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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.

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Showing 1-25 of 37 citing articles:

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: 30
Heart Rate Variability Measurement through a Smart Wearable Device: Another Breakthrough for Personal Health Monitoring?
Ke Li, Cristiano de Oliveira Cardoso, Angel Moctezuma-Ramirez, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 24, pp. 7146-7146
Open Access | Times Cited: 26
Artificial Intelligence and Machine Learning in Emergency Medicine
Kenneth Jian Wei Tang, Candice Ke En Ang, Theodoros Constantinides, et al.
Journal of Applied Biomedicine (2020) Vol. 41, Iss. 1, pp. 156-172
Closed Access | Times Cited: 63
Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies
Faijan Akhtar, Md Belal Bin Heyat, Arshiya Sultana, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 6
Closed Access | Times Cited: 7
Online Algorithm for Deriving Heart Rate Variability Components and Their Time–Frequency Analysis
Krzysztof Adamczyk, Adam G. Polak
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1210-1210
Open 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
Heart Rate Variability Measurement through a Wearable Device: Another Breakthrough for Personal Health Monitoring?
Ke Li, Cristiano de Oliveira Cardoso, Angel Moctezuma-Ramirez, et al.
(2023)
Open Access | Times Cited: 12
HFBD: a biomarker knowledge database for heart failure heterogeneity and personalized applications
Hongxin He, Manhong Shi, Yuxin Lin, et al.
Bioinformatics (2021) Vol. 37, Iss. 23, pp. 4534-4539
Open Access | Times Cited: 18
Optimal Classification of Atrial Fibrillation and Congestive Heart Failure Using Machine Learning
Yunendah Nur Fuadah, Ki Moo Lim
Frontiers in Physiology (2022) Vol. 12
Open Access | Times Cited: 11
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
The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals
Zheng Chen, Naoaki Ono, Wei Chen, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 205, pp. 106102-106102
Closed Access | Times Cited: 15
Automated Detection of Sudden Cardiac Death by Discrete Wavelet Transform of Electrocardiogram Signal
Manhong Shi, Hongjie Yu, Hongjie Wang
Symmetry (2022) Vol. 14, Iss. 3, pp. 571-571
Open Access | Times Cited: 10
Performance of heart rate adjusted heart rate variability for risk stratification of sudden cardiac death
Su-Peng Yan, Xin Song, Liang Wei, et al.
BMC Cardiovascular Disorders (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 5
The Use of Empirical Mode Decomposition on Heart Rate Variability Signals to Assess Autonomic Neuropathy Progression in Type 2 Diabetes
Sandra Cossul, Felipe Rettore Andreis, M. A. Favretto, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7824-7824
Open Access | Times Cited: 5
Detection of congestive heart failure based on Gramian angular field and two-dimensional symbolic phase permutation entropy
Juanjuan Yang, Caiping Xi
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 674-688
Closed 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
Analysis of heart rate dynamics based on nonlinear lagged returned map for sudden cardiac death prediction in cardiovascular patients
Farangis Sajadi Moghadam, Mohammad Karimi Moridani, Yasaman Jalilehvand
Multidimensional Systems and Signal Processing (2021) Vol. 32, Iss. 2, pp. 693-714
Closed Access | Times Cited: 9
Measures of repolarization variability predict ventricular arrhythmogenesis in heptanol-treated Langendorff-perfused mouse hearts
Gary Tse, Guoliang Hao, Sharen Lee, et al.
Current Research in Physiology (2021) Vol. 4, pp. 125-134
Open Access | Times Cited: 6
CRPMKB: a knowledge base of cancer risk prediction models for systematic comparison and personalized applications
Shumin Ren, Yanwen Jin, Yalan Chen, et al.
Bioinformatics (2021) Vol. 38, Iss. 6, pp. 1669-1676
Closed Access | Times Cited: 6
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
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
ECG-based risk stratification of sudden cardiac death and life-threatening ventricular arrhythmias
Danila A. Stepanov, А. А. Татаринова
Journal of Arrhythmology (2024) Vol. 31, Iss. 1, pp. 77-91
Open Access
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
An Efficient Approach for Early Prediction of Sudden Cardiac Death Using Two-Stage Feature Selection and Gradient Boosting Classification
Shaik Karimulla, Dipti Patra
Communications in computer and information science (2024), pp. 83-97
Closed Access
Validity and Reliability of the Ultra-Short-Term Heart Rate Variability Feature in Predicting Ventricular Tachyarrhythmia
Thion Ming Chieng, Yuan Wen Hau, Zaid Omar, et al.
(2024)
Closed Access
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