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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:

Classification of human hand movements based on EMG signals using nonlinear dimensionality reduction and data fusion techniques
Neta Rabin, Maayan Kahlon, Sarit Malayev, et al.
Expert Systems with Applications (2020) Vol. 149, pp. 113281-113281
Closed Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

A Comprehensive Review of Dimensionality Reduction Techniques for Feature Selection and Feature Extraction
Rizgar R. Zebari, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, et al.
Journal of Applied Science and Technology Trends (2020) Vol. 1, Iss. 1, pp. 56-70
Open Access | Times Cited: 698
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
Sen Qiu, Hongkai Zhao, Nan Jiang, et al.
Information Fusion (2021) Vol. 80, pp. 241-265
Closed Access | Times Cited: 444
Innovative Materials Science via Machine Learning
Chaochao Gao, Xin Min, Minghao Fang, et al.
Advanced Functional Materials (2021) Vol. 32, Iss. 1
Closed Access | Times Cited: 131
Feature selection and dimensionality reduction: An extensive comparison in hand gesture classification by sEMG in eight channels armband approach
José Jair Alves Mendes, Melissa La Banca Freitas, Hugo Valadares Siqueira, et al.
Biomedical Signal Processing and Control (2020) Vol. 59, pp. 101920-101920
Closed Access | Times Cited: 73
sEMG time–frequency features for hand movements classification
Somar Karheily, Ali Moukadem, Jean‐Baptiste Courbot, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118282-118282
Open Access | Times Cited: 36
Review on electromyography based intention for upper limb control using pattern recognition for human-machine interaction
Asghar Ali, Saad Jawaid Khan, Fahad Azim, et al.
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2022) Vol. 236, Iss. 5, pp. 628-645
Closed Access | Times Cited: 31
Comparative analysis of SVM and Naive Bayes classifier for the SEMG signal classification
Yogendra Narayan
Materials Today Proceedings (2020) Vol. 37, pp. 3241-3245
Closed Access | Times Cited: 41
A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal
Mehmet Bayğın, Prabal Datta Barua, Şengül Doğan, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 2007-2007
Open Access | Times Cited: 24
Classification of hand and wrist movements via surface electromyogram using the random convolutional kernels transform
Daniel Ovadia, Alex Segal, Neta Rabin
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Development of six-degree-of-freedom prosthetic hand with integrated voice and electromyography control using machine learning
Fariha Shabbir, Muzzaffar Iqbal, Asghar Ali, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109949-109949
Closed Access
An optimized electrode configuration for wrist wearable EMG-based hand gesture recognition using machine learning
Kartik Prakash, Nissan Kunju
Expert Systems with Applications (2025) Vol. 274, pp. 127040-127040
Closed Access
A new framework for classification of multi-category hand grasps using EMG signals
Firas Sabar Miften, Mohammed Diykh, Shahab Abdulla, et al.
Artificial Intelligence in Medicine (2020) Vol. 112, pp. 102005-102005
Closed Access | Times Cited: 37
Deep learning and machine learning techniques to improve hand movement classification in myoelectric control system
R. Rajapriya, K. Rajeswari, Thiruvengadam S.J.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 2, pp. 554-571
Closed Access | Times Cited: 28
Big data dimensionality reduction techniques in IoT: review, applications and open research challenges
Ridhima Rani, Meenu Khurana, Ajay Kumar, et al.
Cluster Computing (2022) Vol. 25, Iss. 6, pp. 4027-4049
Closed Access | Times Cited: 17
A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms
Rotem Haba, Gonen Singer, Sara Naftali, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119799-119799
Closed Access | Times Cited: 10
Muscle network topology analysis for the classification of chronic neck pain based on EMG biomarkers extracted during walking
David Jiménez‐Grande, S. Farokh Atashzar, Eduardo Martinez‐Valdes, et al.
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0252657-e0252657
Open Access | Times Cited: 21
Recognition of lower limb movements using empirical mode decomposition and k-nearest neighbor entropy estimator with surface electromyogram signals
Chunfeng Wei, Hong Wang, Yanzheng Lu, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103198-103198
Closed Access | Times Cited: 18
Evaluation of feature projection techniques in object grasp classification using electromyogram signals from different limb positions
Nantarika Thiamchoo, Pornchai Phukpattaranont
PeerJ Computer Science (2022) Vol. 8, pp. e949-e949
Open Access | Times Cited: 13
Classification of tracheal stenosis with asymmetric misclassification errors from EMG signals using an adaptive cost-sensitive learning method
Ohad Volk, Anat Ratnovsky, Sara Naftali, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104962-104962
Closed Access | Times Cited: 7
CWT-ViT: A time-frequency representation and vision transformer-based framework for automated robotic surgical skill assessment
Yiming Zhang, Ying Weng, Boding Wang
Expert Systems with Applications (2024) Vol. 258, pp. 125064-125064
Closed Access | Times Cited: 2
A data-driven reduced-order model of nonlinear processes based on diffusion maps and artificial neural networks
Eleni D. Koronaki, Αλέξανδρος Νίκας, Andreas G. Boudouvis
Chemical Engineering Journal (2020) Vol. 397, pp. 125475-125475
Closed Access | Times Cited: 18
Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding
Svenja Melbaum, Eleonora Russo, David Eriksson, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Dimensionality reduction for classification of object weight from electromyography
Elnaz Lashgari, Uri Maoz
PLoS ONE (2021) Vol. 16, Iss. 8, pp. e0255926-e0255926
Open Access | Times Cited: 15
Applying Machine Learning to Finger Movements Using Electromyography and Visualization in Opensim
José Alejandro Amézquita García, Miguel E. Bravo-Zanoguera, Félix F. González-Navarro, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3737-3737
Open Access | Times Cited: 10
EMG-based speech recognition using dimensionality reduction methods
Anat Ratnovsky, Sarit Malayev, Shahar Ratnovsky, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 1, pp. 597-607
Closed Access | Times Cited: 13
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