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:

Neuro-evolutionary approach for optimal selection of EEG channels in motor imagery based BCI application
Oluwagbenga Paul Idowu, Oluwaremilekun Adelopo, Ademola E. Ilesanmi, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102621-102621
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

EEG Channel Selection Techniques in Motor Imagery Applications: A Review and New Perspectives
Abdullah, Ibrahima Faye, Md Rafiqul Islam
Bioengineering (2022) Vol. 9, Iss. 12, pp. 726-726
Open Access | Times Cited: 28

Parallel genetic algorithm based common spatial patterns selection on time–frequency decomposed EEG signals for motor imagery brain-computer interface
Tian-jian Luo
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104397-104397
Closed Access | Times Cited: 24

Optimizing Bioimaging: Quantum Computing-Inspired Bald Eagle Search Optimization for Motor Imaging EEG Feature Selection
Chandan Choubey, M. Dhanalakshmi, S. Karunakaran, et al.
Clinical EEG and Neuroscience (2025)
Closed Access

An Approach for EEG Denoising Based on Wasserstein Generative Adversarial Network
Yuanzhe Dong, Xi Tang, Qingge Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3524-3534
Open Access | Times Cited: 10

EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm
Zaid Abdi Alkareem Alyasseri, Osama Ahmad Alomari, João Paulo Papa, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2092-2092
Open Access | Times Cited: 15

Classification of lower limb motor imagery based on iterative EEG source localization and feature fusion
Xiaobo Peng, Junhong Liu, Ying Huang, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 19, pp. 13711-13724
Open Access | Times Cited: 10

EEG Channel Selection Methods for Motor Imagery in Brain Computer Interface
Wei Mu, Tao Fang, Pengchao Wang, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 9

Adaptive Time–Frequency Segment Optimization for Motor Imagery Classification
Junjie Huang, Guorui Li, Qian Zhang, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1678-1678
Open Access | Times Cited: 1

Predicting Motor Imagery BCI Performance Based on EEG Microstate Analysis
Yujie Cui, Songyun Xie, Yingxin Fu, et al.
Brain Sciences (2023) Vol. 13, Iss. 9, pp. 1288-1288
Open Access | Times Cited: 4

Generalized Optimal EEG Channels Selection for Motor Imagery Brain–Computer Interface
Hsiang-Chen Lee, Ching‐Hung Lee
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 25356-25366
Closed Access | Times Cited: 4

Character Encoding-Based Motor Imagery EEG Classification Using CNN
Yuxuan Hu, Jun Yan, Fang Fang, et al.
IEEE Sensors Letters (2023) Vol. 7, Iss. 10, pp. 1-4
Closed Access | Times Cited: 4

Combination of Reinforcement and Deep Learning for EEG Channel Optimization on Brain-Machine Interface Systems
Goragod Pongthanisorn, Aya Shirai, Satoki Sugiyama, et al.
(2023), pp. 97-102
Closed Access | Times Cited: 3

EEG-Based Emotion Classification: A Biologically Informed Channel Selection Approach

International journal of intelligent engineering and systems (2023) Vol. 17, Iss. 1, pp. 856-868
Open Access | Times Cited: 2

Artificial Intelligence in Brain Computer Interface
Abdülhamit Subaşı
2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (2022), pp. 1-7
Closed Access | Times Cited: 3

Exploring the Visual Guidance of Motor Imagery in Sustainable Brain–Computer Interfaces
Cheng Yang, Lei Kong, Zhichao Zhang, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 13844-13844
Open Access | Times Cited: 3

Effects of Different Viewing Angles and Visual Stimuli on the Performance of MI Brain-Computer Interfaces
Yuxin Bai, Jiang Shao, Ying Zhang, et al.
International Journal of Human-Computer Interaction (2022) Vol. 40, Iss. 5, pp. 1267-1281
Closed Access | Times Cited: 3

A combined EEG motor and speech imagery paradigm with automated successive halving for customizable command selection
Natasha Padfield, Tracey Camilleri, Simon G. Fabri, et al.
Brain-Computer Interfaces (2024) Vol. 11, Iss. 3, pp. 125-142
Open Access

A Task-driven Adversarial Channel Selection Method for Binary Classification Based on Magnetocardiography
Chong Ma, Jiaojiao Pang, Ruizhe Wang, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 72, Iss. 3, pp. 1045-1056
Closed Access

Deep Q-Learning for Channel Optimization in MRCP BMI Systems: A Teleoperated Robot Implementation
Goragod Pongthanisorn, Genci Capi
IEEE Access (2024) Vol. 12, pp. 73769-73778
Open Access

Electrode subset selection to lessen the complexity of brain activity measurement using EEG for depression detection
Shubham Choudhary, Manish Kumar Bajpai, Kusum Kumari Bharti
Transactions of the Institute of Measurement and Control (2024)
Closed Access

Weight-freezing: A motor imagery inspired regularization approach for EEG classification
Zhengqing Miao, Meirong Zhao
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107015-107015
Closed Access

Classification of Motor Imagery EEG with Ensemble RNCA model
T. Thenmozhi, R. Helen, S. Mythili
Behavioural Brain Research (2024), pp. 115345-115345
Closed Access

Profiling a Raspberry Pi-Based Motor Imagery Classification to Facilitate At-Home BCI for Children with Disabilities
Oluwagbenga Paul Idowu, Eli Kinney‐Lang, Adam Gulamhusein, et al.
(2024), pp. 1-7
Closed Access

An Approach for EEG Data Augmentation Based on Deep Convolutional Generative Adversarial Network
Yuanzhe Dong, Xi Tang, F.L. Tan, et al.
2018 IEEE International Conference on Cyborg and Bionic Systems (CBS) (2023), pp. 347-351
Closed Access | Times Cited: 1

Page 1 - Next Page

Scroll to top