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:

ResNet‐Attention model for human authentication using ECG signals
Mohamed Hammad, Paweł Pławiak, Kuanquan Wang, et al.
Expert Systems (2020) Vol. 38, Iss. 6
Closed Access | Times Cited: 117

Showing 26-50 of 117 citing articles:

Stacking-based and improved convolutional neural network: a new approach in rice leaf disease identification
Le Yang, Xiaoyun Yu, Shaoping Zhang, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 21

Advanced Deep Learning for Resource Allocation and Security Aware Data Offloading in Industrial Mobile Edge Computing
Ibrahim A. Elgendy, Ammar Muthanna, Mohammad Hammoudeh, et al.
Big Data (2021) Vol. 9, Iss. 4, pp. 265-278
Closed Access | Times Cited: 39

A fast and robust mixture gases identification and concentration detection algorithm based on attention mechanism equipped recurrent neural network with double loss function
Xiaofang Pan, Zhe Zhang, Haien Zhang, et al.
Sensors and Actuators B Chemical (2021) Vol. 342, pp. 129982-129982
Closed Access | Times Cited: 39

EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication
Nabil Ibtehaz, Muhammad E. H. Chowdhury, Amith Khandakar, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2021) Vol. 6, Iss. 4, pp. 928-940
Open Access | Times Cited: 36

Multi-scale deep neural network approach with attention mechanism for remaining useful life estimation
Ahmet Kara
Computers & Industrial Engineering (2022) Vol. 169, pp. 108211-108211
Closed Access | Times Cited: 27

Opportunistic Multi-Modal User Authentication for Health-Tracking IoT Wearables
Alexa Muratyan, William Cheung, Sayanton V. Dibbo, et al.
EAI/Springer Innovations in Communication and Computing (2022), pp. 1-18
Closed Access | Times Cited: 26

Real-time driver distraction recognition: A hybrid genetic deep network based approach
Abeer. A. Aljohani
Alexandria Engineering Journal (2022) Vol. 66, pp. 377-389
Open Access | Times Cited: 26

A wavelet-based capsule neural network for ECG biometric identification
Imane El Boujnouni, Hassan Zili, Abdelhak Tali, et al.
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103692-103692
Closed Access | Times Cited: 25

An IOT framework for detecting cardiac arrhythmias in real-time using deep learning resnet model
S. Sai Kumar, Dhruva R. Rinku, A. Pradeep Kumar, et al.
Measurement Sensors (2023) Vol. 29, pp. 100866-100866
Open Access | Times Cited: 13

Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection
Wojciech Książek, Mohamed Hammad, Paweł Pławiak, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 4, pp. 1512-1524
Closed Access | Times Cited: 38

Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey
Shuqi Liu, Wei Shao, Tan Li, et al.
Digital Signal Processing (2021) Vol. 125, pp. 103120-103120
Closed Access | Times Cited: 32

Novel three kernelled binary pattern feature extractor based automated PCG sound classification method
Mehmet Ali Kobat, Şengül Doğan
Applied Acoustics (2021) Vol. 179, pp. 108040-108040
Closed Access | Times Cited: 29

Epilepsy attacks recognition based on 1D octal pattern, wavelet transform and EEG signals
Türker Tuncer, Şengül Doğan, Ganesh R. Naik, et al.
Multimedia Tools and Applications (2021) Vol. 80, Iss. 16, pp. 25197-25218
Open Access | Times Cited: 29

Classification of ECG signal using FFT based improved Alexnet classifier
M. Arunkumar, Arvind Chakrapani
PLoS ONE (2022) Vol. 17, Iss. 9, pp. e0274225-e0274225
Open Access | Times Cited: 21

Development and Validation of Embedded Device for Electrocardiogram Arrhythmia Empowered with Transfer Learning
Rizwana Naz Asif, Sagheer Abbas, Muhammad Adnan Khan, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 20

Deep Learning-Based Data Augmentation and Model Fusion for Automatic Arrhythmia Identification and Classification Algorithms
Shuai Ma, Jianfeng Cui, Weidong Xiao, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 19

Deep Reinforcement Learning-Based Joint Spectrum Allocation and Configuration Design for STAR-RIS-Assisted V2X Communications
Pyae Sone Aung, Loc X. Nguyen, Yan Kyaw Tun, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 7, pp. 11298-11311
Open Access | Times Cited: 12

Bag of On-Phone ANNs to Secure IoT Objects Using Wearable and Smartphone Biometrics
Sudip Vhaduri, William W. L. Cheung, Sayanton V. Dibbo
IEEE Transactions on Dependable and Secure Computing (2023) Vol. 21, Iss. 3, pp. 1127-1138
Closed Access | Times Cited: 11

HRIDM: Hybrid Residual/Inception-Based Deeper Model for Arrhythmia Detection from Large Sets of 12-Lead ECG Recordings
Syed Atif Moqurrab, Hari Mohan, Joon Yoo
Algorithms (2024) Vol. 17, Iss. 8, pp. 364-364
Open Access | Times Cited: 4

Enhancing biometric identification using 12-lead ECG signals and graph convolutional networks
Maram Al Alfi, Pedro Peris-López, Carmen Cámara
Frontiers in Digital Health (2025) Vol. 7
Open Access

Automatic classification of healthy and disease conditions from images or digital standard 12-lead electrocardiograms
Вадим Глинер, Noam Keidar, Vladimir Makarov, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 32

EEG-Brain Activity Monitoring and Predictive Analysis of Signals Using Artificial Neural Networks
Raluca Maria Aileni, Sever Pasca, Adriana Florescu
Sensors (2020) Vol. 20, Iss. 12, pp. 3346-3346
Open Access | Times Cited: 29

Machine learning models for ecological footprint prediction based on energy parameters
Radmila Janković, Ivan Mihajlović, Nada Štrbac, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 12, pp. 7073-7087
Closed Access | Times Cited: 28

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