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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 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: 135

Showing 1-25 of 135 citing articles:

A review of deep learning with special emphasis on architectures, applications and recent trends
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, et al.
Knowledge-Based Systems (2020) Vol. 194, pp. 105596-105596
Open Access | Times Cited: 343
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review
Fatma Murat, Özal Yıldırım, Muhammed Talo, et al.
Computers in Biology and Medicine (2020) Vol. 120, pp. 103726-103726
Open Access | Times Cited: 270
Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals
Türker Tuncer, Şengül Doğan, Paweł Pławiak, et al.
Knowledge-Based Systems (2019) Vol. 186, pp. 104923-104923
Closed Access | Times Cited: 196
Generalization of Dempster–Shafer theory: A complex mass function
Fuyuan Xiao
Applied Intelligence (2020) Vol. 50, Iss. 10, pp. 3266-3275
Closed Access | Times Cited: 186
Improving the Reliability of Deep Neural Networks in NLP: A Review
Basemah Alshemali, Jugal Kalita
Knowledge-Based Systems (2019) Vol. 191, pp. 105210-105210
Closed Access | Times Cited: 160
Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: An overview
Jun Gao, Qian Jiang, Bo Zhou, et al.
Mathematical Biosciences & Engineering (2019) Vol. 16, Iss. 6, pp. 6536-6561
Open Access | Times Cited: 152
Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data
Hari Mohan, Kalyan Chatterjee
Applied Intelligence (2021) Vol. 52, Iss. 5, pp. 5366-5384
Closed Access | Times Cited: 122
The Fusion of Deep Learning and Fuzzy Systems: A State-of-the-Art Survey
Yuanhang Zheng, Zeshui Xu, Xinxin Wang
IEEE Transactions on Fuzzy Systems (2021) Vol. 30, Iss. 8, pp. 2783-2799
Closed Access | Times Cited: 120
Hybrid teaching–learning-based optimization and neural network algorithm for engineering design optimization problems
Yiying Zhang, Zhigang Jin, Ye Chen
Knowledge-Based Systems (2019) Vol. 187, pp. 104836-104836
Closed Access | Times Cited: 112
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: 108
HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks
Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya
Computers in Biology and Medicine (2020) Vol. 127, pp. 104057-104057
Open Access | Times Cited: 108
Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach
Elham Nasarian, Moloud Abdar, Mohammad Amin Fahami, et al.
Pattern Recognition Letters (2020) Vol. 133, pp. 33-40
Closed Access | Times Cited: 105
Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks
Yanrui Jin, Chengjin Qin, Yixiang Huang, et al.
Knowledge-Based Systems (2020) Vol. 193, pp. 105460-105460
Closed Access | Times Cited: 104
A prospect theory-based three-way decision model
Tianxing Wang, Huaxiong Li, Xianzhong Zhou, et al.
Knowledge-Based Systems (2020) Vol. 203, pp. 106129-106129
Closed Access | Times Cited: 96
Automated heartbeat classification based on deep neural network with multiple input layers
Haotian Shi, Chengjin Qin, Dengyu Xiao, et al.
Knowledge-Based Systems (2019) Vol. 188, pp. 105036-105036
Closed Access | Times Cited: 87
Vital spreaders identification in complex networks with multi-local dimension
Tao Wen, Danilo Pelusi, Yong Deng
Knowledge-Based Systems (2020) Vol. 195, pp. 105717-105717
Open Access | Times Cited: 80
Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network
Rohan Panda, Sahil Jain, RK Tripathy, et al.
Computers in Biology and Medicine (2020) Vol. 124, pp. 103939-103939
Open Access | Times Cited: 75
Convolutional neural network based automatic screening tool for cardiovascular diseases using different intervals of ECG signals
Hao Dai, Hsin-Ginn Hwang, Vincent S. Tseng
Computer Methods and Programs in Biomedicine (2021) Vol. 203, pp. 106035-106035
Closed Access | Times Cited: 59
Review of Deep Learning-Based Atrial Fibrillation Detection Studies
Fatma Murat, Ferhat Sadak, Özal Yıldırım, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 21, pp. 11302-11302
Open Access | Times Cited: 59
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
A complex Jensen–Shannon divergence in complex evidence theory with its application in multi-source information fusion
Wentao Fan, Fuyuan Xiao
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105362-105362
Closed Access | Times Cited: 43
A novel time representation input based on deep learning for ECG classification
Youhe Huang, Hongru Li, Xia Yu
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104628-104628
Closed Access | Times Cited: 33
A novel approach to create synthetic biomedical signals using BiRNN
Andres Hernandez-Matamoros, Hamido Fujita, Héctor Pérez-Meana
Information Sciences (2020) Vol. 541, pp. 218-241
Closed Access | Times Cited: 61
A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection
Yanrui Jin, Chengjin Qin, Jinlei Liu, et al.
Knowledge-Based Systems (2020) Vol. 203, pp. 106122-106122
Closed Access | Times Cited: 59
An intelligent computer-aided approach for atrial fibrillation and atrial flutter signals classification using modified bidirectional LSTM network
Jibin Wang
Information Sciences (2021) Vol. 574, pp. 320-332
Closed Access | Times Cited: 54
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