Predicting Heart Disease Based on Ensemble- Extra Feature Selection Approach
Howida Abubaker, Farkhana Muchtar, Alif Ridzuan Khairuddin, et al.
Baghdad Science Journal (2024) Vol. 21, Iss. 2(SI), pp. 0812-0812
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
A hybrid system to predict brain stroke using a combined feature selection and classifier
Priyanka Bathla, Rajneesh Kumar
Intelligent Medicine (2023) Vol. 4, Iss. 2, pp. 75-82
Open Access | Times Cited: 10
A Machine Learning Approach to Support Urgent Stroke Triage Using Administrative Data and Social Determinants of Health at Hospital Presentation: Retrospective Study
Min Chen, Xuan Tan, Rema Padman
Journal of Medical Internet Research (2023) Vol. 25, pp. e36477-e36477
Open Access | Times Cited: 7
Detection of Stroke in Brain CT with Fused Deep-Features and Hummingbird Optimizer
Swaetha Ramadasan, Manigandan Ramadasan, K. Vijayakumar, et al.
2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) (2023), pp. 1-5
Closed Access | Times Cited: 7
Use of a Smartphone Platform to Help With Emergency Management of Acute Ischemic Stroke: Observational Study
Yiqun Wu, Fei Chen, Haiqing Song, et al.
JMIR mhealth and uhealth (2021) Vol. 9, Iss. 2, pp. e25488-e25488
Open Access | Times Cited: 11
Stroke Outcome Measurements From Electronic Medical Records: Cross-sectional Study on the Effectiveness of Neural and Nonneural Classifiers
Bruna Stella Zanotto, Ana Paula Beck da Silva Etges, Avner Dal Bosco, et al.
JMIR Medical Informatics (2021) Vol. 9, Iss. 11, pp. e29120-e29120
Open Access | Times Cited: 11
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
Evaluation of ECG Features for the Classification of Post-Stroke Survivors with a Diagnostic Approach
Kalaivani Rathakrishnan, Seung Nam Min, Se Jin Park
Applied Sciences (2020) Vol. 11, Iss. 1, pp. 192-192
Open Access | Times Cited: 8
Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine
Vida Abedi, Seyed‐Mostafa Razavi, Ayesha Khan, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 23, pp. 5710-5710
Open Access | Times Cited: 7
An Improved Data Classification in Edge Cloud-Assisted IoMT: Leveraging Machine Learning and Feature Selection
Abdelkarim Ait Temghart, Mbarek Marwan, Mohamed Baslam
Studies in computational intelligence (2024), pp. 156-165
Closed Access
Machine Learning Prediction of Stroke Occurrence: A Systematic Review
Sermkiat Lolak, Chaiyawat Suppasilp, Napaphat Poprom, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
An Ensemble-Based Extra Feature Selection Approach for Predicting Heart Disease
Howida Abubaker, Jyotsna Singh, Farkhana Muchtar, et al.
Lecture notes in electrical engineering (2024), pp. 551-563
Closed Access
Predicting Mental Health Disorders in the Technical Workplace: A Study on Feature Selection and Classification Algorithms
Sumitra Mallick, Mrutyunjaya Panda
Lecture notes in networks and systems (2024), pp. 169-183
Closed Access
Detection of Cardiac problems by the Extraction of Multimodal functions and Machine Learning techniques
Hemant Kasturiwale, Sujata N. Kale
IOP Conference Series Materials Science and Engineering (2021) Vol. 1022, Iss. 1, pp. 012124-012124
Open Access | Times Cited: 4
Stroke Outcome Measurements From Electronic Medical Records: Cross-sectional Study on the Effectiveness of Neural and Nonneural Classifiers (Preprint)
Bruna Stella Zanotto, Ana Paula Beck da Silva Etges, Avner Dal Bosco, et al.
(2021)
Open Access | Times Cited: 2
Accurate estimation of stroke risk with fuzzy clustering and ensemble learning methods
Anıl Akyel
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103764-103764
Closed Access | Times Cited: 1
Machine Learning on Stroke Risk Prediction Systems as Complementary Technology for Neurologists: A Critical Review
Chrischell B. Lucas, Kathrina Clarisse Padrique, Mariah Christa G. Lansangan, et al.
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (2022), pp. 1-6
Closed Access | Times Cited: 1
Predicting Alzheimer's Disease Using Filter Feature Selection Method
Shaymaa Taha Ahmed, Suhad Malallah Kadhem
Iraqi Journal of Computer Communication Control and System Engineering (2022), pp. 13-27
Open Access | Times Cited: 1
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