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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 Wavelet Transform-Homogeneity Model for Sudden Cardiac Death Prediction Using ECG Signals
Juan P. Amézquita-Sánchez, Martin Valtierra‐Rodriguez, Hojjat Adeli, et al.
Journal of Medical Systems (2018) Vol. 42, Iss. 10
Closed Access | Times Cited: 58

Showing 26-50 of 58 citing articles:

A 1.2nW Analog Electrocardiogram Processor Achieving a 99.63% QRS Complex Detection Sensitivity
Cihan Berk Güngör, Patrick P. Mercier, Hakan Töreyin
IEEE Transactions on Biomedical Circuits and Systems (2021) Vol. 15, Iss. 3, pp. 617-628
Open Access | Times Cited: 14
Signal Analysis of Electrocardiogram and Statistical Evaluation of Myocardial Enzyme in the Diagnosis and Treatment of Patients With Pneumonia
Li Zhou, Xiaolei Li, Zhi‐Jun Zhu, et al.
IEEE Access (2019) Vol. 7, pp. 113751-113759
Open Access | Times Cited: 13
ECG-Based Identification of Sudden Cardiac Death through Sparse Representations
J. Renán Velázquez-González, Hayde Peregrina‐Barreto, Jose Rangel‐Magdaleno, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7666-7666
Open Access | Times Cited: 11
Automated prediction of sudden cardiac death using statistically extracted features from electrocardiogram signals
K. Viswavardhan Reddy, Navin Kumar
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 12, Iss. 5, pp. 4960-4960
Open Access | Times Cited: 8
Sudden Cardiac Death detection by using an hybrid method based on TWA and dictionary learning: A data experimentation
Nancy C. Betancourt M., Marco Flores-Calero, Carlos Almeida
IEEE Access (2023), pp. 1-1
Open Access | Times Cited: 4
Deep Learning-Based Classification of Epileptic Electroencephalography Signals Using a Concentrated Time-Frequency Approach
Mosab A. A. Yousif, Mahmut Öztürk
International Journal of Neural Systems (2023) Vol. 33, Iss. 12
Closed Access | Times Cited: 4
A spatio-temporal fusion deep learning network with application to lightning nowcasting
Changhai Zhou, Ling Fan, Ferrante Neri
Integrated Computer-Aided Engineering (2024) Vol. 31, Iss. 3, pp. 233-247
Open Access | Times Cited: 1
A pioneering approach for early prediction of sudden cardiac death via morphological ECG features measurement and ensemble growing techniques
Shaik Karimulla, Dipti Patra
Computers & Electrical Engineering (2024) Vol. 120, pp. 109740-109740
Closed Access | Times Cited: 1
Identification of Classification Method for Sudden Cardiac Death: A Review
Febriyanti Panjaitan, Siti Nurmaini, Muhammad Akbar, et al.
(2019), pp. 93-97
Closed Access | Times Cited: 7
Prediction of Ventricular Fibrillation Using Support Vector Machine
Wei Wei Heng, Eileen Lee Ming Su, Ahmad Nizar Jamaluddin, et al.
IOP Conference Series Materials Science and Engineering (2020) Vol. 884, Iss. 1, pp. 012008-012008
Open Access | Times Cited: 7
EARLY PREDICTION OF SUDDEN CARDIAC DEATH USING FRACTAL DIMENSION AND ECG SIGNALS
ROGELIO PIÑA-VEGA, Martin Valtierra‐Rodriguez, Carlos A. Perez-Ramirez, et al.
Fractals (2020) Vol. 29, Iss. 03, pp. 2150077-2150077
Closed Access | Times Cited: 7
An automatic risk assessment system for sudden cardiac death using look ahead pattern
Amit Singhal, Megha Agarwal
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27243-27258
Closed Access | Times Cited: 2
An Optimal Methodology for Early Prediction of Sudden Cardiac Death Using Advanced Heart Rate Variability Features of ECG Signal
Shaik Karimulla, Dipti Patra
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 5, pp. 6725-6741
Closed Access | Times Cited: 2
Combining mathematical model for HRV mapping and machine learning to predict sudden cardiac death
Shahrzad Marjani, Mohammad Karimi Moridani
Computer Methods and Programs in Biomedicine Update (2023) Vol. 4, pp. 100112-100112
Open Access | Times Cited: 2
A TrAdaBoost Method for Detecting Multiple Subjects’ N200 and P300 Potentials Based on Cross-Validation and an Adaptive Threshold
Mengfan Li, Fang Lin, Guizhi Xu
International Journal of Neural Systems (2019) Vol. 30, Iss. 03, pp. 2050009-2050009
Closed Access | Times Cited: 4
Automated characterization of sudden cardiac death by using empirical mode decomposition and fuzzy entropy of ECG signals
Manhong Shi, Yinuo Shi, Wenkang Wenkang Zhou, et al.
Research Square (Research Square) (2024)
Open Access
Iot-Based Emergency Cardiac Death Risk Rescue Alert System
Shafiq Ul Rehman, Binhua Huang, Selvakumar Manickam, et al.
(2024)
Closed Access
Prediction of Cardiac Arrest by the Hybrid Approach of Soft Computing and Machine Learning
Subrata Kumar Nayak, Sateesh Kumar Pradhan, Sujogya Mishra, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 7
Open Access | Times Cited: 1
1-dimensional convolutional neural networks for predicting sudden cardiac
K. Viswavardhan Reddy, Karna Vishnu Vardhana Reddy
IAES International Journal of Artificial Intelligence (2023) Vol. 13, Iss. 1, pp. 984-984
Open Access | Times Cited: 1
Sudden Cardiac Death Risk Prediction Based on Noise Interfered Single-Lead ECG Signals
Weidong Gao, Jie Liao
Electronics (2024) Vol. 13, Iss. 21, pp. 4274-4274
Open Access
Prediction of Cardiac Arrest using Artificial Intelligence - A Systematic Review
Suman Raj, Shahzad Alam, Tanvir Ahmad
(2022), pp. 583-588
Closed Access | Times Cited: 2
Prediction Algorithm of Malignant Ventricular Arrhythmia Validated across Multiple Online Public Databases
Wei Wei Heng, Eileen Lee Ming Su, Ahmad Nizar Jamaluddin, et al.
Computing in cardiology (2019)
Open Access | Times Cited: 2
Single Lead ECG-based Ventricular Repolarization Classification for Early Identification of Unexpected Ventricular Fibrillation
Dakun Lai, Yifei Zhang, Xinshu Zhang
(2020), pp. 5567-5570
Closed Access | Times Cited: 2
Investigating Phase Space Reconstruction of ECG for Prediction of Malignant Ventricular Arrhythmia
Wei Wei Heng, Eileen Lee Ming Su, Ahmad Nizar Jamaluddin, et al.
International Journal of Integrated Engineering (2020) Vol. 12, Iss. 2
Open Access | Times Cited: 1
Ventricular Fibrillation Characterization for Sudden Cardiac Death Risk Prediction based on Wavelet Analysis
Miguel Loria-Romero, Hayde Peregrina‐Barreto, Jose Rangel‐Magdaleno, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2022), pp. 1-6
Closed Access | Times Cited: 1

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