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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:

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: 213

Showing 51-75 of 213 citing articles:

Adoption of Artificial Intelligence Along with Gesture Interactive Robot in Musical Perception Education Based on Deep Learning Method
Chao Zhang, Huizi Li
International Journal of Humanoid Robotics (2022) Vol. 19, Iss. 03
Closed Access | Times Cited: 22
A New Wrist–Forearm Rehabilitation Protocol Integrating Human Biomechanics and SVM-Based Machine Learning for Muscle Fatigue Estimation
Yassine Bouteraa, Ismail Ben Abdallah, Khalil Boukthir
Bioengineering (2023) Vol. 10, Iss. 2, pp. 219-219
Open Access | Times Cited: 12
Grasp Pattern Recognition Using Surface Electromyography Signals and Bayesian-Optimized Support Vector Machines for Low-Cost Hand Prostheses
A. Grattarola, Marta C. Mora, Joaquín Cerdá Boluda, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1062-1062
Open Access
The Evolutionary Impact of Pattern Recognition in Research Applications: A Wide Spectrum Survey
Sumit Pal, Sovan Bhattacharya, Bappaditya Mondal, et al.
Springer proceedings in mathematics & statistics (2025), pp. 405-415
Closed Access
Optimized strategies for developing high-speed muscle activity monitors utilizing multi-resolution energy operator
Shenglin Wang, Guang Zhao, Yangfan Liao
Frontiers in Bioengineering and Biotechnology (2025) Vol. 13
Open Access
Green Cognitive Body Sensor Network: Architecture, Energy Harvesting, and Smart Clothing-Based Applications
Yiming Miao, Gaoxiang Wu, Chuan Liu, et al.
IEEE Sensors Journal (2018) Vol. 19, Iss. 19, pp. 8371-8378
Closed Access | Times Cited: 36
The fusion of Internet of Intelligent Things (IoIT) in remote diagnosis of obstructive Sleep Apnea: A survey and a new model
Mohamed Abdel‐Basset, Weiping Ding, Laila Abdel‐Fatah
Information Fusion (2020) Vol. 61, pp. 84-100
Closed Access | Times Cited: 31
Hilbert sEMG data scanning for hand gesture recognition based on deep learning
Panagiotis Tsinganos, Bruno Cornelis, Jan Cornelis, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 7, pp. 2645-2666
Open Access | Times Cited: 30
Recursive Multi-Signal Temporal Fusions With Attention Mechanism Improves EMG Feature Extraction
Rami N. Khushaba, Angkoon Phinyomark, Ali H. Al‐Timemy, et al.
IEEE Transactions on Artificial Intelligence (2020) Vol. 1, Iss. 2, pp. 139-150
Closed Access | Times Cited: 29
Efficient deep neural network model for classification of grasp types using sEMG signals
Musab Coşkun, Özal Yıldırım, Yakup Demir, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 13, Iss. 9, pp. 4437-4450
Closed Access | Times Cited: 27
A Hierarchical View Pooling Network for Multichannel Surface Electromyography-Based Gesture Recognition
Wentao Wei, Hong Hong, Xiaoli Wu
Computational Intelligence and Neuroscience (2021) Vol. 2021, pp. 1-13
Open Access | Times Cited: 25
Compression of EMG Signals Using Deep Convolutional Autoencoders
Kimia Dinashi, Ali Ameri, Mohammad Ali Akhaee, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 7, pp. 2888-2897
Closed Access | Times Cited: 18
MSFF-Net: Multi-Stream Feature Fusion Network for surface electromyography gesture recognition
Xiangdong Peng, Xiao Na Zhou, Huaqiang Zhu, et al.
PLoS ONE (2022) Vol. 17, Iss. 11, pp. e0276436-e0276436
Open Access | Times Cited: 18
An approach to continuous hand movement recognition using SEMG based on features fusion
Jun Li, Lixin Wei, Yintang Wen, et al.
The Visual Computer (2022) Vol. 39, Iss. 5, pp. 2065-2079
Closed Access | Times Cited: 17
Force-Aware Interface via Electromyography for Natural VR/AR Interaction
Yunxiang Zhang, Benjamin Liang, Boyuan Chen, et al.
ACM Transactions on Graphics (2022) Vol. 41, Iss. 6, pp. 1-18
Open Access | Times Cited: 17
Rejecting Unknown Gestures Based on Surface-Electromyography Using Variational Autoencoder
Qingfeng Dai, Yongkang Wong, Mohan Kankanhalli, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 750-758
Open Access | Times Cited: 3
Myoelectric Prosthesis Control using Recurrent Convolutional Neural Network Regression Mitigates the Limb Position Effect
Heather E. Williams, Ahmed W. Shehata, Kodi Y. Cheng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Deep learning approach to improve the recognition of hand gesture with multi force variation using electromyography signal from amputees
Triwiyanto Triwiyanto, I Putu Alit Pawana, Wahyu Caesarendra
Medical Engineering & Physics (2024) Vol. 125, pp. 104131-104131
Closed Access | Times Cited: 3
sEMG-Based Robust Recognition of Grasping Postures with a Machine Learning Approach for Low-Cost Hand Control
Marta C. Mora, José Vicente García Ortiz, Joaquín Cerdá Boluda
Sensors (2024) Vol. 24, Iss. 7, pp. 2063-2063
Open Access | Times Cited: 3
Multi-DoF continuous estimation for wrist torques using stacked autoencoder
Yang Yu, Chen Chen, Xinjun Sheng, et al.
Biomedical Signal Processing and Control (2019) Vol. 57, pp. 101733-101733
Closed Access | Times Cited: 29
Improve Inter-day Hand Gesture Recognition Via Convolutional Neural Network-based Feature Fusion
Yinfeng Fang, Xuguang Zhang, Dalin Zhou, et al.
International Journal of Humanoid Robotics (2020) Vol. 18, Iss. 02, pp. 2050025-2050025
Open Access | Times Cited: 25
Recurrent Neural Network for electromyographic gesture recognition in transhumeral amputees
Olivier Barron, Maxime Raison, Guillaume Gaudet, et al.
Applied Soft Computing (2020) Vol. 96, pp. 106616-106616
Closed Access | Times Cited: 24
Improvement of EMG Pattern Recognition Model Performance in Repeated Uses by Combining Feature Selection and Incremental Transfer Learning
Qi Li, Anyuan Zhang, Zhenlan Li, et al.
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 22
Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance
Ahmed W. Shehata, Heather E. Williams, Jacqueline S. Hebert, et al.
IEEE Signal Processing Magazine (2021) Vol. 38, Iss. 4, pp. 46-53
Closed Access | Times Cited: 22
A long short-term recurrent spatial-temporal fusion for myoelectric pattern recognition
Rami N. Khushaba, Erik Scheme, Ali H. Al‐Timemy, et al.
Expert Systems with Applications (2021) Vol. 178, pp. 114977-114977
Closed Access | Times Cited: 21

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