OpenAlex Citation Counts

OpenAlex Citations Logo

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:

The CSP-Based New Features Plus Non-Convex Log Sparse Feature Selection for Motor Imagery EEG Classification
Shaorong Zhang, Zhibin Zhu, Benxin Zhang, et al.
Sensors (2020) Vol. 20, Iss. 17, pp. 4749-4749
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Generative Adversarial Networks for Motor Imagery Classification using Wavelet Packet Decomposition and Complex Morlet Transform
Vaishali Shirodkar, Damodar Reddy Edla, Annu Kumari
Multimedia Tools and Applications (2025)
Closed Access | Times Cited: 1

Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis
Mary Judith Antony, Baghavathi Priya Sankaralingam, Rakesh Kumar Mahendran, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7596-7596
Open Access | Times Cited: 34

Ensemble Regularized Common Spatio-Spectral Pattern (ensemble RCSSP) model for motor imagery-based EEG signal classification
Mohammad Norizadeh Cherloo, Homa Kashefi Amiri, Mohammad Reza Daliri
Computers in Biology and Medicine (2021) Vol. 135, pp. 104546-104546
Closed Access | Times Cited: 36

Motor Imagery EEG Signals Decoding with Multi-view Weighted Features
Nan Li, Wenbin Li, Tingting Zhang, et al.
Communications in computer and information science (2025), pp. 338-349
Closed Access

A two-stage feature redundancy minimization methodology framework for motor imagery EEG classification
Heng Li, Zhongwei Lu, Yun Mo, et al.
Multimedia Tools and Applications (2025)
Closed Access

AMEEGNet: attention-based multiscale EEGNet for effective motor imagery EEG decoding
Xuejian Wu, Yaqi Chu, Qing Li, et al.
Frontiers in Neurorobotics (2025) Vol. 19
Open Access

High accuracy decoding of motor imagery directions from EEG-based brain computer interface using filter bank spatially regularised common spatial pattern method
P. Rithwik, V. K. Benzy, A. P. Vinod
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103241-103241
Closed Access | Times Cited: 25

EEG-based motor imagery classification using digraph Fourier transforms and extreme learning machines
M. H. Annaby, S. Mekhtoub, Ayman El‐Baz, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102831-102831
Closed Access | Times Cited: 18

A novel framework for classification of two-class motor imagery EEG signals using logistic regression classification algorithm
Rabia Avais Khan, Nasir Rashid, Muhammad Shahzaib, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0276133-e0276133
Open Access | Times Cited: 6

Motor Imagery EEG Decoding Based on New Spatial-Frequency Feature and Hybrid Feature Selection Method
Yuan Tang, Zining Zhao, Shaorong Zhang, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 10

A comprehensive review of the movement imaginary brain-computer interface methods: Challenges and future directions
Sadaf Khademi, Mehrnoosh Neghabi, Morteza Farahi, et al.
Elsevier eBooks (2022), pp. 23-74
Closed Access | Times Cited: 10

EEG-Based Multi-Frequency Multilayer Network for Exploring the Brain State Evolution Underlying Motor Imagery
Dongmei Lv, Weidong Dang, Xinlin Sun, et al.
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2023) Vol. 13, Iss. 3, pp. 712-719
Closed Access | Times Cited: 4

Efficient Feature Learning Model of Motor Imagery EEG Signals with L1-Norm and Weighted Fusion
Xiangzeng Kong, Cailin Wu, Shimiao Chen, et al.
Biosensors (2024) Vol. 14, Iss. 5, pp. 211-211
Open Access | Times Cited: 1

Classification of motor imagery using chaotic entropy based on sub-band EEG source localization
Jicheng Bi, Yunyuan Gao, Peng Zheng, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036016-036016
Closed Access | Times Cited: 1

Influence of Temporal and Frequency Selective Patterns Combined with CSP Layers on Performance in Exoskeleton-Assisted Motor Imagery Tasks
Cristian David Guerrero-Méndez, Cristian Felipe Blanco-Díaz, Hamilton Rivera-Flor, et al.
NeuroSci (2024) Vol. 5, Iss. 2, pp. 169-183
Open Access | Times Cited: 1

Developing a tablet-based brain-computer interface and robotic prototype for upper limb rehabilitation
Kishor Lakshminarayanan, Vadivelan Ramu, Rakshit Shah, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2174-e2174
Open Access | Times Cited: 1

Cortical Source Domain Based Motor Imagery and Motor Execution Framework for Enhanced Brain Computer Interface Applications
Amita Giri, Lalan Kumar, Tapan Kumar Gandhi
IEEE Sensors Letters (2021) Vol. 5, Iss. 12, pp. 1-4
Closed Access | Times Cited: 8

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

Evaluating the Motor Imagery Classification Performance of a Double-Layered Feature Selection on Two Different-Sized Datasets
Minh Tran Duc Nguyen, Nhi Yen Phan Xuan, Minh Bao Pham, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10388-10388
Open Access | Times Cited: 4

Classification of Motor Imagery Tasks Using EEG Signal Analysis and Linear Discriminant Analysis
Mayibongwe Bafoly, Ritesh Ajoodha
Smart innovation, systems and technologies (2024), pp. 99-115
Closed Access

Object Weight Perception in Motor Imagery Using Fourier-Based Synchrosqueezing Transform and Regularized Common Spatial Patterns
Nedime Karakullukcu, Fatıh Altindış, Bülent Yılmaz
IEEE Access (2024) Vol. 12, pp. 52978-52989
Open Access

A brief survey on human activity recognition using motor imagery of EEG signals
Seema Pankaj Mahalungkar, Rahul Shrivastava, Sanjeevkumar Angadi
Electromagnetic Biology and Medicine (2024), pp. 1-16
Closed Access

Page 1 - Next Page

Scroll to top