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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:

Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors
Angkoon Phinyomark, Rami N. Khushaba, Erik Scheme
Sensors (2018) Vol. 18, Iss. 5, pp. 1615-1615
Open Access | Times Cited: 270

Showing 1-25 of 270 citing articles:

A review of feature selection methods in medical applications
Beatriz Remeseiro, Verónica Bolón‐Canedo
Computers in Biology and Medicine (2019) Vol. 112, pp. 103375-103375
Closed Access | Times Cited: 657
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
Ulysse Côté‐Allard, Cheikh Latyr Fall, Alexandre Drouin, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 4, pp. 760-771
Open Access | Times Cited: 593
EMG Pattern Recognition in the Era of Big Data and Deep Learning
Angkoon Phinyomark, Erik Scheme
Big Data and Cognitive Computing (2018) Vol. 2, Iss. 3, pp. 21-21
Open Access | Times Cited: 212
Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques
Muhammad Zia ur Rehman, Asim Waris, Syed Omer Gilani, et al.
Sensors (2018) Vol. 18, Iss. 8, pp. 2497-2497
Open Access | Times Cited: 202
Real-Time Hand Gesture Recognition Using Surface Electromyography and Machine Learning: A Systematic Literature Review
Andres G. Jaramillo, Marco E. Benalcázar, Elisa Mena-Maldonado
Sensors (2020) Vol. 20, Iss. 9, pp. 2467-2467
Open Access | Times Cited: 187
Surface Electromyography as a Natural Human–Machine Interface: A Review
Mingde Zheng, Michael S. Crouch, Michael S. Eggleston
IEEE Sensors Journal (2022) Vol. 22, Iss. 10, pp. 9198-9214
Open Access | Times Cited: 73
Hand-Gesture Recognition Based on EMG and Event-Based Camera Sensor Fusion: A Benchmark in Neuromorphic Computing
Enea Ceolini, Charlotte Frenkel, Sumit Bam Shrestha, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 137
A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control
Ali Ameri, Mohammad Ali Akhaee, Erik Scheme, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 28, Iss. 2, pp. 370-379
Closed Access | Times Cited: 124
Current Trends and Confounding Factors in Myoelectric Control: Limb Position and Contraction Intensity
Evan Campbell, Angkoon Phinyomark, Erik Scheme
Sensors (2020) Vol. 20, Iss. 6, pp. 1613-1613
Open Access | Times Cited: 102
Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted Features
Ulysse Côté‐Allard, Evan Campbell, Angkoon Phinyomark, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 101
Myoelectric Interfaces and Related Applications: Current State of EMG Signal Processing–A Systematic Review
Bernabé Rodríguez-Tapia, Israel Soto, Daniela M. Martínez, et al.
IEEE Access (2020) Vol. 8, pp. 7792-7805
Open Access | Times Cited: 96
A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection
Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad
Informatics (2019) Vol. 6, Iss. 2, pp. 21-21
Open Access | Times Cited: 77
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
Electromyogram-Based Classification of Hand and Finger Gestures Using Artificial Neural Networks
Kyung Hyun Lee, Ji Young Min, Sangwon Byun
Sensors (2021) Vol. 22, Iss. 1, pp. 225-225
Open Access | Times Cited: 65
A Transfer Learning Model for Gesture Recognition Based on the Deep Features Extracted by CNN
Yongxiang Zou, Long Cheng
IEEE Transactions on Artificial Intelligence (2021) Vol. 2, Iss. 5, pp. 447-458
Open Access | Times Cited: 59
Large‐Scale Ultra‐Robust MoS2 Patterns Directly Synthesized on Polymer Substrate for Flexible Sensing Electronics
Weiwei Li, Manzhang Xu, Jiuwei Gao, et al.
Advanced Materials (2022) Vol. 35, Iss. 8
Closed Access | Times Cited: 52
Surface Electromyography and Artificial Intelligence for Human Activity Recognition—A Systematic Review on Methods, Emerging Trends Applications, Challenges, and Future Implementation
Gundala Jhansi Rani, Mohammad Farukh Hashmi, Aditya Gupta
IEEE Access (2023) Vol. 11, pp. 105140-105169
Open Access | Times Cited: 25
Evaluation of the Myo armband for the classification of hand motions
Irene Méndez Guerra, B. W. Hansen, Christopher Grabow, et al.
(2017)
Open Access | Times Cited: 68
Hand medical monitoring system based on machine learning and optimal EMG feature set
Mingchao Yu, Gongfa Li, Du Jiang, et al.
Personal and Ubiquitous Computing (2019) Vol. 27, Iss. 6, pp. 1991-2007
Closed Access | Times Cited: 68
Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations
Angkoon Phinyomark, Evan Campbell, Erik Scheme
Series in bioengineering (2019), pp. 3-29
Closed Access | Times Cited: 67
A Low-Cost, Wireless, 3-D-Printed Custom Armband for sEMG Hand Gesture Recognition
Ulysse Côté‐Allard, Gabriel Gagnon-Turcotte, François Laviolette, et al.
Sensors (2019) Vol. 19, Iss. 12, pp. 2811-2811
Open Access | Times Cited: 64
Teleoperated robotic arm movement using electromyography signal with wearable Myo armband
Hussein F. Hassan, Sadiq J. Abou-Loukh, Ibraheem Kasim Ibraheem
Journal of King Saud University - Engineering Sciences (2019) Vol. 32, Iss. 6, pp. 378-387
Open Access | Times Cited: 61
Persian sign language recognition using IMU and surface EMG sensors
Sara Askari Khomami, Sina Shamekhi
Measurement (2020) Vol. 168, pp. 108471-108471
Closed Access | Times Cited: 54
Surface EMG-Based Instantaneous Hand Gesture Recognition Using Convolutional Neural Network with the Transfer Learning Method
Zhipeng Yu, Jianghai Zhao, Yucheng Wang, et al.
Sensors (2021) Vol. 21, Iss. 7, pp. 2540-2540
Open Access | Times Cited: 42
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
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