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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 novel technique for cardiac arrhythmia classification using spectral correlation and support vector machines
Aya Khalaf, Mohamed I. Owis, Inas A. Yassine
Expert Systems with Applications (2015) Vol. 42, Iss. 21, pp. 8361-8368
Closed Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification
Özal Yıldırım
Computers in Biology and Medicine (2018) Vol. 96, pp. 189-202
Closed Access | Times Cited: 687
A survey on ECG analysis
Selcan Kaplan Berkaya, Alper Kürşat Uysal, Efnan Şora Günal, et al.
Biomedical Signal Processing and Control (2018) Vol. 43, pp. 216-235
Closed Access | Times Cited: 445
Classification models for heart disease prediction using feature selection and PCA
Anna Karen Gárate-Escamilla, Amir Hajjam El Hassani, Emmanuel Andrès
Informatics in Medicine Unlocked (2020) Vol. 19, pp. 100330-100330
Open Access | Times Cited: 356
A deep learning approach for real-time detection of atrial fibrillation
Rasmus S. Andersen, Abdolrahman Peimankar, Sadasivan Puthusserypady
Expert Systems with Applications (2018) Vol. 115, pp. 465-473
Open Access | Times Cited: 352
LSTM-Based Auto-Encoder Model for ECG Arrhythmias Classification
Borui Hou, Jianyong Yang, Pu Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 4, pp. 1232-1240
Closed Access | Times Cited: 247
Machine Learning Approach to Detect Cardiac Arrhythmias in ECG Signals: A Survey
Santanu Sahoo, Manasa Dash, Santosh Kumar Behera, et al.
IRBM (2020) Vol. 41, Iss. 4, pp. 185-194
Closed Access | Times Cited: 140
A Hybrid Deep Learning Approach for ECG-Based Arrhythmia Classification
Parul Madan, Vijay Singh, Devesh Pratap Singh, et al.
Bioengineering (2022) Vol. 9, Iss. 4, pp. 152-152
Open Access | Times Cited: 89
CAT-Net: Convolution, attention, and transformer based network for single-lead ECG arrhythmia classification
Md. Rabiul Islam, Marwa Qaraqe, Khalid Qaraqe, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106211-106211
Open Access | Times Cited: 16
DENS-ECG: A deep learning approach for ECG signal delineation
Abdolrahman Peimankar, Sadasivan Puthusserypady
Expert Systems with Applications (2020) Vol. 165, pp. 113911-113911
Open Access | Times Cited: 125
Classification of ECG heartbeats using nonlinear decomposition methods and support vector machine
Kandala N. V. P. S. Rajesh, Ravindra Dhuli
Computers in Biology and Medicine (2017) Vol. 87, pp. 271-284
Closed Access | Times Cited: 96
Machine Learning Strategy for Gut Microbiome-Based Diagnostic Screening of Cardiovascular Disease
Sachin Aryal, Ahmad Alimadadi, Ishan Manandhar, et al.
Hypertension (2020) Vol. 76, Iss. 5, pp. 1555-1562
Open Access | Times Cited: 96
Combining Low-dimensional Wavelet Features and Support Vector Machine for Arrhythmia Beat Classification
Qin Qin, Jianqing Li, Zhang Li, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 90
Computational Diagnostic Techniques for Electrocardiogram Signal Analysis
Liping Xie, Zilong Li, Yihan Zhou, et al.
Sensors (2020) Vol. 20, Iss. 21, pp. 6318-6318
Open Access | Times Cited: 88
Cardiac arrhythmia classification using tunable Q-wavelet transform based features and support vector machine classifier
Chandan Kumar Jha, Maheshkumar H. Kolekar
Biomedical Signal Processing and Control (2020) Vol. 59, pp. 101875-101875
Closed Access | Times Cited: 84
Automatic detection of arrhythmia from imbalanced ECG database using CNN model with SMOTE
Saroj Kumar Pandey, Rekh Ram Janghel
Australasian Physical & Engineering Sciences in Medicine (2019) Vol. 42, Iss. 4, pp. 1129-1139
Closed Access | Times Cited: 80
Arrhythmia Recognition and Classification Using Combined Parametric and Visual Pattern Features of ECG Morphology
Hui Yang, Zhiqiang Wei
IEEE Access (2020) Vol. 8, pp. 47103-47117
Open Access | Times Cited: 76
Chaos Theory and ARTFA: Emerging Tools for Interpreting ECG Signals to Diagnose Cardiac Arrhythmias
Varun Gupta, Monika Mittal, Vikas Mittal
Wireless Personal Communications (2021) Vol. 118, Iss. 4, pp. 3615-3646
Closed Access | Times Cited: 68
An improved cardiac arrhythmia classification using an RR interval-based approach
Jagdeep Rahul, Marpe Sora, Lakhan Dev Sharma, et al.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 2, pp. 656-666
Closed Access | Times Cited: 55
Hybrid model based on neural networks, type-1 and type-2 fuzzy systems for 2-lead cardiac arrhythmia classification
Eduardo Gómez Ramírez, Patricia Melín, German Prado-Arechiga
Expert Systems with Applications (2019) Vol. 126, pp. 295-307
Closed Access | Times Cited: 68
A Novel Approach for ECG-Based Human Identification Using Spectral Correlation and Deep Learning
Sara S. Abdeldayem, Thirimachos Bourlai
IEEE Transactions on Biometrics Behavior and Identity Science (2019) Vol. 2, Iss. 1, pp. 1-14
Closed Access | Times Cited: 67
Postpartum depression prediction through pregnancy data analysis for emotion-aware smart systems
Mário W. L. Moreira, Joel J. P. C. Rodrigues, Neeraj Kumar, et al.
Information Fusion (2018) Vol. 47, pp. 23-31
Closed Access | Times Cited: 59
A Novel Wearable Electrocardiogram Classification System Using Convolutional Neural Networks and Active Learning
Yufa Xia, Yaoqin Xie
IEEE Access (2019) Vol. 7, pp. 7989-8001
Open Access | Times Cited: 59
Cloud-based ECG monitoring using event-driven ECG acquisition and machine learning techniques
Saeed Mian Qaisar, Abdülhamit Subaşı
Physical and Engineering Sciences in Medicine (2020) Vol. 43, Iss. 2, pp. 623-634
Open Access | Times Cited: 53
Arrhythmic Heartbeat Classification Using 2D Convolutional Neural Networks
Mürşide Değirmenci, Mehmet Akif Özdemir, Elif İzci, et al.
IRBM (2021) Vol. 43, Iss. 5, pp. 422-433
Open Access | Times Cited: 49
Detection of cardiac arrhythmias from ECG signals using FBSE and Jaya optimized ensemble random subspace K-nearest neighbor algorithm
Karthikeyan Ramasamy, Kiruthika Balakrishnan, Durgadevi Velusamy
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103654-103654
Closed Access | Times Cited: 32
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