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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 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

Showing 17 citing articles:

Machine Learning-Based Predictive Models for Detection of Cardiovascular Diseases
Adedayo Ogunpola, Faisal Saeed, Shadi Basurra, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 144-144
Open Access | Times Cited: 45
A Deep Auto-Optimized Collaborative Learning (DACL) model for disease prognosis using AI-IoMT systems
Malarvizhi Nandagopal, Koteeswaran Seerangan, Tamilmani Govindaraju, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning
Ke Qi
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
An explainable artificial intelligence and Internet of Things framework for monitoring and predicting cardiovascular disease
Mubarak Albarka Umar, Najah AbuAli, Khaled Shuaib, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110138-110138
Open Access
Transforming Urban Sanitation: Enhancing Sustainability through Machine Learning-Driven Waste Processing
Dhanvanth Kumar Gude, Harshavardan Bandari, Anjani Kumar Reddy Challa, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7626-7626
Open Access | Times Cited: 3
Toward the Internet of Medical Things: Architecture, trends and challenges
Qinwang Niu, Haoyue Li, Yu Liu, et al.
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 650-678
Open Access | Times Cited: 6
Comparison of Machine Learning Algorithms for Heartbeat Detection Based on Accelerometric Signals Produced by a Smart Bed
Minh Long Hoang, Guido Matrella, Paolo Ciampolini
Sensors (2024) Vol. 24, Iss. 6, pp. 1900-1900
Open Access | Times Cited: 1
Implication of analysisof machine learning models for predicting the risk of cardiovascular disease by considering lifestyle factors and featuresselection
Padma Mishra
(2024), pp. 8286-8298
Open Access
Assessment of Cardiovascular Disease Using Machine Learning
Divya Adusumilli, Sree Lakshmi Damineni, K. Swathi, et al.
Revue d intelligence artificielle (2024) Vol. 38, Iss. 3, pp. 1035-1043
Open Access
Scalable Image Processing with Apache Spark and Convolutional Neural Networks
Deepika Sharma, Ruchira Rawat, Zaid Alsalami, et al.
(2024), pp. 1-6
Closed Access
Classification of Cardiovascular Diseases from Magnetic Resonance Imaging using Classifiers
M. Sowmiya, Banu Rekha B, S Dheepak, et al.
(2024), pp. 528-533
Closed Access
Comprehensive Analysis of Cardiovascular Diseases: Symptoms, Diagnosis, and AI Innovations
Muhammad Raheel Khan, Zunaib Maqsood Haider, Jawad Hussain, et al.
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1239-1239
Open Access
How does the precise prediction of preeclampsia onset aid the overall management of preeclampsia?
Yoshitsugu Chigusa
Hypertension Research (2024) Vol. 47, Iss. 5, pp. 1420-1421
Open Access
Leveraging fuzzy embedded wavelet neural network with multi-criteria decision-making approach for coronary artery disease prediction using biomedical data
Mahmoud Ragab, Sami Saeed Binyamin, Wajdi Alghamdi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Core characteristics of sublingual veins analysis and its relationship with hypertension
Yu Wang, Jun Li, Yulin Shi, et al.
Technology and Health Care (2023) Vol. 32, Iss. 3, pp. 1641-1656
Closed Access
Real-Time Monitoring and Anomaly Detection in Hospital IoT Networks Using Machine Learning
G. Ranjith Kumar, Navnath Sopan Govekar, A. Karthik, et al.
(2023), pp. 1-8
Closed Access
Breaking Barriers in Cardiovascular Diagnosis: Cloud-Based Decision Trees Algorithm for Precision Medicine in Heart Disease
Sapna S Basavaraddi, Akhil Raju
(2023), pp. 1-6
Closed Access
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