Open Access Helper

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:

A CSP\AM-BA-SVM Approach for Motor Imagery BCI System
Sahar Selim, Manal Tantawi, Howida A. Shedeed, et al.
IEEE Access (2018) Vol. 6, pp. 49192-49208
Open Access | Times Cited: 133

Showing 1-25 of 133 citing articles:

Brain-Computer Interface: Advancement and Challenges
M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5746-5746
Open Access | Times Cited: 149
A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface
Amardeep Singh, Ali Abdul Hussain, Sunil Pranit Lal, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2173-2173
Open Access | Times Cited: 121
A 2D CNN-LSTM hybrid algorithm using time series segments of EEG data for motor imagery classification
Jialing Wang, Shiwei Cheng, Jieming Tian, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104627-104627
Closed Access | Times Cited: 44
A Model Combining Multi Branch Spectral-Temporal CNN, Efficient Channel Attention, and LightGBM for MI-BCI Classification
Hai Jia, Shiqi Yu, Shunjie Yin, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1311-1320
Open Access | Times Cited: 43
Neural Decoding of Imagined Speech and Visual Imagery as Intuitive Paradigms for BCI Communication
Seo‐Hyun Lee, Minji Lee, Seong‐Whan Lee
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 12, pp. 2647-2659
Closed Access | Times Cited: 101
Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification
Yangyang Miao, Jing Jin, Ian Daly, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 699-707
Open Access | Times Cited: 99
An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System
Jian Kui Feng, Jing Jin, Ian Daly, et al.
Computational Intelligence and Neuroscience (2019) Vol. 2019, pp. 1-10
Open Access | Times Cited: 78
Classification of motor imagery EEG using deep learning increases performance in inefficient BCI users
Navneet Tibrewal, Nikki Leeuwis, Maryam Alimardani
PLoS ONE (2022) Vol. 17, Iss. 7, pp. e0268880-e0268880
Open Access | Times Cited: 56
Early-stage fusion of EEG and fNIRS improves classification of motor imagery
Yang Li, Xin Zhang, Dong Ming
Frontiers in Neuroscience (2023) Vol. 16
Open Access | Times Cited: 22
Discriminative Feature Selection-Based Motor Imagery Classification Using EEG Signal
Md. Khademul Islam Molla, Abdullah Al Shiam, Md. Rabiul Islam, et al.
IEEE Access (2020) Vol. 8, pp. 98255-98265
Open Access | Times Cited: 62
Motor-Imagery-Based Brain–Computer Interface Using Signal Derivation and Aggregation Functions
Javier Fumanal-Idocin, Yu–Kai Wang, Chin‐Teng Lin, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 8, pp. 7944-7955
Open Access | Times Cited: 49
Shallow Convolutional Network Excel for Classifying Motor Imagery EEG in BCI Applications
Daily Milanés Hermosilla, Rafael Trujillo Codorniú, Rene López Baracaldo, et al.
IEEE Access (2021) Vol. 9, pp. 98275-98286
Open Access | Times Cited: 45
Complex common spatial patterns on time-frequency decomposed EEG for brain-computer interface
Vasilisa Mishuhina, Xudong Jiang
Pattern Recognition (2021) Vol. 115, pp. 107918-107918
Closed Access | Times Cited: 44
Investigating Feature Selection Techniques to Enhance the Performance of EEG-Based Motor Imagery Tasks Classification
Md. Humaun Kabir, Shabbir Mahmood, Abdullah Al Shiam, et al.
Mathematics (2023) Vol. 11, Iss. 8, pp. 1921-1921
Open Access | Times Cited: 21
EEG Signal Complexity Measurements to Enhance BCI-Based Stroke Patients’ Rehabilitation
Noor Kamal Al-Qazzaz, Alaa A. Aldoori, Sawal Hamid Md Ali, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3889-3889
Open Access | Times Cited: 19
Multi-classification for EEG motor imagery signals using data evaluation-based auto-selected regularized FBCSP and convolutional neural network
Yang An, Hak‐Keung Lam, Sai Ho Ling
Neural Computing and Applications (2023) Vol. 35, Iss. 16, pp. 12001-12027
Open Access | Times Cited: 17
Reduce Calibration Time in Motor Imagery Using Spatially Regularized Symmetric Positives-Definite Matrices Based Classification
Amardeep Singh, Sunil Pranit Lal, Hans W. Guesgen
Sensors (2019) Vol. 19, Iss. 2, pp. 379-379
Open Access | Times Cited: 49
A BCI System Based on Motor Imagery for Assisting People with Motor Deficiencies in the Limbs
Omneya Attallah, Jaidaa Abougharbia, Mohamed Tamazin, et al.
Brain Sciences (2020) Vol. 10, Iss. 11, pp. 864-864
Open Access | Times Cited: 48
The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
Mamunur Rashid, Bifta Sama Bari, Md Jahid Hasan, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e374-e374
Open Access | Times Cited: 39
Multiscale time-frequency method for multiclass Motor Imagery Brain Computer Interface
Guoyang Liu, Tian Lan, Weidong Zhou
Computers in Biology and Medicine (2022) Vol. 143, pp. 105299-105299
Closed Access | Times Cited: 27
Joint Filter-Band-Combination and Multi-View CNN for Electroencephalogram Decoding
Zhuyao Fan, Xugang Xi, Yunyuan Gao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2101-2110
Open Access | Times Cited: 13
An improved model using convolutional sliding window-attention network for motor imagery EEG classification
Yuxuan Huang, Jianxu Zheng, Binxing Xu, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 13
Small Sample Motor Imagery Classification Using Regularized Riemannian Features
Amardeep Singh, Sunil Pranit Lal, Hans W. Guesgen
IEEE Access (2019) Vol. 7, pp. 46858-46869
Open Access | Times Cited: 42
Convolutional neural network based features for motor imagery EEG signals classification in brain–computer interface system
Samaneh Taheri, Mehdi Ezoji, Sayed Mahmoud Sakhaei
SN Applied Sciences (2020) Vol. 2, Iss. 4
Open Access | Times Cited: 34
Diverse Feature Blend Based on Filter-Bank Common Spatial Pattern and Brain Functional Connectivity for Multiple Motor Imagery Detection
Hongtao Wang, Tao Xu, Cong Tang, et al.
IEEE Access (2020) Vol. 8, pp. 155590-155601
Open Access | Times Cited: 34
Page 1 - Next Page

Scroll to top