OpenAlex Citation Counts

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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 Review of the Role of Machine Learning Techniques towards Brain–Computer Interface Applications
Saim Rasheed
Machine Learning and Knowledge Extraction (2021) Vol. 3, Iss. 4, pp. 835-862
Open Access | Times Cited: 44

Showing 26-50 of 44 citing articles:

Multimodal Social Data Analytics on the Design and Implementation of an EEG-Mechatronic System Interface
Cameron Aume, Shantanu Pal, Alireza Jolfaei, et al.
Journal of Data and Information Quality (2023) Vol. 15, Iss. 3, pp. 1-25
Closed Access | Times Cited: 1

A Self-Supervised Task-Agnostic Embedding for EEG Signals
Andi Partovi, Anthony N. Burkitt, David B. Grayden
(2023), pp. 1-4
Closed Access | Times Cited: 1

An Unsupervised Feature Extraction Method based on CLSTM-AE for Accurate P300 Classification in Brain-Computer Interface Systems
Ramin Afrah, Zahra Amini, Rahele Kafieh
Journal of Biomedical Physics and Engineering (2023)
Open Access | Times Cited: 1

Brain Computer Interface (BCI) Machine Learning Process: A Review
Shofi Afif Hanafi, Hisyam Bin Abdul Rahman, Dwika Ananda Agustina Pertiwi, et al.
Journal of Electronics Technology Exploration (2023) Vol. 1, Iss. 1, pp. 29-35
Open Access | Times Cited: 1

Improved ERD Detection of EEG Sensorimotor Rhythms Through Wavelet Transform
Alejandro Quiroga, Diana Vértiz del Valle, K. Tschopp, et al.
IFMBE proceedings (2024), pp. 3-13
Closed Access

Assessment of BCI Performance for Human-Robot Interaction
Mohamed Hanafy, H Reynolds, Jacob Jones, et al.
(2024), pp. 252-258
Closed Access

Prediction of extreme events and chaotic dynamics using WaveNet
Nikolay V. Gromov, L. A. Smirnov, Tatiana A. Levanova
Cybernetics and Physics (2024), Iss. Volume 13, 2024, Number 1, pp. 20-31
Open Access

Hidden data recovery using reservoir computing: Adaptive network model and experimental brain signals
Artem Badarin, А. В. Андреев, Vladimir Klinshov, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 10
Closed Access

Brainwave and head motion control of a smart home for disabled people
Minoru Dhananjaya Jayakody Arachchige, Marwan Nafea
Elsevier eBooks (2024), pp. 195-215
Closed Access

Quantitative Measurements of Brain Activations in Virtual Reality Environments
B Divya, Anandha Sree. R, A. Kavitha
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2022), pp. 1-5
Closed Access | Times Cited: 1

Enhancing Wireless Non-invasive Brain-Computer Interfaces with an Encoder/Decoder Machine Learning Model Pair
Ernst R. Fanfan, Joe Blankenship, Sumit Chakravarty, et al.
Lecture notes in information systems and organisation (2022), pp. 53-59
Closed Access | Times Cited: 1

A motor imagery EEG classification algorithm based on ResCNN-BiGRU
Zhangfang Hu, Ruosai Wu, Z. Rao, et al.
(2023) Vol. 6, pp. 42-42
Closed Access

Unraveling Imaginary and Real Motion: A Correlation Indices Study in BCI Data
Stavros-Theofanis Miloulis, Ioannis Zorzos, Iοannis Kakkos, et al.
(2023), pp. 11-11
Open Access

Machine learning for biomedical-focus on brain signals
Mohamad Fakhredine, Teodora Bakardjieva
Annual of Sofia University St Kliment Ohridski Faculty of Mathematics and Informatics (2023) Vol. 110, pp. 85-94
Open Access

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