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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 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

Showing 1-25 of 47 citing articles:

Stroke Risk Prediction with Machine Learning Techniques
Ηλίας Δρίτσας, Μαρία Τρίγκα
Sensors (2022) Vol. 22, Iss. 13, pp. 4670-4670
Open Access | Times Cited: 166
Deep Learning-Based Stroke Disease Prediction System Using Real-Time Bio Signals
Yoona Choi, Se Jin Park, Jong-Arm Jun, et al.
Sensors (2021) Vol. 21, Iss. 13, pp. 4269-4269
Open Access | Times Cited: 81
Isolation Forest-Voting Fusion-Multioutput: A stroke risk classification method based on the multidimensional output of abnormal sample detection
Hai He, Haibo Yang, Francesco Mercaldo, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 253, pp. 108255-108255
Closed Access | Times Cited: 10
Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults
Matthew Chun, Robert Clarke, Benjamin J. Cairns, et al.
Journal of the American Medical Informatics Association (2021) Vol. 28, Iss. 8, pp. 1719-1727
Open Access | Times Cited: 50
Deep learning-driven diagnosis: A multi-task approach for segmenting stroke and Bell's palsy
Sabina Umirzakova, Shabir Ahmad, Sevara Mardieva, et al.
Pattern Recognition (2023) Vol. 144, pp. 109866-109866
Open Access | Times Cited: 18
A comparative study of machine learning approaches for heart stroke prediction
Madhab Chandra Das, Fatema Tabassum Liza, Partha Pratim Pandit, et al.
(2023)
Closed Access | Times Cited: 13
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
Application of machine learning in measurement of ageing and geriatric diseases: a systematic review
A. Das, Preeti Dhillon
BMC Geriatrics (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 11
Hybrid deep learning and metaheuristic model based stroke diagnosis system using electroencephalogram (EEG)
Aktham Sawan, Mohammed Awad, Radwan Qasrawi, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105454-105454
Closed Access | Times Cited: 9
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: 13
Real-Time Remote Patient Monitoring and Alarming System for Noncommunicable Lifestyle Diseases
Htet Yamin Ko Ko, Nitin Kumar Tripathi, Chitrini Mozumder, et al.
International Journal of Telemedicine and Applications (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 6
RDET stacking classifier: a novel machine learning based approach for stroke prediction using imbalance data
Amjad Rehman, Teg Alam, Muhammad Mujahid, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1684-e1684
Open Access | Times Cited: 6
Machine learning models for screening carotid atherosclerosis in asymptomatic adults
Jian Yu, Yan Zhou, Qiong Yang, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 15
Positive Effect of α-Asaronol on the Incidence of Post-Stroke Epilepsy for Rat with Cerebral Ischemia-Reperfusion Injury
Lan Jiang, Xiangnan Hu
Molecules (2022) Vol. 27, Iss. 6, pp. 1984-1984
Open Access | Times Cited: 9
Machine Learning for Brain Stroke Prediction
Shehzada Mushtaq, Kamaljit Singh Saini, Saimul Bashir
(2023), pp. 401-408
Closed Access | Times Cited: 5
Cluster-based information fusion for probabilistic risk analysis in complex projects under uncertainty
Limao Zhang, Ying Wang, Xianguo Wu
Applied Soft Computing (2021) Vol. 104, pp. 107189-107189
Closed 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
Predicting Recurrence for Patients With Ischemic Cerebrovascular Events Based on Process Discovery and Transfer Learning
Haifeng Xu, Jianfei Pang, Weiliang Zhang, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 7, pp. 2445-2453
Closed Access | Times Cited: 9
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
Analysis of main risk factors causing stroke in Shanxi Province based on machine learning models
Junjie Liu, Yiyang Sun, Jing Ma, et al.
Informatics in Medicine Unlocked (2021) Vol. 26, pp. 100712-100712
Open Access | Times Cited: 8
Application of machine learning-based models to boost the predictive power of the SPAN index
Chen‐Chih Chung, Oluwaseun Adebayo Bamodu, Chien‐Tai Hong, et al.
International Journal of Neuroscience (2021) Vol. 133, Iss. 1, pp. 26-36
Closed Access | Times Cited: 7
A review of risk concepts and models for predicting the risk of primary stroke
Elizabeth Hunter, John D. Kelleher
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 5
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
An Analysis of Risk Factors Affecting Cerebrovascular Disease
Kazumitsu Nawata
Health (2022) Vol. 14, Iss. 08, pp. 866-882
Open Access | Times Cited: 4
Enhancing Stroke Prediction through Interpretable AI: Distinguishing Stroke Cases from Non-Stroke Cases
Nazmin Islam, Hafsa Binte Kibria
2019 4th International Conference on Electrical Information and Communication Technology (EICT) (2023), pp. 1-6
Closed Access | Times Cited: 2
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