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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:

Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability
Jaesung Yoo, Ilhan Yoo, Ina Youn, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107079-107079
Open Access | Times Cited: 10

Showing 10 citing articles:

Comparative Analysis of Modified Partial Least Squares Regression and Hybrid Deep Learning Models for Predicting Protein Content in Perilla (Perilla frutescens L.) Seed Meal Using NIR Spectroscopy
Simardeep Kaur, Naseeb Singh, Preety Dagar, et al.
Food Bioscience (2024) Vol. 61, pp. 104821-104821
Closed Access | Times Cited: 10
Artificial intelligence for automatic classification of needle EMG signals: A scoping review
Stijn W. de Jonge, Wouter V. Potters, Camiel Verhamme
Clinical Neurophysiology (2024) Vol. 159, pp. 41-55
Open Access | Times Cited: 7
Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study
Soonil Kwon, SooMin Chung, So‐Ryoung Lee, et al.
Digital Health (2025) Vol. 11
Open Access
Review learning: Real world validation of privacy preserving continual learning across medical institutions
Jaesung Yoo, Sung Hyouk Choi, Ye Yang, et al.
Computers in Biology and Medicine (2025) Vol. 192, pp. 110239-110239
Closed Access
The role of artificial intelligence in electrodiagnostic and neuromuscular medicine:Currentstate and future directions
Mohamed Taha, John A. Morren
Muscle & Nerve (2023) Vol. 69, Iss. 3, pp. 260-272
Open Access | Times Cited: 9
Unveiling EMG semantics: a prototype-learning approach to generalizable gesture classification
Hunmin Lee, Ming Jiang, Jinhui Yang, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036031-036031
Open Access | Times Cited: 2
Classification of Term and Preterm Birth Data from Elektrohisterogram (EHG) Data by Empirical Wavelet Transform Based Machine Learning Methods
Erdem Tuncer
Balkan Journal of Electrical and Computer Engineering (2024)
Open Access
A Deep Neural Network to Classify Motor Unit Action Potential Signals Acquired by Needle Emg
Isil Tatlidil, Murat Eki̇nci̇, Cavit Boz
(2024)
Closed Access
On Neuromuscular Disease Detection from Electromyograms using Convolutional and Recurrent Neural Networks
Elhocine Boutellaa, Iheb Chaker Benakcha, Abdenour Hadid
(2024), pp. 1-5
Closed Access
Deep Learning Prediction of Reduced Left Ventricular Ejection Fraction Using Atrial Fibrillation or Flutter Electrocardiograms: A Machine-Learning Study (Preprint)
Soonil Kwon, SooMin Chung, So‐Ryoung Lee, et al.
(2023)
Closed Access
FUSED FUZZY DEEP NEURAL NETWORK METHOD BASED AUTOMATED DIAGNOSIS DISEASES OF MUSCLE

International Research Journal of Modernization in Engineering Technology and Science (2023)
Open Access
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