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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:

ECG Arrhythmia Classification Using Transfer Learning from 2- Dimensional Deep CNN Features
Milad Salem, Shayan Taheri, J.S. Yuan
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) (2018), pp. 1-4
Open Access | Times Cited: 144

Showing 1-25 of 144 citing articles:

ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network
Jingshan Huang, Binqiang Chen, Bin Yao, et al.
IEEE Access (2019) Vol. 7, pp. 92871-92880
Open Access | Times Cited: 480
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation
Amin Ullah, Syed Muhammad Anwar, Muhammad Bilal, et al.
Remote Sensing (2020) Vol. 12, Iss. 10, pp. 1685-1685
Open Access | Times Cited: 201
A Review of Deep Learning on Medical Image Analysis
Jian Wang, Hengde Zhu, Shuihua Wang‎, et al.
Mobile Networks and Applications (2020) Vol. 26, Iss. 1, pp. 351-380
Closed Access | Times Cited: 193
Transfer learning for ECG classification
Kuba Weimann, Tim Conrad
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 156
Computer Aided detection for fibrillations and flutters using deep convolutional neural network
Hamido Fujita, Dalibor Cimr
Information Sciences (2019) Vol. 486, pp. 231-239
Closed Access | Times Cited: 134
Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals
Özal Yıldırım, Muhammed Talo, Betül Ay, et al.
Computers in Biology and Medicine (2019) Vol. 113, pp. 103387-103387
Open Access | Times Cited: 132
Stages-Based ECG Signal Analysis From Traditional Signal Processing to Machine Learning Approaches: A Survey
Muhammad Wasimuddin, Khaled Elleithy, Abdelshakour Abuzneid, et al.
IEEE Access (2020) Vol. 8, pp. 177782-177803
Open Access | Times Cited: 124
Cardiac Arrhythmia Detection from 2D ECG Images by Using Deep Learning Technique
Elif İzci, Mehmet Akif Özdemir, Mürşide Değirmenci, et al.
2020 Medical Technologies Congress (TIPTEKNO) (2019), pp. 1-4
Closed Access | Times Cited: 109
Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks
Ahmet Çınar, Seda Arslan Tuncer
Computer Methods in Biomechanics & Biomedical Engineering (2020) Vol. 24, Iss. 2, pp. 203-214
Closed Access | Times Cited: 98
Interpretation of Electrocardiogram (ECG) Rhythm by Combined CNN and BiLSTM
Xue Xu, Sohyun Jeong, Jianqiang Li
IEEE Access (2020) Vol. 8, pp. 125380-125388
Open Access | Times Cited: 90
Accurate classification of ECG arrhythmia using MOWPT enhanced fast compression deep learning networks
Jingshan Huang, Binqiang Chen, Nianyin Zeng, et al.
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 14, Iss. 5, pp. 5703-5720
Closed Access | Times Cited: 71
Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart
Dan M. Popescu, Julie K. Shade, Changxin Lai, et al.
Nature Cardiovascular Research (2022) Vol. 1, Iss. 4, pp. 334-343
Open Access | Times Cited: 62
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
Synthetic ECG Signal Generation Using Probabilistic Diffusion Models
Edmonmd Adib, Amanda Fernandez, Fatemeh Afghah, et al.
IEEE Access (2023) Vol. 11, pp. 75818-75828
Open Access | Times Cited: 39
Automated ECG Arrhythmia Classification Using Feature Images with Common Matrix Approach-Based Classifier
Ali Kırkbaş, Aydın Kızılkaya
Sensors (2025) Vol. 25, Iss. 4, pp. 1220-1220
Open Access | Times Cited: 1
The Use of Time-Frequency Moments as Inputs of LSTM Network for ECG Signal Classification
Grzegorz Kłosowski, Tomasz Rymarczyk, Dariusz Wójcik, et al.
Electronics (2020) Vol. 9, Iss. 9, pp. 1452-1452
Open Access | Times Cited: 67
Cross-wavelet assisted convolution neural network (AlexNet) approach for phonocardiogram signals classification
Priyadarshiny Dhar, Saibal Dutta, V. Mukherjee
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102142-102142
Closed Access | Times Cited: 64
DeepArrNet: An Efficient Deep CNN Architecture for Automatic Arrhythmia Detection and Classification From Denoised ECG Beats
Tanvir Mahmud, Shaikh Anowarul Fattah, Mohammad Saquib
IEEE Access (2020) Vol. 8, pp. 104788-104800
Open Access | Times Cited: 57
Improving electrocardiogram-based detection of rare genetic heart disease using transfer learning: An application to phospholamban p.Arg14del mutation carriers
Ricardo R. Lopes, Hidde Bleijendaal, Lucas A. Ramos, et al.
Computers in Biology and Medicine (2021) Vol. 131, pp. 104262-104262
Open Access | Times Cited: 47
RISC-V CNN Coprocessor for Real-Time Epilepsy Detection in Wearable Application
Shuenn-Yuh Lee, Yi-Wen Hung, Yao-Tse Chang, et al.
IEEE Transactions on Biomedical Circuits and Systems (2021) Vol. 15, Iss. 4, pp. 679-691
Closed Access | Times Cited: 41
Study on the use of standard 12-lead ECG data for rhythm-type ECG classification problems
Junsang Park, Junho An, Jinkook Kim, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 214, pp. 106521-106521
Open Access | Times Cited: 41
A novel proposed CNN–SVM architecture for ECG scalograms classification
Öznur Özaltın, Özgür Yeniay
Soft Computing (2022) Vol. 27, Iss. 8, pp. 4639-4658
Open Access | Times Cited: 35
Multilevel Classification and Detection of Cardiac Arrhythmias With High-Resolution Superlet Transform and Deep Convolution Neural Network
Prashant Mani Tripathi, Ashish Kumar, Manjeet Kumar, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Closed Access | Times Cited: 32
Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context
Tibor Stračina, Marina Ronzhina, Richard Redina, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 29
A new transfer learning approach to detect cardiac arrhythmia from ECG signals
Mohebbanaaz, L. V. Rajani Kumar, Y. Padma Sai
Signal Image and Video Processing (2022) Vol. 16, Iss. 7, pp. 1945-1953
Closed Access | Times Cited: 28
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