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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:

A shallow mirror transformer for subject-independent motor imagery BCI
Jing Luo, Yaojie Wang, Shuxiang Xia, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107254-107254
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Classification of EEG Signal Using Deep Learning Architectures Based Motor-Imagery for an Upper-Limb Rehabilitation Exoskeleton
Maryam Khoshkhooy Titkanlou, Duc Thien Pham, Roman Mouček
SN Computer Science (2025) Vol. 6, Iss. 3
Open Access | Times Cited: 1
Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications
Berdakh Abibullaev, Aigerim Keutayeva, Amin Zollanvari
IEEE Access (2023) Vol. 11, pp. 127271-127301
Open Access | Times Cited: 26
Multiclass classification of motor imagery tasks based on multi-branch convolutional neural network and temporal convolutional network model
Shiqi Yu, Zedong Wang, Fei Wang, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 9
High-Yield Model Compression Paradigms for Low Footprint Signal Classification Supplementing Resource Constrained Embedded Environments
Jay Kaoshik, Pranav Vyas, V. Vijayarajan, et al.
Communications in computer and information science (2025), pp. 246-256
Closed Access
Decoding of multi-modal signals for motor imagery based on window positioning
YingHui Meng, Ya-ru SU, Duan Li, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 3
Closed Access
STIT-Net- A Wavelet based Convolutional Transformer Model for Motor Imagery EEG Signal Classification in the Sensorimotor Bands
S Chrisilla, R. Shantha Selva Kumari
Clinical EEG and Neuroscience (2025)
Closed Access
Transformers in EEG Analysis: A Review of Architectures and Applications in Motor Imagery, Seizure, and Emotion Classification
Elnaz Vafaei, Mohammad Hosseini
Sensors (2025) Vol. 25, Iss. 5, pp. 1293-1293
Open Access
Central nervous system and immune cells interactions in cancer: unveiling new therapeutic avenues
Ji Wen, Yue Li, Wanli Deng, et al.
Frontiers in Immunology (2025) Vol. 16
Open Access
Efficient motor imagery electroencephalogram classification via cross tensor coupling decomposition based on augmented covariance networks.
Hua Su, Jieren Xie, Zengyao Yang, et al.
Neurocomputing (2025), pp. 129911-129911
Closed Access
A spatial-spectral and temporal dual prototype network for motor imagery brain-computer interface
Can Han, C. L. Liu, Jun Wang, et al.
Knowledge-Based Systems (2025), pp. 113315-113315
Open Access
Event-related desynchronization detection and electroencephalography motor imagery classification using vision transformer
Vaishali Shirodkar, Damodar Reddy Edla, Annu Kumari, et al.
Intelligent Data Analysis (2025)
Closed Access
BrainGridNet: A two-branch depthwise CNN for decoding EEG-based multi-class motor imagery
Xingfu Wang, Yu Wang, Wenxia Qi, et al.
Neural Networks (2023) Vol. 170, pp. 312-324
Closed Access | Times Cited: 11
A Survey of EEG and Machine Learning-Based Methods for Neural Rehabilitation
Jaiteg Singh, Farman Ali, Rupali Gill, et al.
IEEE Access (2023) Vol. 11, pp. 114155-114171
Open Access | Times Cited: 10
Data Constraints and Performance Optimization for Transformer-Based Models in EEG-Based Brain-Computer Interfaces: A Survey
Aigerim Keutayeva, Berdakh Abibullaev
IEEE Access (2024) Vol. 12, pp. 62628-62647
Open Access | Times Cited: 3
Transformers in biosignal analysis: A review
Ayman Anwar, Yassin Khalifa, James L. Coyle, et al.
Information Fusion (2024) Vol. 114, pp. 102697-102697
Closed Access | Times Cited: 2
D-FaST: Cognitive Signal Decoding With Disentangled Frequency–Spatial–Temporal Attention
Weiguo Chen, Changjian Wang, Kele Xu, et al.
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 16, Iss. 4, pp. 1476-1493
Open Access | Times Cited: 1
A novel feature extraction method PSS-CSP for binary motor imagery – based brain-computer interfaces
Ao Chen, Dayang Sun, Xin Gao, et al.
Computers in Biology and Medicine (2024) Vol. 177, pp. 108619-108619
Closed Access | Times Cited: 1
Investigation of Attention Based Convolutional Neural Network for Motor Imagery Classification
Mouad Riyad, Abdellah Adib
(2024), pp. 1-6
Closed Access | Times Cited: 1
Constructing lightweight and efficient spiking neural networks for EEG-based motor imagery classification
Xiaojian Liao, Guang Li, You Wang, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107000-107000
Closed Access | Times Cited: 1
A feature enhanced EEG compression model using asymmetric encoding–decoding network *
Xiangcun Wang, Jiacai Zhang, Xia Wu
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036013-036013
Closed Access
The SSHVEP Paradigm-Based Brain Controlled Method for Grasping Robot Using MVMD Combined CNN Model
Rui Li, D.-J. Bai, Zhijun Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 2564-2578
Open Access
Temporal Focal Modulation Networks for EEG-Based Cross-Subject Motor Imagery Classification
Adel Hameed, Rahma Fourati, Boudour Ammar, et al.
Communications in computer and information science (2024), pp. 445-457
Closed Access
Masked EEG Modeling for Driving Intention Prediction
Jinzhao Zhou, Justin Sia, Yiqun Duan, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 207, pp. 1-9
Closed Access
BLSAN: A Brain Lateralization-guided Subject Adaptive Network for Motor Imagery Classification
Fulin Wei, Xueyuan Xu, Qing Li, et al.
IEEE Signal Processing Letters (2024) Vol. 31, pp. 2630-2634
Closed Access
E-SAT: An extreme learning machine based self attention approach for decoding motor imagery EEG in subject-specific tasks
Muhammad Ahmed Abbasi, Hafza Faiza Abbasi, Xiaojun Yu, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 5, pp. 056033-056033
Closed Access
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