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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:

FPGA-based system for artificial neural network arrhythmia classification
Hadjer Zairi, Malika Kedir Talha, Karim Meddah, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 8, pp. 4105-4120
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Emotion recognition in EEG signals using deep learning methods: A review
Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107450-107450
Open Access | Times Cited: 76
Fuzz-ClustNet: Coupled fuzzy clustering and deep neural networks for Arrhythmia detection from ECG signals
Sanjay Kumar, Abhishek Mallik, Akshi Kumar, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106511-106511
Open Access | Times Cited: 50
FPGA-based real-time epileptic seizure classification using Artificial Neural Network
Rijad Sarić, Dejan Jokić, Nejra Beganović, et al.
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102106-102106
Closed Access | Times Cited: 116
A novel deep learning approach for early detection of cardiovascular diseases from ECG signals
ST. Aarthy, J. L. Mazher Iqbal
Medical Engineering & Physics (2024) Vol. 125, pp. 104111-104111
Closed Access | Times Cited: 11
A novel hybrid deep learning method with cuckoo search algorithm for classification of arrhythmia disease using ECG signals
Pooja Sharma, Shail Kumar Dinkar, Deep Gupta
Neural Computing and Applications (2021) Vol. 33, Iss. 19, pp. 13123-13143
Closed Access | Times Cited: 51
Identification of high-risk COVID-19 patients using machine learning
Mario A. Quiroz‐Juárez, Armando Torres Gómez, Irma Hoyo-Ulloa, et al.
PLoS ONE (2021) Vol. 16, Iss. 9, pp. e0257234-e0257234
Open Access | Times Cited: 51
ULECGNet: An Ultra-Lightweight End-to-End ECG Classification Neural Network
Jianbiao Xiao, Jiahao Liu, Huanqi Yang, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 1, pp. 206-217
Closed Access | Times Cited: 42
Hardware implementation of radial-basis neural networks with Gaussian activation functions on FPGA
Volodymyr Shymkovych, Sergii Telenyk, Petro Kravets
Neural Computing and Applications (2021) Vol. 33, Iss. 15, pp. 9467-9479
Open Access | Times Cited: 41
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
Artificial neural network-based DTC of an induction machine with experimental implementation on FPGA
Soufien Gdaim, Abdellatif Mtibaa, Mohamed Faouzi Mimouni
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105972-105972
Closed Access | Times Cited: 17
Thermal error prediction for heavy-duty CNC machines enabled by long short-term memory networks and fog-cloud architecture
Yuchen Liang, Weidong Li, Ping Lou, et al.
Journal of Manufacturing Systems (2020) Vol. 62, pp. 950-963
Open Access | Times Cited: 49
Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method
Kandala N. V. P. S. Rajesh, Ravindra Dhuli, Paweł Pławiak, et al.
Sensors (2019) Vol. 19, Iss. 23, pp. 5079-5079
Open Access | Times Cited: 48
An Energy Efficient ECG Ventricular Ectopic Beat Classifier Using Binarized CNN for Edge AI Devices
David Liang Tai Wong, Yongfu Li, Deepu John, et al.
IEEE Transactions on Biomedical Circuits and Systems (2022) Vol. 16, Iss. 2, pp. 222-232
Closed Access | Times Cited: 24
FPGA-Based Decision Support System for ECG Analysis
Agostino Giorgio, Cataldo Guaragnella, María Rízzí
Journal of Low Power Electronics and Applications (2023) Vol. 13, Iss. 1, pp. 6-6
Open Access | Times Cited: 14
FPGA-based implementation of classification techniques: A survey
Afef Saidi, Slim Ben Othman, Meriam Dhouibi, et al.
Integration (2021) Vol. 81, pp. 280-299
Closed Access | Times Cited: 30
FPGA implementation of edge-side motor fault diagnosis using a Kalman filter-based empirical mode decomposition algorithm
Jiaxin Li, Maosong Cheng, Yong-Bo Wei, et al.
Control Engineering Practice (2025) Vol. 159, pp. 106312-106312
Closed Access
AutoMLP: A Framework for the Acceleration of Multi-Layer Perceptron Models on FPGAs for Real-Time Atrial Fibrillation Disease Detection
Chao Chen, Bruno da Silva, Chenxi Yang, et al.
IEEE Transactions on Biomedical Circuits and Systems (2023) Vol. 17, Iss. 6, pp. 1371-1386
Closed Access | Times Cited: 9
Energy-efficient computing-in-memory architecture for AI processor: device, circuit, architecture perspective
Liang Chang, Chenglong Li, Zhaomin Zhang, et al.
Science China Information Sciences (2021) Vol. 64, Iss. 6
Closed Access | Times Cited: 20
Automatic Arrhythmia Detection Based on the Probabilistic Neural Network with FPGA Implementation
Rohini Srivastava, Basant Kumar, Fayadh Alenezi, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 15
A fully-mapped and energy-efficient FPGA accelerator for dual-function AI-based analysis of ECG
Wenhan Liu, Qianxi Guo, Siyun Chen, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 8
Accelerating deep convolutional neural network on FPGA for ECG signal classification
V B K L Aruna, E. Chitra, M. Padmaja
Microprocessors and Microsystems (2023) Vol. 103, pp. 104939-104939
Closed Access | Times Cited: 7
FPGA Implementation of a CNN Application for ECG Class Detection
Marwa Fradi, Khriji Lazhar, El-Hadi Zahzah, et al.
Traitement du signal (2024) Vol. 41, Iss. 1, pp. 179-188
Open Access | Times Cited: 2
LDCNN: A new arrhythmia detection technique with ECG signals using a linear deep convolutional neural network
Ali Bayani, Masoud Kargar
Physiological Reports (2024) Vol. 12, Iss. 17
Open Access | Times Cited: 2
FPGA-Based Low-Cost Architecture for R-Peak Detection and Heart-Rate Calculation Using Lifting-Based Discrete Wavelet Transform
Anusaka Gon, Atin Mukherjee
Circuits Systems and Signal Processing (2022) Vol. 42, Iss. 1, pp. 580-600
Closed Access | Times Cited: 11
Resource and Energy Efficient Implementation of ECG Classifier Using Binarized CNN for Edge AI Devices
David Liang Tai Wong, Yongfu Li, Deepu John, et al.
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2021), pp. 1-5
Closed Access | Times Cited: 15
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