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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:

Single-Trial EEG Classification with EEGNet and Neural Structured Learning for Improving BCI Performance
Haider Raza, Anirban Chowdhury, Saugat Bhattacharyya, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-8
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI
Pramod Gaur, Harsh Gupta, Anirban Chowdhury, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-9
Open Access | Times Cited: 190
Exploring Convolutional Neural Network Architectures for EEG Feature Extraction
Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 877-877
Open Access | Times Cited: 25
Hybrid Deep Learning (hDL)-Based Brain-Computer Interface (BCI) Systems: A Systematic Review
Nibras Abo Alzahab, Luca Apollonio, Angelo Di Iorio, et al.
Brain Sciences (2021) Vol. 11, Iss. 1, pp. 75-75
Open Access | Times Cited: 83
Deep Convolutional Neural Network-Based Visual Stimuli Classification Using Electroencephalography Signals of Healthy and Alzheimer’s Disease Subjects
Dovilė Komolovaitė, Rytis Maskeliūnas, Robertas Damaševičius
Life (2022) Vol. 12, Iss. 3, pp. 374-374
Open Access | Times Cited: 33
A Cross-Space CNN With Customized Characteristics for Motor Imagery EEG Classification
Ying Hu, Yan Liu, Siqi Zhang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1554-1565
Open Access | Times Cited: 21
TBEEG: A Two-Branch Manifold Domain Enhanced Transformer Algorithm for Learning EEG Decoding
Yanjun Qin, Wenqi Zhang, Xiaoming Tao
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1445-1455
Open Access | Times Cited: 4
MSBiLSTM-Attention: EEG Emotion Recognition Model Based on Spatiotemporal Feature Fusion
Yahong Ma, Zhentao Huang, Yuyao Yang, et al.
Biomimetics (2025) Vol. 10, Iss. 3, pp. 178-178
Open Access
Classification of the four‐class motor imagery signals using continuous wavelet transform filter bank‐based two‐dimensional images
Rupesh Mahamune, Shahedul Haque Laskar
International Journal of Imaging Systems and Technology (2021) Vol. 31, Iss. 4, pp. 2237-2248
Closed Access | Times Cited: 22
EEG Emotion Recognition by Fusion of Multi-Scale Features
Xiuli Du, Yifei Meng, Shaoming Qiu, et al.
Brain Sciences (2023) Vol. 13, Iss. 9, pp. 1293-1293
Open Access | Times Cited: 8
Advancements in Temporal Fusion: A New Horizon for EEG-Based Motor Imagery Classification
Saran Kundu, Aman Singh Tomar, Anirban Chowdhury, et al.
IEEE Transactions on Medical Robotics and Bionics (2024) Vol. 6, Iss. 2, pp. 567-576
Open Access | Times Cited: 2
A novel EEG channel selection and classification methodology for multi‐class motor imagery‐based BCI system design
Komal Jindal, Rahul Upadhyay, Hari Shankar Singh
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 4, pp. 1318-1337
Closed Access | Times Cited: 10
Multivariate variational mode decomposition & phase space reconstruction based motor imagery EEG classification
Tanvi Dovedi, Rahul Upadhyay, Vinay Kumar
Computers & Electrical Engineering (2023) Vol. 108, pp. 108737-108737
Closed Access | Times Cited: 4
A hybrid ensemble voting-based residual attention network for motor imagery EEG Classification
Komal Jindal, Rahul Upadhyay, Hari Singh
Analog Integrated Circuits and Signal Processing (2024) Vol. 119, Iss. 1, pp. 165-184
Open Access | Times Cited: 1
Improved data quality and statistical power of trial-level event-related potentials with Bayesian random-shift Gaussian processes
Dustin Pluta, Beniamino Hadj-Amar, Meng Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Motor Imagery Signal Classification Using Adversarial Learning: A Systematic Literature Review
Shubhra Mishra, Osama Mahmudi, Amin Jalali
IEEE Access (2024) Vol. 12, pp. 91053-91074
Open Access | Times Cited: 1
Performance study of Neural Structured Learning using Riemannian Features for BCI Classification
Vinay K. Gupta, Jayasandhya Meenakshinathan, Tharun Kumar Reddy, et al.
(2022), pp. 297-301
Closed Access | Times Cited: 7
Graph Based Semantic Ensemble of Riemannian Neural Structured Learning for BCI-EEG Signal Classification
Vinay Gupta, Laxmidhar Behera, Tushar Sandhan
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)
Closed Access | Times Cited: 3
Motor Imaging EEG Signal Recognition of ResNet18 Network Based on Deformable Convolution
Xiuli Du, Kai Li, Yana Lv, et al.
Electronics (2022) Vol. 11, Iss. 22, pp. 3674-3674
Open Access | Times Cited: 5
VR Vertigo Level Classification Using a Multi-Dimensional Taylor Network Approach
Ziyan Wang, Ying Yan, Jun Cai, et al.
IEEE Access (2023) Vol. 11, pp. 108944-108955
Open Access | Times Cited: 2
Acceleration of EEG Signal Processing on FPGA: A Step Towards Embedded BCI
Saran Kundu, Parikshit Saha, Aman Singh Tomar, et al.
(2024), pp. 1-6
Closed Access
A hybrid local-global neural network for visual classification using raw EEG signals
Shuning Xue, Bu Jin, Jie Jiang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Identifying Good Donor Datasets for Transfer Learning Scenarios in Motor Imagery BCI
Pierre Guetschel, Michael Tangermann
Communications in computer and information science (2024), pp. 209-235
Closed Access
Deep learning methods for analysis of neural signals: From conventional neural network to graph neural network
Chen Liu, Haider Raza, Saugat Bhattacharyya
Elsevier eBooks (2023), pp. 205-242
Closed Access | Times Cited: 1
MEGNet: A MEG-Based Deep Learning Model for Cognitive and Motor Imagery Classification
Minerva Sarma, Charles S. Bond, Sanjeev Nara, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 2571-2578
Open Access | Times Cited: 1
Window-Delay Analysis on EEGNet
Gabriel Henrique de Souza, Davi Esteves Dos Santos, Heder S. Bernardino, et al.
(2023), pp. 166-170
Closed Access | Times Cited: 1
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