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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 Methodology Based on EMD and Nonlinear Measurements for Sudden Cardiac Death Detection
Olivia Vargas-Lopez, Juan P. Amézquita-Sánchez, J. Jesus De-Santiago-Perez, et al.
Sensors (2019) Vol. 20, Iss. 1, pp. 9-9
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features
Sumair Aziz, Muhammad Umar Khan, Majed Alhaisoni, et al.
Sensors (2020) Vol. 20, Iss. 13, pp. 3790-3790
Open Access | Times Cited: 98
Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studies
Maarten Z H Kolk, Brototo Deb, Samuel Ruipérez-Campillo, et al.
EBioMedicine (2023) Vol. 89, pp. 104462-104462
Open Access | Times Cited: 32
A new epileptic seizure prediction model based on maximal overlap discrete wavelet packet transform, homogeneity index, and machine learning using ECG signals
Andrea V. Perez-Sanchez, Juan P. Amézquita-Sánchez, Martin Valtierra‐Rodriguez, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105659-105659
Closed Access | Times Cited: 21
Sudden cardiac death prediction based on the complete ensemble empirical mode decomposition method and a machine learning strategy by using ECG signals
Manuel A. Centeno-Bautista, Andrea V. Perez-Sanchez, Juan P. Amézquita-Sánchez, et al.
Measurement (2024) Vol. 236, pp. 115052-115052
Closed Access | Times Cited: 7
An Explainable Machine Learning Approach Based on Statistical Indexes and SVM for Stress Detection in Automobile Drivers Using Electromyographic Signals
Olivia Vargas-Lopez, Carlos A. Perez-Ramirez, Martin Valtierra‐Rodriguez, et al.
Sensors (2021) Vol. 21, Iss. 9, pp. 3155-3155
Open Access | Times Cited: 28
Electrocardiogram Analysis by Means of Empirical Mode Decomposition-Based Methods and Convolutional Neural Networks for Sudden Cardiac Death Detection
Manuel A. Centeno-Bautista, Angel H. Rangel-Rodriguez, Andrea V. Perez-Sanchez, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3569-3569
Open Access | Times Cited: 11
Recent Advances in PCG Signal Analysis using AI: A Review
Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal, et al.
International Journal on Smart Sensing and Intelligent Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
A brain-inspired model for multi-step forecasting of malignant arrhythmias
Yun Kwan Kim, Insung Choi, Sun Jung Lee, et al.
Expert Systems with Applications (2025), pp. 126373-126373
Closed Access
A novel method for early prediction of sudden cardiac death through nonlinear feature extraction from ECG signals
Fatemeh Danesh Jablo, Hamed Danandeh Hesar
Physical and Engineering Sciences in Medicine (2025)
Closed Access
Machine learning‐based classification of multiple heart disorders from PCG signals
Muhammad Talal, Sumair Aziz, Muhammad Umar Khan, et al.
Expert Systems (2023) Vol. 40, Iss. 10
Closed Access | Times Cited: 7
Intelligent prediction of sudden cardiac death based on multi-domain feature fusion of heart rate variability signals
Jianli Yang, Zhiqiang Sun, Weiwei Zhu, et al.
EURASIP Journal on Advances in Signal Processing (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 6
Wavelet Transform-Statistical Time Features-Based Methodology for Epileptic Seizure Prediction Using Electrocardiogram Signals
Andrea V. Perez-Sanchez, Carlos A. Perez-Ramirez, Martin Valtierra‐Rodriguez, et al.
Mathematics (2020) Vol. 8, Iss. 12, pp. 2125-2125
Open Access | Times Cited: 15
A hybrid model for forecasting of particulate matter concentrations based on multiscale characterization and machine learning techniques
Syed Ahsin Ali Shah, Wajid Aziz, Majid Almaraashi, et al.
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 3, pp. 1992-2009
Open Access | Times Cited: 14
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
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
Early prediction of sudden cardiac death using multimodal fusion of ECG Features extracted from Hilbert-Huang and wavelet transforms with explainable vision transformer and CNN models
Hardik Telangore, Victor Azad, Manish Sharma, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108455-108455
Closed Access | Times Cited: 1
A complete consumer behaviour learning model for real-time demand response implementation in smart grid
Swati Sharda, Mukhtiar Singh, Kapil Sharma
Applied Intelligence (2021) Vol. 52, Iss. 1, pp. 835-845
Closed Access | Times Cited: 10
Natural freshwater microalgae biofilm as a tool for the clean-up of water resulting from mining activities
Adamu Yunusa Ugya, Diya’uddeen Basheer Hasan, Hadiza Abdullahi Ari, et al.
All Life (2020) Vol. 13, Iss. 1, pp. 644-657
Open Access | Times Cited: 9
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
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 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
Feature Parameters Extraction Based on Local Mean Decomposition for Leakage Current of Underwater Equipment
Shisheng Liu, Junda Li, Weijian Lin, et al.
(2024) Vol. 45, pp. 1114-1118
Closed Access
Clinical sudden cardiac death risk prediction: A grid search support vector machine multimodel base on ventricular fibrillation visualization features
Chao-Xin Xie, Liang-Hung Wang, Yanting Yu, et al.
Computers & Electrical Engineering (2024) Vol. 123, pp. 110022-110022
Closed Access
Design and Data Processing of Galloping Online Monitoring System for Positive Feeder of High‐Speed Railway Catenary in Gale Area
Shanpeng Zhao, Shaoxiang Zhao, Youpeng Zhang, et al.
IEEJ Transactions on Electrical and Electronic Engineering (2021) Vol. 16, Iss. 9, pp. 1248-1259
Closed Access | Times Cited: 3
Electronics and Its Worldwide Research
Rosa M. García, Nuria Novas, Alfredo Alcayde, et al.
Electronics (2020) Vol. 9, Iss. 6, pp. 977-977
Open Access | Times Cited: 2
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