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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:

Early Prediction in Classification of Cardiovascular Diseases with Machine Learning, Neuro-Fuzzy and Statistical Methods
Osman Taylan, Abdulaziz S. Alkabaa, Hanan Saud Alqabbaa, et al.
Biology (2023) Vol. 12, Iss. 1, pp. 117-117
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients
Muhammad Zia Ur Rahman, Muhammad Azeem Akbar, Víctor Leiva, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106583-106583
Open Access | Times Cited: 58
A Technical Comparative Heart Disease Prediction Framework Using Boosting Ensemble Techniques
Najmu Nissa, Sanjay Jamwal, Mehdi Neshat
Computation (2024) Vol. 12, Iss. 1, pp. 15-15
Open Access | Times Cited: 6
PREDICTING THE PREVALENCE OF CARDIOVASCULAR DISEASES USING MACHINE LEARNING ALGORITHMS
Bernada E Sianga, Maurice C. Y. Mbago, Amina S. Msengwa
Intelligence-Based Medicine (2025), pp. 100199-100199
Open Access
Predicting incident cardio-metabolic disease among persons with and without depressive and anxiety disorders: a machine learning approach
Arja O. Rydin, George Aalbers, Wessel A. van Eeden, et al.
Social Psychiatry and Psychiatric Epidemiology (2025)
Open Access
Assessing the Impact of Artificial Intelligence Applications on Diagnostic Accuracy in Saudi Arabian Healthcare: A Systematic Review
Moutaz Abdulrahman Alqurashi, Salah Alshagrawi
The Open Public Health Journal (2025) Vol. 18, Iss. 1
Open Access
CADNet: cardiac arrhythmia detection and classification using unified principal component analysis and 1D-CNN model
Subba Reddy Borra, Dasari Ramesh Gari Amrutha Nayana, S. Srinidhi, et al.
Research on Biomedical Engineering (2024) Vol. 40, Iss. 2, pp. 317-329
Closed Access | Times Cited: 4
Early detection of cardiorespiratory complications and training monitoring using wearable ECG sensors and CNN
HongYuan Lu, XinMiao Feng, Jing Zhang
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Detection of cardiovascular disease using deep learning-based attention-guided bi-LSTM with electrocardiogram signals
P. Poonkodi, Manoj Chouhan, M. Carmel Sobia, et al.
Intelligent Decision Technologies (2025)
Closed Access
Optimizing the Economic Order Quantity Using Fuzzy Theory and Machine Learning Applied to a Pharmaceutical Framework
K. Kalaiarasi, Soundaria Ramalingam, Prasantha Bharathi Dhandapani, et al.
Mathematics (2024) Vol. 12, Iss. 6, pp. 819-819
Open Access | Times Cited: 3
CardioRiskNet: A Hybrid AI-Based Model for Explainable Risk Prediction and Prognosis in Cardiovascular Disease
Fatma M. Talaat, Ahmed R. Elnaggar, Warda M. Shaban, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 822-822
Open Access | Times Cited: 3
Grey wolf optimized stacked ensemble machine learning based model for enhanced efficiency and reliability of predicting early heart disease
Geetha Narasimhan, Akila Victor
Automatika (2024) Vol. 65, Iss. 3, pp. 749-762
Open Access | Times Cited: 2
Detection and Classification of electrocardiography using hybrid deep learning models
S Immaculate Joy, M. Moorthi, Senthil Kumar K
Hellenic Journal of Cardiology (2024)
Open Access | Times Cited: 2
Machine Learning based Prediction and Diagnosis of Heart Disease using multiple models
Jyoti Maurya, Shiva Prakash
Research Square (Research Square) (2023)
Open Access | Times Cited: 6
On the Use of Machine Learning Techniques and Non-Invasive Indicators for Classifying and Predicting Cardiac Disorders
Raydonal Ospina, A. Ferreira, H. M. de Oliveira, et al.
Biomedicines (2023) Vol. 11, Iss. 10, pp. 2604-2604
Open Access | Times Cited: 5
An efficient heart disease prediction model using particle swarm–optimized ensemble classifier model
Priyanka Dhaka, Ruchi Sehrawat, Priyanka Bhutani
Elsevier eBooks (2024), pp. 123-135
Closed Access | Times Cited: 1
lncRNA HOTAIR and Cardiovascular diseases
Sina Taghvimi, Elahe Soltani Fard, Seyyed Hossein Khatami, et al.
Functional & Integrative Genomics (2024) Vol. 24, Iss. 5
Closed Access | Times Cited: 1
Effective cardiac disease classification using FS-XGB and GWO approach
S. Daphin Lilda, R Jayaparvathy
Medical Engineering & Physics (2024) Vol. 132, pp. 104239-104239
Closed Access | Times Cited: 1
Machine learning based assessment of preclinical health questionnaires
Călin Avram, Adrian Gligor, Dumitru Roman, et al.
International Journal of Medical Informatics (2023) Vol. 180, pp. 105248-105248
Open Access | Times Cited: 3
Fuzzy entropy DEMATEL inference system for accurate and efficient cardiovascular disease diagnosis
Stephen Mariadoss, A. Felix
Computer Methods in Biomechanics & Biomedical Engineering (2023), pp. 1-32
Closed Access | Times Cited: 2
A new taxonomy of global software development best practices using prioritization based on a fuzzy system
Muhammad Azeem Akbar, Víctor Leiva
Journal of Software Evolution and Process (2023) Vol. 36, Iss. 3
Closed Access | Times Cited: 2
The Comparative Early Prediction Model for Cardiovascular Disease Using Machine Learning
Sri Sumarlinda, Azizah Rahmat, Zalizah binti Awang Long, et al.
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024), pp. 24-33
Open Access
Investigating the Use of Deep Learning Networks to Classify Cardiovascular Diseases
M Karthikeyan, Pavan Chaudhary, Meenakshi Dheer
(2024), pp. 1-6
Closed Access
Performance Evaluation of Machine Learning Model in Predicting Heart Disease Prevalent
O.A. Abiola, R. Oluwatoyin Adebisi, Adetoye Adeyemo
Advances in Multidisciplinary & Scientific Research Journal Publication (2024) Vol. 15, Iss. 1, pp. 63-72
Open Access
Performance Evaluation of Machine Learning Model in Predicting Heart Disease Prevalent
O. Arowolo Abiola, R. Oluwatoyin Adebisi, Adetoye Adeyemo
Advances in Multidisciplinary & Scientific Research Journal Publication (2024) Vol. 15, Iss. 1, pp. 67-72
Open Access
Network Inference Using Deep Reinforcement Learning for Early Disease Detection
Jyotirmaya Sahoo, Chandra Prakash Lora, Amar Shankar
(2024), pp. 1-6
Closed Access
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