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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:

Temporal–spatial transformer based motor imagery classification for BCI using independent component analysis
Adel Hameed, Rahma Fourati, Boudour Ammar, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105359-105359
Closed Access | Times Cited: 22

Showing 22 citing articles:

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: 29
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 | Times Cited: 1
Multi-scale spatiotemporal attention network for neuron based motor imagery EEG classification
Venkata Chunduri, Yassine Aoudni, Samiullah Khan, et al.
Journal of Neuroscience Methods (2024) Vol. 406, pp. 110128-110128
Closed Access | Times Cited: 6
EISATC-Fusion: Inception Self-Attention Temporal Convolutional Network Fusion for Motor Imagery EEG Decoding
Guangjin Liang, Dianguo Cao, Jinqiang Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1535-1545
Open Access | Times Cited: 4
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: 4
Scalogram sets based motor imagery EEG classification using modified vision transformer: A comparative study on scalogram sets
Balendra Kumar, Pranshu C. B. S. Negi, Neeraj Sharma, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107640-107640
Closed Access
Electroencephalogram (EEG) Based Fuzzy Logic and Spiking Neural Networks (FLSNN) for Advanced Multiple Neurological Disorder Diagnosis
Shraddha Jain, Ruchi Srivastava
Brain Topography (2025) Vol. 38, Iss. 3
Closed Access
Classification Analysis of Motor Imagery EEG Signals Using Bidirectional LSTM Model
R. Helen, T. Thenmozhi, S. Mythili, et al.
Lecture notes in electrical engineering (2025), pp. 159-173
Closed Access
EEG Signal Prediction for Motor Imagery Classification in Brain–Computer Interfaces
Óscar Wladimir Gómez Morales, Diego Collazos-Huertas, Andrés Marino Álvarez-Meza, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2259-2259
Open Access
AMFTCNet: A multi-level attention-based multi-scale fusion temporal convolutional network for decoding MI-EEG signals
Qiang Huang, Yuan Yang, Jun Li, et al.
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107916-107916
Closed Access
Unveiling machine learning strategies and considerations in intrusion detection systems: a comprehensive survey
Ali Hussein Ali, Maha Charfeddine, Boudour Ammar, et al.
Frontiers in Computer Science (2024) Vol. 6
Closed Access | Times Cited: 3
A session-incremental broad learning system for motor imagery EEG classification
Yufei Yang, Mingai Li, Hanlin Liu, et al.
Biomedical Signal Processing and Control (2024) Vol. 97, pp. 106717-106717
Closed Access | Times Cited: 2
Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification
Paul Bustios, João Luís Garcia Rosa
Applied Intelligence (2023) Vol. 53, Iss. 24, pp. 30133-30147
Closed Access | Times Cited: 5
P300 intention recognition based on phase lag index (PLI)-rich-club brain functional network
Zhongmin Wang, Leihua Xiang, Rong Zhang
Review of Scientific Instruments (2024) Vol. 95, Iss. 4
Open 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
Enhanced Motor Imagery Classification through Channel Selection and Machine Learning Algorithms for BCI Applications
Syed Rafiammal S., Ujjay Singh H.
Journal of Soft Computing Paradigm (2024) Vol. 6, Iss. 3, pp. 227-238
Open Access | Times Cited: 1
MCNN-CMCA: A Multiscale Convolutional Neural Networks with Cross-Modal Channel Attention for Physiological Signal-Based Mental State Recognition
Yayun Wei, Lei Cao, Yilin Dong, et al.
Digital Signal Processing (2024) Vol. 156, pp. 104856-104856
Closed Access | Times Cited: 1
Mixing hand-crafted and learned features for EEG-based motor imagery classification
Paul Augusto Bustios Belizario
(2024)
Open Access | Times Cited: 1
A Multi-view Spatio-Temporal EEG Feature Learning for Cross-Subject Motor Imagery Classification
Adel Hameed, Rahma Fourati, Boudour Ammar, et al.
Communications in computer and information science (2024), pp. 393-405
Closed 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
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
Evolving Trends and Future Prospects of Transformer Models in EEG-Based Motor-Imagery BCI Systems
Aigerim Keutayeva, Amin Zollanvari, Berdakh Abibullaev
(2024), pp. 233-256
Closed Access
A Dual Adaptation Approach for EEG-Based Biometric Authentication Using the Ensemble of Riemannian Geometry and NSGA-II
Aashish Khilnani, Jyoti Singh Kirar, Ganga Ram Gautam
Lecture notes in computer science (2024), pp. 91-109
Closed Access
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