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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 new machine learning technique for an accurate diagnosis of coronary artery disease
Moloud Abdar, Wojciech Książek, U. Rajendra Acharya, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 179, pp. 104992-104992
Closed Access | Times Cited: 291

Showing 1-25 of 291 citing articles:

Decision tree-based diagnosis of coronary artery disease: CART model
Mohammad M. Ghiasi, Sohrab Zendehboudi, Ali Asghar Mohsenipour
Computer Methods and Programs in Biomedicine (2020) Vol. 192, pp. 105400-105400
Closed Access | Times Cited: 226
Prediction of heart disease and classifiers’ sensitivity analysis
Khaled Mohamad Almustafa
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 140
The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review
Shaghayegh Shajari, Kirankumar Kuruvinashetti, Amin Komeili, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9498-9498
Open Access | Times Cited: 113
Classification of Monkeypox Images Based on Transfer Learning and the Al-Biruni Earth Radius Optimization Algorithm
Abdelaziz A. Abdelhamid, El-Sayed M. El-kenawy, Nima Khodadadi, et al.
Mathematics (2022) Vol. 10, Iss. 19, pp. 3614-3614
Open Access | Times Cited: 99
A Method for Improving Prediction of Human Heart Disease Using Machine Learning Algorithms
Abdul Saboor, Muhammad Usman, Sikandar Ali, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 92
Effective Class-Imbalance Learning Based on SMOTE and Convolutional Neural Networks
Javad Hassannataj Joloudari, Abdolreza Marefat, Mohammad Ali Nematollahi, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 4006-4006
Open Access | Times Cited: 69
Heart Diagnosis Using Deep Neural Network
Shachi Mall, Jagendra Singh
(2023), pp. 7-12
Closed Access | Times Cited: 49
Towards Diagnostic Aided Systems in Coronary Artery Disease Detection: A Comprehensive Multiview Survey of the State of the Art
Ali Garavand, Ali Behmanesh, Nasim Aslani, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-19
Open Access | Times Cited: 43
An Extensive Review of Machine Learning and Deep Learning Techniques on Heart Disease Classification and Prediction
Pooja Rani, Rajneesh Kumar, Anurag Jain, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3331-3349
Closed Access | Times Cited: 21
Revolutionary Point‐of‐Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies
Fatemeh Haghayegh, Alireza Norouziazad, Elnaz Haghani, et al.
Advanced Science (2024)
Open Access | Times Cited: 18
Improving an Intelligent Detection System for Coronary Heart Disease Using a Two-Tier Classifier Ensemble
Bayu Adhi Tama, Sun Im, Seung‐Chul Lee
BioMed Research International (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 135
Deep Reinforcement Learning for Economic Dispatch of Virtual Power Plant in Internet of Energy
Lin Lin, Xin Guan, Yu Peng, et al.
IEEE Internet of Things Journal (2020) Vol. 7, Iss. 7, pp. 6288-6301
Closed Access | Times Cited: 129
Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model
Javad Hassannataj Joloudari, Edris Hassannataj Joloudari, Hamid Saadatfar, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 3, pp. 731-731
Open Access | Times Cited: 127
ResNet‐Attention model for human authentication using ECG signals
Mohamed Hammad, Paweł Pławiak, Kuanquan Wang, et al.
Expert Systems (2020) Vol. 38, Iss. 6
Closed Access | Times Cited: 116
Data preprocessing for heart disease classification: A systematic literature review
H. Benhar, Ali Idri, José Luis Fernández‐Alemán
Computer Methods and Programs in Biomedicine (2020) Vol. 195, pp. 105635-105635
Closed Access | Times Cited: 107
Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach
Elham Nasarian, Moloud Abdar, Mohammad Amin Fahami, et al.
Pattern Recognition Letters (2020) Vol. 133, pp. 33-40
Closed Access | Times Cited: 105
Ensemble Deep Learning Models for Heart Disease Classification: A Case Study from Mexico
Asma Baccouche, Begonya García-Zapirain, Cristián Castillo-Olea, et al.
Information (2020) Vol. 11, Iss. 4, pp. 207-207
Open Access | Times Cited: 103
Smart Materials Enabled with Artificial Intelligence for Healthcare Wearables
Youbin Zheng, Ning Tang, Rawan Omar, et al.
Advanced Functional Materials (2021) Vol. 31, Iss. 51
Closed Access | Times Cited: 98
Analysis and Prediction of Cardio Vascular Disease using Machine Learning Classifiers
N. Komal Kumar, G.Sarika Sindhu, D.Krishna Prashanthi, et al.
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2020), pp. 15-21
Closed Access | Times Cited: 91
Ensemble of heterogeneous classifiers for diagnosis and prediction of coronary artery disease with reduced feature subset
Durgadevi Velusamy, Karthikeyan Ramasamy
Computer Methods and Programs in Biomedicine (2020) Vol. 198, pp. 105770-105770
Closed Access | Times Cited: 91
NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease
Moloud Abdar, U. Rajendra Acharya, Nizal Sarrafzadegan, et al.
IEEE Access (2019) Vol. 7, pp. 167605-167620
Open Access | Times Cited: 89
Quadratic polynomial guided fuzzy C-means and dual attention mechanism for medical image segmentation
Weiwei Cai, Bo Zhai, Yun Liu, et al.
Displays (2021) Vol. 70, pp. 102106-102106
Closed Access | Times Cited: 87
Automated Parkinson’s disease recognition based on statistical pooling method using acoustic features
Orhan Yaman, Fatih Ertam, Türker Tuncer
Medical Hypotheses (2019) Vol. 135, pp. 109483-109483
Closed Access | Times Cited: 83
Meta-Heuristic Optimization of LSTM-Based Deep Network for Boosting the Prediction of Monkeypox Cases
Marwa M. Eid, El-Sayed M. El-kenawy, Nima Khodadadi, et al.
Mathematics (2022) Vol. 10, Iss. 20, pp. 3845-3845
Open Access | Times Cited: 69
Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma
Wojciech Książek, Michał Gandor, Paweł Pławiak
Computers in Biology and Medicine (2021) Vol. 134, pp. 104431-104431
Open Access | Times Cited: 63
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