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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:

Multi-Time and Multi-Band CSP Motor Imagery EEG Feature Classification Algorithm
Jun Yang, Zhengmin Ma, Tao Shen
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10294-10294
Open Access | Times Cited: 10

Showing 10 citing articles:

Electroencephalogram channel selection based on pearson correlation coefficient for motor imagery-brain-computer interface
Pawan Pawan, Rohtash Dhiman
Measurement Sensors (2022) Vol. 25, pp. 100616-100616
Open Access | Times Cited: 40
Machine learning techniques for electroencephalogram based brain-computer interface: A systematic literature review
Pawan Pawan, Rohtash Dhiman
Measurement Sensors (2023) Vol. 28, pp. 100823-100823
Open Access | Times Cited: 20
EEG_GENet: A feature-level graph embedding method for motor imagery classification based on EEG signals
Huiyang Wang, Hua Yu, Haixian Wang
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 1023-1040
Closed Access | Times Cited: 23
Motor Imagery EEG Classification Based on a Weighted Multi-Branch Structure Suitable for Multisubject Data
H. Y. Wang, Jiuchuan Jiang, John Q. Gan, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 70, Iss. 11, pp. 3040-3051
Open Access | Times Cited: 8
A parallel-hierarchical neural network (PHNN) for motor imagery EEG signal classification
K. Lu, Hao Guo, Zhihao Gu, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105621-105621
Closed Access | Times Cited: 4
An Evaluation of Machine Learning Methods for Classifying EEG Signals Associated with Motor Imagery
Vaishali Shirodkar, Damodar Reddy Edla
(2023), pp. 1-6
Closed Access | Times Cited: 4
Motor imagery EEG signal classification based on deformable convolution v3 and adaptive spatial attention mechanism
Xiuli Du, Meiling Xi, Xiaohui Ding, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106905-106905
Closed Access | Times Cited: 1
Brain-computer interface prototype to support upper limb rehabilitation processes in the human body
Daniela Camargo-Vargas, Mauro Callejas-Cuervo, Andrea Catherine Alarcón-Aldana
International Journal of Information Technology (2023) Vol. 15, Iss. 7, pp. 3655-3667
Open Access | Times Cited: 3
A novel scheme based on information theory and transfer learning for multi classes motor imagery decoding
Jaber Parchami, Ghazaleh Sarbishaei
IET Signal Processing (2023) Vol. 17, Iss. 5
Open Access | Times Cited: 2
Classification of Motor Imagery Eeg Signals Based on Deformable Convolution V3 and Adaptive Spatial Attention Mechanism
Xiuli Du, Meiling Xi, Xiaohui Ding, et al.
(2024)
Closed Access
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