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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:

Smart wearable model for predicting heart disease using machine learning
S. V. Jansi Rani, K. R. Chandran, Akshaya Ranganathan, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 13, Iss. 9, pp. 4321-4332
Closed Access | Times Cited: 15

Showing 15 citing articles:

Smart Wearables for the Detection of Cardiovascular Diseases: A Systematic Literature Review
Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 828-828
Open Access | Times Cited: 64
Modified Self-Adaptive Bayesian Algorithm for Smart Heart Disease Prediction in IoT System
Ahmad F. Subahi, Osamah Ibrahim Khalaf, Youseef Alotaibi, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 14208-14208
Open Access | Times Cited: 43
A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases
Alejandra Cuevas-Chávez, Yasmín Hernández, Javier Ortiz-Hernández, et al.
Healthcare (2023) Vol. 11, Iss. 16, pp. 2240-2240
Open Access | Times Cited: 17
A heart disease prognosis pipeline for the edge using federated learning
P. R. Mahalingam, J. Dheeba
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 7, pp. 100490-100490
Open Access | Times Cited: 7
Feature elimination and stacking framework for accurate heart disease detection in IoT healthcare systems using clinical data
Jian Wang, Jianping Li, Amin Ul Haq, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 4
An intelligent hybrid classification model for heart disease detection using imbalanced electrocardiogram signals
Shwet Ketu, Pramod Kumar Mishra
The Journal of Supercomputing (2023) Vol. 80, Iss. 3, pp. 4286-4308
Closed Access | Times Cited: 7
Artificial Intelligence for Risk Assessment on Primary Prevention of Coronary Artery Disease
Shang‐Fu Chen, Salvatore Loguercio, Kaiyu Chen, et al.
Current Cardiovascular Risk Reports (2023) Vol. 17, Iss. 12, pp. 215-231
Open Access | Times Cited: 6
An Effective Framework for Predicting Stroke Prediction using Machine Learning Technique
Santosh Kumar Satapathy, Hari Kishan Kondaveeti, Drashti Parmar
(2023), pp. 01-08
Closed Access | Times Cited: 2
Cardiovascular Disease Detection Using Machine Learning
Dhruvisha Mondhe
Studies in autonomic, data-driven and industrial computing (2023), pp. 243-252
Closed Access | Times Cited: 2
An Investigation into the Rise of Wearable Technologies in the Healthcare Sector
Abhishek Sharma, Kunnumpurath Bijo, Shisir Prasad Manandhar, et al.
Lecture notes in computer science (2024), pp. 203-220
Closed Access
Enhanced K-Nearest Neighbors for Smart Cardiovascular Disease Prediction in IoT System
Farida Brahimi, Aicha Aid, Mourad Amad, et al.
Revue d intelligence artificielle (2024) Vol. 38, Iss. 4, pp. 1305-1318
Open Access
AE-Obi-LSTM: An Efficient IOT Wearable Devices for Cardiovascular Disease Prediction
N. Divya, N. Suresh Kumar, R. Kanniga Devi, et al.
Lecture notes in computer science (2024), pp. 182-199
Closed Access
Prediction of Heart Disease using Computational Algorithms
Vartika Mudgal Dr. G. Shobha, C Smitha, Ashwini Kodipalli
(2022), pp. 287-292
Closed Access | Times Cited: 1
A Novel IoT-based Monitoring Device for Effective Prediction of Heart Failure
R.A. Bhongade, Jagdeesh Goyal, Santosh Sharma
Cardiometry (2023), Iss. 26, pp. 309-314
Closed Access
Prediction of Heart Disease Using Machine Learning Algorithms
Islam Daoud Suliman, D. Vasumathi
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access
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