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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:

Computer-aided diagnosis of congestive heart failure using ECG signals – A review
Jahmunah Vicnesh, Shu Lih Oh, Joel Koh En Wei, et al.
Physica Medica (2019) Vol. 62, pp. 95-104
Closed Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

Mapping the Evidence on the Effectiveness of Telemedicine Interventions in Diabetes, Dyslipidemia, and Hypertension: An Umbrella Review of Systematic Reviews and Meta-Analyses
Patrick Timpel, Sarah Oswald, Peter E. H. Schwarz, et al.
Journal of Medical Internet Research (2019) Vol. 22, Iss. 3, pp. e16791-e16791
Open Access | Times Cited: 200
Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals
V. Jahmunah, E. Y. K. Ng, Ru San Tan, et al.
Computers in Biology and Medicine (2021) Vol. 134, pp. 104457-104457
Closed Access | Times Cited: 106
1D-CADCapsNet: One dimensional deep capsule networks for coronary artery disease detection using ECG signals
Ertan Bütün, Özal Yıldırım, Muhammed Talo, et al.
Physica Medica (2020) Vol. 70, pp. 39-48
Closed Access | Times Cited: 77
Automated prediction of sepsis using temporal convolutional network
Christopher Kok, Jahmunah Vicnesh, Shu Lih Oh, et al.
Computers in Biology and Medicine (2020) Vol. 127, pp. 103957-103957
Closed Access | Times Cited: 71
Combined deep CNN–LSTM network-based multitasking learning architecture for noninvasive continuous blood pressure estimation using difference in ECG-PPG features
Da Un Jeong, Ki Moo Lim
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 65
Electrocardiogram-Based Heart Age Estimation by a Deep Learning Model Provides More Information on the Incidence of Cardiovascular Disorders
Chiao-Hsiang Chang, Chin‐Sheng Lin, Yusheng Luo, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 52
Review of ECG detection and classification based on deep learning: Coherent taxonomy, motivation, open challenges and recommendations
Shan Wei Chen, Shir Li Wang, Xiu Zhi Qi, et al.
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103493-103493
Closed Access | Times Cited: 43
Estimating age and gender from electrocardiogram signals: A comprehensive review of the past decade
Mohammed Yusuf Ansari, Marwa Qaraqe, Fatmeh Charafeddine, et al.
Artificial Intelligence in Medicine (2023) Vol. 146, pp. 102690-102690
Open Access | Times Cited: 31
Fragment-level classification of ECG arrhythmia using wavelet scattering transform
Sudestna Nahak, Akanksha Pathak, Goutam Saha
Expert Systems with Applications (2023) Vol. 224, pp. 120019-120019
Closed Access | Times Cited: 26
Chaos Theory: An Emerging Tool for Arrhythmia Detection
Varun Gupta, Monika Mittal, Vikas Mittal
Sensing and Imaging (2020) Vol. 21, Iss. 1
Closed Access | Times Cited: 67
Accurate detection of myocardial infarction using non linear features with ECG signals
Chaitra Sridhar, Oh Shu Lih, Jahmunah Vicnesh, et al.
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 3, pp. 3227-3244
Closed Access | Times Cited: 54
ECGdeli - An open source ECG delineation toolbox for MATLAB
Nicolas Pilia, Claudia Nagel, Gustavo Lenis, et al.
SoftwareX (2020) Vol. 13, pp. 100639-100639
Open Access | Times Cited: 53
A novel automated autism spectrum disorder detection system
Shu Lih Oh, Jahmunah Vicnesh, N. Arunkumar, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 5, pp. 2399-2413
Open Access | Times Cited: 51
Time adaptive ECG driven cardiovascular disease detector
Muhammad Salman Haleem, Rossana Castaldo, Silvio Marcello Pagliara, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102968-102968
Open Access | Times Cited: 48
ECG signals-based automated diagnosis of congestive heart failure using Deep CNN and LSTM architecture
S. Kusuma, K. Jothi
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 1, pp. 247-257
Closed Access | Times Cited: 35
HybDeepNet: A Hybrid Deep Learning Model for Detecting Cardiac Arrhythmia from ECG Signals
R. Saravana Ram, J. Akilandeswari, M. Vinoth Kumar
Information Technology And Control (2023) Vol. 52, Iss. 2, pp. 433-444
Open Access | Times Cited: 16
Hearables: feasibility of recording cardiac rhythms from single in-ear locations
Metin Yarici, Wilhelm von Rosenberg, Ghena Hammour, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 7
Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks
Wei Zeng, Jian Yuan, Chengzhi Yuan, et al.
Artificial Intelligence in Medicine (2020) Vol. 106, pp. 101848-101848
Closed Access | Times Cited: 40
DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time
Girmaw Abebe Tadesse, Hamza Javed, Komminist Weldemariam, et al.
Artificial Intelligence in Medicine (2021) Vol. 121, pp. 102192-102192
Open Access | Times Cited: 40
Automated diagnostic tool for hypertension using convolutional neural network
Desmond Chuang Kiat Soh, E. Y. K. Ng, Jahmunah Vicnesh, et al.
Computers in Biology and Medicine (2020) Vol. 126, pp. 103999-103999
Closed Access | Times Cited: 39
Systematic Review on Machine-Learning Algorithms Used in Wearable-Based eHealth Data Analysis
Aditi Site, Jari Nurmi, Elena Simona Lohan
IEEE Access (2021) Vol. 9, pp. 112221-112235
Open Access | Times Cited: 36
A Multidimensional Approach to Understanding Genetic Diversity, Risk Stratification, and Personalized Interventions in Pediatric Hypertrophic Cardiomyopathy
Mona Alromaihi, Faris Alrumaihi, Wanian M. Alwanian, et al.
Current Problems in Cardiology (2025), pp. 103040-103040
Closed Access
Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis
Dimitri Grün, Felix Rudolph, Nils Gumpfer, et al.
Frontiers in Digital Health (2021) Vol. 2
Open Access | Times Cited: 28
Automatic Detection of Congestive Heart Failure Based on Multiscale Residual UNet++: From Centralized Learning to Federated Learning
Liang Zou, Zexin Huang, Xinhui Yu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-13
Closed Access | Times Cited: 22
Inter-Patient Congestive Heart Failure Detection Using ECG-Convolution-Vision Transformer Network
Taotao Liu, Yujuan Si, Weiyi Yang, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3283-3283
Open Access | Times Cited: 20
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