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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:

A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification
Özal Yıldırım
Computers in Biology and Medicine (2018) Vol. 96, pp. 189-202
Closed Access | Times Cited: 690

Showing 26-50 of 690 citing articles:

A deep convolutional neural network model for automated identification of abnormal EEG signals
Özal Yıldırım, Ulaş Baran Baloğlu, U. Rajendra Acharya
Neural Computing and Applications (2018) Vol. 32, Iss. 20, pp. 15857-15868
Closed Access | Times Cited: 180
Bayesian BILSTM approach for tourism demand forecasting
Anurag Kulshrestha, Venkataraghavan Krishnaswamy, Mayank Sharma
Annals of Tourism Research (2020) Vol. 83, pp. 102925-102925
Closed Access | Times Cited: 178
Deep Convolutional and LSTM Recurrent Neural Networks for Rolling Bearing Fault Diagnosis Under Strong Noises and Variable Loads
Meiying Qiao, Shuhao Yan, Xia-xia Tang, et al.
IEEE Access (2020) Vol. 8, pp. 66257-66269
Open Access | Times Cited: 157
Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study
Hongling Zhu, Cheng Cheng, Hang Yin, et al.
The Lancet Digital Health (2020) Vol. 2, Iss. 7, pp. e348-e357
Open Access | Times Cited: 150
Machine Learning Approach to Detect Cardiac Arrhythmias in ECG Signals: A Survey
Santanu Sahoo, Manasa Dash, Santosh Kumar Behera, et al.
IRBM (2020) Vol. 41, Iss. 4, pp. 185-194
Closed Access | Times Cited: 141
DepHNN: A novel hybrid neural network for electroencephalogram (EEG)-based screening of depression
Geetanjali Sharma, Abhishek Parashar, Amit M. Joshi
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102393-102393
Closed Access | Times Cited: 141
Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning
Nusrat Jahan Prottasha, Abdullah As Sami, Md. Kowsher, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4157-4157
Open Access | Times Cited: 129
Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades
Doeun Choe, Hyoungchul Kim, Moo‐Hyun Kim
Renewable Energy (2021) Vol. 174, pp. 218-235
Open Access | Times Cited: 124
An efficient ECG arrhythmia classification method based on Manta ray foraging optimization
Essam H. Houssein, Ibrahim E. Ibrahim, Nabil Neggaz, et al.
Expert Systems with Applications (2021) Vol. 181, pp. 115131-115131
Closed Access | Times Cited: 120
An Ensemble of Deep Learning-Based Multi-Model for ECG Heartbeats Arrhythmia Classification
Ehab Essa, Xianghua Xie
IEEE Access (2021) Vol. 9, pp. 103452-103464
Open Access | Times Cited: 111
Comprehensive strategies of machine-learning-based quantitative structure-activity relationship models
Jiashun Mao, Javed Akhtar, Xiao Zhang, et al.
iScience (2021) Vol. 24, Iss. 9, pp. 103052-103052
Open Access | Times Cited: 107
Arrhythmia classification algorithm based on multi-head self-attention mechanism
Yue Wang, Guanci Yang, Shaobo Li, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104206-104206
Closed Access | Times Cited: 85
Near real-time wind speed forecast model with bidirectional LSTM networks
Lionel Joseph, Ravinesh C. Deo, Ramendra Prasad, et al.
Renewable Energy (2023) Vol. 204, pp. 39-58
Closed Access | Times Cited: 81
Two-layer LSTM network-based prediction of epileptic seizures using EEG spectral features
Kuldeep Singh, Jyoteesh Malhotra
Complex & Intelligent Systems (2022) Vol. 8, Iss. 3, pp. 2405-2418
Open Access | Times Cited: 71
Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review
Rizwan Qureshi, Muhammad Irfan, Hazrat Ali, et al.
IEEE Access (2023) Vol. 11, pp. 61600-61620
Open Access | Times Cited: 67
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: 58
Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types
Shu Lih Oh, E. Y. K. Ng, Ru San Tan, et al.
Computers in Biology and Medicine (2018) Vol. 105, pp. 92-101
Open Access | Times Cited: 159
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
An Effective LSTM Recurrent Network to Detect Arrhythmia on Imbalanced ECG Dataset
Junli Gao, Hongpo Zhang, Peng Lu, et al.
Journal of Healthcare Engineering (2019) Vol. 2019, pp. 1-10
Open Access | Times Cited: 133
DENS-ECG: A deep learning approach for ECG signal delineation
Abdolrahman Peimankar, Sadasivan Puthusserypady
Expert Systems with Applications (2020) Vol. 165, pp. 113911-113911
Open Access | Times Cited: 129
Lameness detection of dairy cows based on the YOLOv3 deep learning algorithm and a relative step size characteristic vector
Dihua Wu, Qian Wu, Xuqiang Yin, et al.
Biosystems Engineering (2019) Vol. 189, pp. 150-163
Closed Access | Times Cited: 125
Arrhythmia Classification with ECG signals based on the Optimization-Enabled Deep Convolutional Neural Network
Dinesh Kumar Atal, Mukhtiar Singh
Computer Methods and Programs in Biomedicine (2020) Vol. 196, pp. 105607-105607
Closed Access | Times Cited: 121
MFB-CBRNN: A Hybrid Network for MI Detection Using 12-Lead ECGs
Wenhan Liu, Fei Wang, Qijun Huang, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 2, pp. 503-514
Closed Access | Times Cited: 116
Heartbeat classification using deep residual convolutional neural network from 2-lead electrocardiogram
Zhi Li, Dengshi Zhou, Li Wan, et al.
Journal of Electrocardiology (2019) Vol. 58, pp. 105-112
Closed Access | Times Cited: 113
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

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