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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:

TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition
Elahe Rahimian, Soheil Zabihi, Amir Asif, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 13

Showing 13 citing articles:

Movements Classification Through sEMG With Convolutional Vision Transformer and Stacking Ensemble Learning
Shu Shen, Xuebin Wang, Fan Mao, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 13, pp. 13318-13325
Closed Access | Times Cited: 40
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
A Global and Local Feature fused CNN architecture for the sEMG-based hand gesture recognition
Baoping Xiong, Wensheng Chen, Yinxi Niu, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107497-107497
Closed Access | Times Cited: 23
Gesture Recognition Using MLP-Mixer With CNN and Stacking Ensemble for sEMG Signals
Shu Shen, Minglei Li, Fan Mao, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 4960-4968
Closed Access | Times Cited: 6
A BERT Based Method for Continuous Estimation of Cross-Subject Hand Kinematics From Surface Electromyographic Signals
Chuang Lin, Xingjian Chen, Weiyu Guo, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 87-96
Open Access | Times Cited: 19
From Forearm to Wrist: Deep Learning for Surface Electromyography-Based Gesture Recognition
Jiayuan He, Xinyue Niu, Penghui Zhao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 32, pp. 102-111
Open Access | Times Cited: 12
LST-EMG-Net: Long short-term transformer feature fusion network for sEMG gesture recognition
Wenli Zhang, Tingsong Zhao, Jianyi Zhang, et al.
Frontiers in Neurorobotics (2023) Vol. 17
Open Access | Times Cited: 9
Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifolds
Harshavardhana T. Gowda, Lee M Miller
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036047-036047
Open Access | Times Cited: 2
Transformers in biosignal analysis: A review
Ayman Anwar, Yassin Khalifa, James L. Coyle, et al.
Information Fusion (2024) Vol. 114, pp. 102697-102697
Closed Access | Times Cited: 2
SCTNET: Shifted Windows and Convolution Layers Transformer for Continuous Angle Estimation of Finger Joints Using sEMG
Zida An, Fei Wang, Chuanjian Ren, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 27007-27016
Closed Access | Times Cited: 1
Convolution‐enhanced vision transformer method for lower limb exoskeleton locomotion mode recognition
Jianbin Zheng, Chaojie Wang, Liping Huang, et al.
Expert Systems (2024) Vol. 41, Iss. 10
Closed Access
EMGTFNet: Fuzzy Vision Transformer to Decode Upperlimb sEMG Signals for Hand Gestures Recognition
Joseph Cherre Córdova, Christian Flores, Javier Andreu-Pérez
(2023), pp. 1-6
Closed Access
An sEMG-Controlled Prosthetic Hand Featuring a Tiny CNN-Transformer Model and Force Feedback
Savanna Blade, Zongyan Yao, Yuhan Hou, et al.
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) (2023), pp. 1-5
Closed Access
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