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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:

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review
Shenda Hong, Yuxi Zhou, Junyuan Shang, et al.
Computers in Biology and Medicine (2020) Vol. 122, pp. 103801-103801
Open Access | Times Cited: 353

Showing 1-25 of 353 citing articles:

Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 5, pp. 1519-1528
Open Access | Times Cited: 262
Deep learning in ECG diagnosis: A review
Xinwen Liu, Huan Wang, Zongjin Li, et al.
Knowledge-Based Systems (2021) Vol. 227, pp. 107187-107187
Closed Access | Times Cited: 242
Transfer learning for ECG classification
Kuba Weimann, Tim Conrad
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 155
Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram
Dongdong Zhang, Samuel Yang, Xiaohui Yuan, et al.
iScience (2021) Vol. 24, Iss. 4, pp. 102373-102373
Open Access | Times Cited: 127
Self-supervised representation learning from 12-lead ECG data
Temesgen Mehari, Nils Strodthoff
Computers in Biology and Medicine (2021) Vol. 141, pp. 105114-105114
Open Access | Times Cited: 106
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction
Salah S. Al‐Zaiti, Christian Martin‐Gill, Jessica K. Zègre‐Hemsey, et al.
Nature Medicine (2023) Vol. 29, Iss. 7, pp. 1804-1813
Open Access | Times Cited: 105
Deep Learning-Based ECG Arrhythmia Classification: A Systematic Review
Qiao Xiao, Khuan Lee, Siti Aisah Mokhtar, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4964-4964
Open Access | Times Cited: 74
SLC-GAN: An automated myocardial infarction detection model based on generative adversarial networks and convolutional neural networks with single-lead electrocardiogram synthesis
Wenqiang Li, Yuk Ming Tang, Kai Yu, et al.
Information Sciences (2022) Vol. 589, pp. 738-750
Closed Access | Times Cited: 68
Deep learning for ECG Arrhythmia detection and classification: an overview of progress for period 2017–2023
Mohammed Yaqoob Ansari, Omar Mourad, Khalid Qaraqe, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 54
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN
Md Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, et al.
Neural Networks (2023) Vol. 162, pp. 271-287
Open Access | Times Cited: 44
Practical intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset
Jiewei Lai, Huixin Tan, Jinliang Wang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 44
A foundational vision transformer improves diagnostic performance for electrocardiograms
Akhil Vaid, Joy Jiang, Ashwin Sawant, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 41
Machine learning‐assisted point‐of‐care diagnostics for cardiovascular healthcare
Kaidong Wang, Bing Tan, Xinfei Wang, et al.
Bioengineering & Translational Medicine (2025)
Open Access | Times Cited: 1
Electrocardiogram heartbeat classification based on a deep convolutional neural network and focal loss
Taissir Fekih Romdhane, Haikel Alhichri, Ridha Ouni, et al.
Computers in Biology and Medicine (2020) Vol. 123, pp. 103866-103866
Closed Access | Times Cited: 123
Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records
Özal Yıldırım, Muhammed Talo, Edward J. Ciaccio, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 197, pp. 105740-105740
Open Access | Times Cited: 103
A Wide and Deep Transformer Neural Network for 12-Lead ECG Classification
Annamalai Natarajan, Yale Chang, Sara Mariani, et al.
Computing in cardiology (2020)
Open Access | Times Cited: 96
A systematic literature review of deep learning neural network for time series air quality forecasting
Nur’atiah Zaini, Lee Woen Ean, Ali Najah Ahmed, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 4, pp. 4958-4990
Closed Access | Times Cited: 79
A Comprehensive Survey on ECG Signals as New Biometric Modality for Human Authentication: Recent Advances and Future Challenges
Anthony Ngozichukwuka Uwaechia, Dzati Athiar Ramli
IEEE Access (2021) Vol. 9, pp. 97760-97802
Open Access | Times Cited: 69
BeatClass: A Sustainable ECG Classification System in IoT-Based eHealth
Le Sun, Yilin Wang, Zhiguo Qu, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 10, pp. 7178-7195
Closed Access | Times Cited: 69
A Combinatorial Deep Learning Structure for Precise Depth of Anesthesia Estimation From EEG Signals
Sara Afshar, Reza Boostani, Saeid Sanei
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 9, pp. 3408-3415
Open Access | Times Cited: 63
Healthcare Techniques Through Deep Learning: Issues, Challenges and Opportunities
Dur-e-Maknoon Nisar, Rashid Amin, Noor-Ul-Huda Shah, et al.
IEEE Access (2021) Vol. 9, pp. 98523-98541
Open Access | Times Cited: 56
A novel method for reducing arrhythmia classification from 12-lead ECG signals to single-lead ECG with minimal loss of accuracy through teacher-student knowledge distillation
Majid Sepahvand, Fardin Abdali-Mohammadi
Information Sciences (2022) Vol. 593, pp. 64-77
Closed Access | Times Cited: 54
Time Series Anomaly Detection With Adversarial Reconstruction Networks
Shenghua Liu, Bin Zhou, Quan Ding, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 4, pp. 4293-4306
Closed Access | Times Cited: 53
An ECG Signal Denoising Method Using Conditional Generative Adversarial Net
Xiaoyu Wang, Bingchu Chen, Ming Zeng, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 7, pp. 2929-2940
Closed Access | Times Cited: 41
A Self-Contained STFT CNN for ECG Classification and Arrhythmia Detection at the Edge
Mohammed M. Farag
IEEE Access (2022) Vol. 10, pp. 94469-94486
Open Access | Times Cited: 40
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