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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:

Universal EEG Encoder for Learning Diverse Intelligent Tasks
Baani Leen Kaur Jolly, Palash Aggrawal, Surabhi S Nath, et al.
(2019), pp. 213-218
Open Access | Times Cited: 22

Showing 22 citing articles:

Thinker invariance: enabling deep neural networks for BCI across more people
Demetres Kostas, Frank Rudzicz
Journal of Neural Engineering (2020) Vol. 17, Iss. 5, pp. 056008-056008
Open Access | Times Cited: 62
EEG-based classification of imagined digits using a recurrent neural network
Nrushingh Charan Mahapatra, Prachet Bhuyan
Journal of Neural Engineering (2023) Vol. 20, Iss. 2, pp. 026040-026040
Closed Access | Times Cited: 10
A Deep Spatio-Temporal Model for EEG-Based Imagined Speech Recognition
Pradeep Kumar, Erik Scheme
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021), pp. 995-999
Closed Access | Times Cited: 13
EEG Signals to Digit Classification Using Deep Learning-Based One-Dimensional Convolutional Neural Network
Smita Tiwari, Shivani Goel, Arpit Bhardwaj
Arabian Journal for Science and Engineering (2022) Vol. 48, Iss. 8, pp. 9675-9691
Closed Access | Times Cited: 6
Feasibility of decoding visual information from EEG
Holly Wilson, Xi Chen, Mohammad Golbabaee, et al.
Brain-Computer Interfaces (2023) Vol. 11, Iss. 1-2, pp. 33-60
Open Access | Times Cited: 3
Visual Brain Decoding for Short Duration EEG Signals
Rahul Mishra, Krishan Sharma, Arnav Bhavsar
2021 29th European Signal Processing Conference (EUSIPCO) (2021), pp. 1226-1230
Closed Access | Times Cited: 7
Fortifying Brain Signals for Robust Interpretation
Wahengbam Kanan Kumar, Kshetrimayum Linthoinganbi Devi, Aheibam Dinamani Singh
IEEE Transactions on Network Science and Engineering (2022) Vol. 10, Iss. 2, pp. 742-753
Closed Access | Times Cited: 4
Frequency Band and PCA Feature Comparison for EEG Signal Classification
I Wayan Pio Pratama, Made Windu Antara Kesiman, I Gede Aris Gunadi
Lontar Komputer Jurnal Ilmiah Teknologi Informasi (2021) Vol. 12, Iss. 1, pp. 1-1
Open Access | Times Cited: 4
An Analysis of EEG Signal Classification for Digit Dataset
Asif Iqbal, Arpit Bhardwaj, Ashok Kumar Suhag, et al.
Research Square (Research Square) (2024)
Open Access
Enhancing Cognitive Signal Processing: Advanced CNN Architectures for EEG-Inferred Digit Recognition
X.H. Zhang
Transactions on Computer Science and Intelligent Systems Research (2024) Vol. 5, pp. 713-721
Open Access
Thinking is Like Processing a Sequence of Spatial and Temporal Words
Ignazio Gallo, Silvia Corchs
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access
Reconstruction of visual stimulus from the EEG recordings via generative adversarial network
Rahul Mishra, Krishan Sharma, Arnav Bhavsar
Medical Imaging 2022: Image Processing (2022), pp. 65-65
Closed Access | Times Cited: 2
It’s LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment
Surabhi S Nath, Vishaal Udandarao, Jainendra Shukla
(2020), pp. 238-242
Open Access | Times Cited: 2
Analysis of Multi-class Classification of EEG Signals Using Deep Learning
Dipayan Das, Tamal Chowdhury, Umapada Pal
Lecture notes in computer science (2020), pp. 203-217
Closed Access | Times Cited: 2
Monitoring Audio Training Learning Outcomes with EEG Data
Francis Liri, Abel Desoto, Wendy Catalan, et al.
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2022), pp. 0545-0551
Closed Access | Times Cited: 1
A Stochastic Coding Method of EEG Signals for Sleep Stage Classification
Guangxian Zhu, Huijia Wang, Yirong Kan, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 1
A functional BCI model by the P2731 working group: control interface
Chuck Easttom, Luigi Bianchi, Davide Valeriani, et al.
Brain-Computer Interfaces (2021) Vol. 8, Iss. 4, pp. 154-160
Closed Access | Times Cited: 1
An EEG-Based Custom Training Software Solution for Monitoring Audio Training Learning Outcomes
Francis Liri, Abel Desoto, Wendy Catalan, et al.
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (2021) Vol. 3361, pp. 0908-0913
Closed Access | Times Cited: 1
EEG classification based on visual stimuli via adversarial learning
Rahul Mishra, Arnav Bhavsar
Cognitive Neurodynamics (2023) Vol. 18, Iss. 3, pp. 1135-1151
Closed Access
Predicting Audio Training Learning Outcomes Using EEG Data and KNN Modeling
Abel Desoto, Ethan Santos, Francis Liri, et al.
2022 IEEE World AI IoT Congress (AIIoT) (2022), pp. 466-470
Closed Access
Unraveling the brain: a quantitative study of EEG classification techniques
Lênon Guimarães Silva Alípio
(2021)
Open Access
A General Multi Time Scale Spatiotemporal Compound Model for EEG Classification
Renxiang Chen, Xiaohong Liu, Wenli Dai, et al.
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE) (2021) Vol. 14 1, pp. 377-381
Closed Access
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