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:

Generalization of Convolutional Neural Networks for ECG Classification Using Generative Adversarial Networks
Abdelrahman Shaker, Manal Tantawi, Howida A. Shedeed, et al.
IEEE Access (2020) Vol. 8, pp. 35592-35605
Open Access | Times Cited: 192

Showing 1-25 of 192 citing articles:

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: 356

Deep Learning Models for Arrhythmia Detection in IoT Healthcare Applications
Mohamed Hammad, Ahmed A. Abd El‐Latif, Amir Hussain, et al.
Computers & Electrical Engineering (2022) Vol. 100, pp. 108011-108011
Closed Access | Times Cited: 79

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: 77

Few-Shot Class-Incremental Learning for Medical Time Series Classification
Le Sun, Mingyang Zhang, Benyou Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1872-1882
Closed Access | Times Cited: 54

Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges
Showrov Islam, M Aziz, Hadiur Rahman Nabil, et al.
IEEE Access (2024) Vol. 12, pp. 35728-35753
Open Access | Times Cited: 17

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: 105

ECG Heartbeat Classification Using Multimodal Fusion
Zeeshan Ahmad, Anika Tabassum, Ling Guan, et al.
IEEE Access (2021) Vol. 9, pp. 100615-100626
Open Access | Times Cited: 91

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

Generative Adversarial Networks: A Primer for Radiologists
Jelmer M. Wolterink, Anirban Mukhopadhyay, Tim Leiner, et al.
Radiographics (2021) Vol. 41, Iss. 3, pp. 840-857
Open Access | Times Cited: 60

Automatic Cardiac Arrhythmia Classification Using Residual Network Combined With Long Short-Term Memory
Yun Kwan Kim, Minji Lee, Hee Seok Song, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-17
Open Access | Times Cited: 40

A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram
Musa Nehemiah, Abdulsalam Ya’u Gital, Nahla Aljojo, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 9677-9750
Open Access | Times Cited: 38

Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning
Chuan Ma, Jun Li, Kang Wei, et al.
Proceedings of the IEEE (2023) Vol. 111, Iss. 9, pp. 1097-1132
Open Access | Times Cited: 31

Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review
Zofia Rudnicka, Klaudia Proniewska, Mark D. Perkins, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 866-866
Open Access | Times Cited: 15

Approach Based Lightweight Custom Convolutional Neural Network and Fine-Tuned MobileNet-V2 for ECG Arrhythmia Signals Classification
Hadjer Bechinia, Djamel Benmerzoug, Nawrès Khlifa
IEEE Access (2024) Vol. 12, pp. 40827-40841
Open Access | Times Cited: 12

ECG based one-dimensional residual deep convolutional auto-encoder model for heart disease classification
Nikhat Parveen, Manisha Gupta, Shirisha Kasireddy, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 66107-66133
Closed Access | Times Cited: 8

Generative adversarial networks: a survey on applications and challenges
M. R. Pavan Kumar, Prabhu Jayagopal
International Journal of Multimedia Information Retrieval (2020) Vol. 10, Iss. 1, pp. 1-24
Closed Access | Times Cited: 65

Arrhythmic Heartbeat Classification Using 2D Convolutional Neural Networks
Mürşide Değirmenci, Mehmet Akif Özdemir, Elif İzci, et al.
IRBM (2021) Vol. 43, Iss. 5, pp. 422-433
Open Access | Times Cited: 51

Chaotic-based divide-and-conquer feature selection method and its application in cardiac arrhythmia classification
Mehdi Ayar, Ayaz Isazadeh, Farhad Soleimanian Gharehchopogh, et al.
The Journal of Supercomputing (2021) Vol. 78, Iss. 4, pp. 5856-5882
Closed Access | Times Cited: 51

AFibNet: an implementation of atrial fibrillation detection with convolutional neural network
Bambang Tutuko, Siti Nurmaini, Alexander Edo Tondas, et al.
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 48

Classification of Arrhythmia in Heartbeat Detection Using Deep Learning
Wusat Ullah, Imran Siddique, Rana Muhammad Zulqarnain, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 48

Automated arrhythmia classification using depthwise separable convolutional neural network with focal loss
Yi Lu, Mingfeng Jiang, Liying Wei, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102843-102843
Closed Access | Times Cited: 44

Multi-classification of arrhythmias using ResNet with CBAM on CWGAN-GP augmented ECG Gramian Angular Summation Field
Ke Ma, Chang’an A. Zhan, Feng Yang
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103684-103684
Closed Access | Times Cited: 35

Homecare-Oriented ECG Diagnosis With Large-Scale Deep Neural Network for Continuous Monitoring on Embedded Devices
Shaolin Ran, Xiaoyun Yang, Ming Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Closed Access | Times Cited: 34

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