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:

Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review
Mamunur Rashid, Norizam Sulaiman, Anwar P. P. Abdul Majeed, et al.
Frontiers in Neurorobotics (2020) Vol. 14
Open Access | Times Cited: 333

Showing 1-25 of 333 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: 311
EEG-Based BCI Emotion Recognition: A Survey
Edgar P. Torres, Edgar A. Torres, Myriam Hernández-Álvarez, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5083-5083
Open Access | Times Cited: 219
Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review
Essam H. Houssein, Asmaa Hammad, Abdelmgeid A. Ali
Neural Computing and Applications (2022) Vol. 34, Iss. 15, pp. 12527-12557
Open Access | Times Cited: 211
A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems
Igor Stančin, Mario Cifrek, Alan Jović
Sensors (2021) Vol. 21, Iss. 11, pp. 3786-3786
Open Access | Times Cited: 181
Interface, interaction, and intelligence in generalized brain–computer interfaces
Xiaorong Gao, Yijun Wang, Xiaogang Chen, et al.
Trends in Cognitive Sciences (2021) Vol. 25, Iss. 8, pp. 671-684
Closed Access | Times Cited: 169
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: 157
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: 146
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: 117
Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface
Arunabha M. Roy
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105347-105347
Closed Access | Times Cited: 116
Review of challenges associated with the EEG artifact removal methods
Wajid Mumtaz, Suleman Rasheed, Alina Irfan
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102741-102741
Closed Access | Times Cited: 114
Neural Correlate-Based E-Learning Validation and Classification Using Convolutional and Long Short-Term Memory Networks
Dharmendra Pathak, Ramgopal Kashyap
Traitement du signal (2023) Vol. 40, Iss. 4, pp. 1457-1467
Open Access | Times Cited: 89
Soft Fiber Electronics Based on Semiconducting Polymer
Fengqiang Sun, Hao Jiang, Haoyu Wang, et al.
Chemical Reviews (2023) Vol. 123, Iss. 8, pp. 4693-4763
Closed Access | Times Cited: 79
Brain–computer interface: trend, challenges, and threats
Baraka Maiseli, Abdi T. Abdalla, Libe Valentine Massawe, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 51
Trends in EEG signal feature extraction applications
Anupreet Kaur Singh, Sridhar Krishnan
Frontiers in Artificial Intelligence (2023) Vol. 5
Open Access | Times Cited: 44
Physiological and chaos effect on dynamics of neurological disorder with memory effect of fractional operator: A mathematical study
Anum Zehra, Parvaiz Ahmad Naik, Ali Hasan, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 250, pp. 108190-108190
Closed Access | Times Cited: 14
Progress in Brain Computer Interface: Challenges and Opportunities
Simanto Saha, Khondaker A. Mamun, Khawza I. Ahmed, et al.
Frontiers in Systems Neuroscience (2021) Vol. 15
Open Access | Times Cited: 91
Motor-Imagery EEG-Based BCIs in Wheelchair Movement and Control: A Systematic Literature Review
Arrigo Palumbo, Vera Gramigna, Barbara Calabrese, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 6285-6285
Open Access | Times Cited: 79
Systemic Review on Transcranial Electrical Stimulation Parameters and EEG/fNIRS Features for Brain Diseases
Dalin Yang, Yong‐Il Shin, Keum‐Shik Hong
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 62
A Survey on Neuromarketing Using EEG Signals
Vaishali Khurana, Monika Gahalawat, Pradeep Kumar, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 13, Iss. 4, pp. 732-749
Closed Access | Times Cited: 60
How to successfully classify EEG in motor imagery BCI: a metrological analysis of the state of the art
Pasquale Arpaïa, Antonio Espósito, Angela Natalizio, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 3, pp. 031002-031002
Closed Access | Times Cited: 60
A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System
Fahmid Al Farid, Noramiza Hashim, Junaidi Abdullah, et al.
Journal of Imaging (2022) Vol. 8, Iss. 6, pp. 153-153
Open Access | Times Cited: 58
FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding
Ke Liu, Mingzhao Yang, Zhuliang Yu, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 70, Iss. 2, pp. 436-445
Closed Access | Times Cited: 47
Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review
Resmi Cherian, E. Grace Mary Kanaga
Journal of Neuroscience Methods (2022) Vol. 369, pp. 109483-109483
Closed Access | Times Cited: 38
An overview of machine learning methods in enabling IoMT-based epileptic seizure detection
Alaa Lateef Noor Al-hajjar, Ali Kadhum M. Al‐Qurabat
The Journal of Supercomputing (2023) Vol. 79, Iss. 14, pp. 16017-16064
Open Access | Times Cited: 32
Electroencephalogram based brain-computer interface: Applications, challenges, and opportunities
Hitesh Yadav, Surita Maini
Multimedia Tools and Applications (2023) Vol. 82, Iss. 30, pp. 47003-47047
Open Access | Times Cited: 26
Page 1 - Next Page

Scroll to top