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 brain stroke detection model using soft voting based ensemble machine learning classifier
A. Srinivas, Joseph Prakash Mosiganti
Measurement Sensors (2023) Vol. 29, pp. 100871-100871
Open Access | Times Cited: 19

Showing 19 citing articles:

Slope stability prediction based on GSOEM-SV: A mobile application practicably deploy in engineering verification
Xiaolong Wang, Shunchuan Wu, Longqiang Han, et al.
Advances in Engineering Software (2024) Vol. 192, pp. 103648-103648
Closed Access | Times Cited: 4

Insights into Advances and Applications of Biomaterials for Nerve Tissue Injuries and Neurodegenerative Disorders
Varsha Pai, Bhisham Narayan Singh, Abhishek Kumar Singh
Macromolecular Bioscience (2024)
Open Access | Times Cited: 4

A Low-cost Autonomous Portable Poultry EGG Freshness Machine Using Majority Voting-Based Ensemble Machine Learning Classifiers
Jirayut Hansot, Wongsakorn Wongsaroj, Thaksin Sangsuwan, et al.
Smart Agricultural Technology (2025), pp. 100768-100768
Open Access

Early brain stroke detection using multilayer perceptron of convolutional neural network-based residual network
Usha Sree, Praveen Krishna, Mallik Arjuna, et al.
Technology and Health Care (2025)
Closed Access

From Omics Data to Candidate Genes: An Innovative Machine Learning Approach for Biomarker Identification
Ana Duarte, Orlando Belo
Lecture notes in computer science (2025), pp. 270-278
Closed Access

Comparison of Machine Learning and Deep Learning Techniques for Stroke Prediction
Süphan Yakut, Necaattin Barışçı
Uluslararası mühendislik araştırma ve geliştirme dergisi (2025) Vol. 17, Iss. 1, pp. 11-27
Open Access

Machine learning-based prediction of length of stay (LoS) in the neonatal intensive care unit using ensemble methods
Ayşe Yildirim, Murat Canayaz
Neural Computing and Applications (2024) Vol. 36, Iss. 23, pp. 14433-14448
Open Access | Times Cited: 1

Optimizing Breast Cancer Diagnosis: Harnessing the Power of Nature-Inspired Metaheuristics for Feature Selection with Soft Voting Classifiers
Salsabila Benghazouani, Said Nouh, Abdelali Zakrani
International Journal of Cognitive Computing in Engineering (2024)
Open Access | Times Cited: 1

Explainable and Interpretable Model for the Early Detection of Brain Stroke Using Optimized Boosting Algorithms
Yogita Dubey, Yashraj Tarte, Nikhil Talatule, et al.
Diagnostics (2024) Vol. 14, Iss. 22, pp. 2514-2514
Open Access | Times Cited: 1

Human Brain Stroke Prediction using Machine Learning Methods with Synthetic Minority Oversampling Approach
Muhammad Mujahid, Noor Ayesha, Ahmad Taher Azar, et al.
(2024), pp. 84-89
Closed Access

Brain Stroke Prediction Using Machine Learning
R. Aarthi, P. Vanitha, P. Rajalakshmi, et al.
Lecture notes in networks and systems (2024), pp. 296-304
Closed Access

Ensembled Machine Learning Methods and Feature Extraction Approaches for Suicide-Related Social Media
Merinda Lestandy, Abdurrahim Abdurrahim, Amrul Faruq, et al.
Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) (2024) Vol. 13, Iss. 2, pp. 192-203
Open Access

Application of Machine Learning in Identifying Brain Strokes
Shrihari Vasudevan, C Sneka, Venkata Sairam, et al.
(2024), pp. 1-7
Closed Access

A Novel Method for Knitted Fabric Defect Classification Using Image Processing and Weighted Voting Classifiers
Rungrot Suphongwibunphan, Thaksin Sangsuwan, Jirayut Hansot, et al.
Journal Européen des Systèmes Automatisés (2024) Vol. 57, Iss. 4, pp. 1047-1056
Open Access

Exploring Feature Relationships in Brain Stroke Data Using Polynomial Feature Transformation and Linear Regression Modeling
Sitanaboina S L Parvathi, Aruna Devi B, Gururaj L. Kulkarni, et al.
Journal of Machine and Computing (2024), pp. 1158-1169
Open Access

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