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:

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

Showing 1-25 of 34 citing articles:

Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review
Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14681-14722
Closed Access | Times Cited: 321
Deep learning for motor imagery EEG-based classification: A review
Ali Al-Saegh, Shefa A. Dawwd, Jassim M. Abdul-Jabbar
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102172-102172
Closed Access | Times Cited: 311
Self-Supervised Learning for Electroencephalography
Mohammad Hossein Rafiei, Lynne V. Gauthier, Hojjat Adeli, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 2, pp. 1457-1471
Closed Access | Times Cited: 163
Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework
Muhammad Tariq Sadiq, Muhammad Zulkifal Aziz, Ahmad Almogren, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105242-105242
Closed Access | Times Cited: 73
A blockchain security module for brain-computer interface (BCI) with Multimedia Life Cycle Framework (MLCF)
Abdullah Ayub Khan, Asif Ali Laghari, Aftab Ahmed Shaikh, et al.
Neuroscience Informatics (2021) Vol. 2, Iss. 1, pp. 100030-100030
Open Access | Times Cited: 48
Enhanced grasshopper optimization algorithm with extreme learning machines for motor‐imagery classification
Kavitha Rani Balmuri, Srinivasa Rao Madala, B D Parameshachari, et al.
Asian Journal of Control (2022) Vol. 25, Iss. 4, pp. 3015-3028
Closed Access | Times Cited: 33
Recent Trends in EEG-Based Motor Imagery Signal Analysis and Recognition: A Comprehensive Review
Neha Sharma, Manoj Sharma, Amit Singhal, et al.
IEEE Access (2023) Vol. 11, pp. 80518-80542
Open Access | Times Cited: 14
Deep learning in motor imagery EEG signal decoding: A Systematic Review
Aurora Saibene, Hafez Ghaemi, Eda Dağdevır
Neurocomputing (2024) Vol. 610, pp. 128577-128577
Closed Access | Times Cited: 4
Optimal Selection of Frequency Band and Wavelet Scattering for Feature Extraction in Multi-class EEG Classification
Vaishali Shirodkar, Damodar Reddy Edla, Annu Kumari
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
Feature fusion using deep learning for smartphone based human activity recognition
Dipanwita Thakur, Suparna Biswas
International Journal of Information Technology (2021) Vol. 13, Iss. 4, pp. 1615-1624
Open Access | Times Cited: 25
Deep temporal networks for EEG-based motor imagery recognition
Neha Sharma, Avinash Upadhyay, Manoj Kumar Sharma, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Fused Group Lasso: A New EEG Classification Model With Spatial Smooth Constraint for Motor Imagery-Based Brain–Computer Interface
Shaorong Zhang, Zhibin Zhu, Benxin Zhang, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 2, pp. 1764-1778
Closed Access | Times Cited: 22
CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification
Diego Collazos-Huertas, Andrés Marino Álvarez-Meza, Carlos Medina, et al.
Brain Informatics (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 21
Cold pressor pain assessment based on EEG power spectrum
Li Wang, Yan Xiao, Richard D. Urman, et al.
SN Applied Sciences (2020) Vol. 2, Iss. 12
Open Access | Times Cited: 18
Multi-level brain-guided fusion to reinforce spiking neural network in image classification
Zahra Imani, Mehdi Ezoji
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Improved LSTM-Squeeze Net Architecture for brain activity detection using EEG with improved feature set
Sana Sharif, Rajasekhar Butta, D. Venkata Rao, et al.
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107222-107222
Closed Access | Times Cited: 1
Speed Classification of Upper Limb Movements Through EEG Signal for BCI Application
Sepideh Zolfaghari, Tohid Yousefi Rezaii, Saeed Meshgini, et al.
IEEE Access (2021) Vol. 9, pp. 114564-114573
Open Access | Times Cited: 8
Cerebral palsy-affected individuals' brain-computer interface for wheelchair movement in an indoor environment using mental tasks
Jayabrabu Ramakrishnan
Egyptian Informatics Journal (2024) Vol. 26, pp. 100470-100470
Open Access
TASMANIAN DEVIL HUNTING OPTIMIZATION ENABLED DEEP MAXOUT NETWORK FOR BRAIN ACTIVITY DETECTION BASED ON MOTOR IMAGERY EEG SIGNALS
Yogita Hande, Rupali Vairagade, Mahesh Bhandari, et al.
Biomedical Engineering Applications Basis and Communications (2024) Vol. 36, Iss. 06
Closed 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
Exoskeleton Robot Based on Brain-Computer Interface
Hongchang Cao
Applied and Computational Engineering (2024) Vol. 111, Iss. 1, pp. 66-71
Open Access
A Framework for Motion Recognition Using Electroencephalogram-Based Brain–Computer Interface and Pretrained Convolutional Neural Networks Enhanced by High-Resolution Superlet Transform
Neha Sharma, Manoj Sharma, Amit Singhal
Advances in intelligent systems and computing (2024), pp. 397-408
Closed Access
Short Review on Brain Activity Recognition via EEG Signal
Amruta Jagadish Takawale, A. N. Paithane
Proceedings in adaptation, learning and optimization (2024), pp. 213-224
Closed Access
Brain-guided manifold transferring to improve the performance of spiking neural networks in image classification
Zahra Imani, Mehdi Ezoji, Timothée Masquelier
Journal of Computational Neuroscience (2023) Vol. 51, Iss. 4, pp. 475-490
Closed Access | Times Cited: 1
Optimized Neural Network with Refined Features for Categorization of Motor Imaginary Signals
Megha M. Wankhade, S. S. Chorage
International Journal of Image and Graphics (2022) Vol. 23, Iss. 06
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top