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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:

EEG temporal–spatial transformer for person identification
Yang Du, Yongling Xu, Xiaoan Wang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 35

Showing 1-25 of 35 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
EEGformer: A transformer–based brain activity classification method using EEG signal
Zhijiang Wan, Manyu Li, Shichang Liu, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 24
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
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
Understanding the brain with attention: A survey of transformers in brain sciences
Cheng Chen, Huilin Wang, Yunqing Chen, et al.
Brain‐X (2023) Vol. 1, Iss. 3
Open Access | Times Cited: 15
AMDET: Attention Based Multiple Dimensions EEG Transformer for Emotion Recognition
Yongling Xu, Yang Du, Ling Li, et al.
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 3, pp. 1067-1077
Open Access | Times Cited: 13
Exploring the Potential of Attention Mechanism-Based Deep Learning for Robust Subject-Independent Motor-Imagery Based BCIs
Aigerim Keutayeva, Berdakh Abibullaev
IEEE Access (2023) Vol. 11, pp. 107562-107580
Open Access | Times Cited: 12
IEEG-HCT: A Hierarchical CNN-Transformer Combined Network for Intracranial EEG Signal Identification
Ming Yang, Kun Wang, Chang Li, et al.
IEEE Sensors Letters (2024) Vol. 8, Iss. 2, pp. 1-4
Closed 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
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: 4
Beyond Averaging: A Transformer Approach to Decoding Event Related Brain Potentials
Philipp Zelger, Marcel Arnold, Sonja Rossi, et al.
NeuroImage (2025), pp. 121049-121049
Open Access
Augmenting Brain-Computer Interfaces with ART: An Artifact Removal Transformer for Reconstructing Multichannel EEG Signals
Chun‐Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, et al.
NeuroImage (2025), pp. 121123-121123
Open Access
Deep temporal networks for EEG-based motor imagery recognition
Neha Sharma, Avinash Upadhyay, Manoj Kumar Sharma, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
AITST—Affective EEG-based person identification via interrelated temporal–spatial transformer
Honghua Cai, Jiarui Jin, Haoyu Wang, et al.
Pattern Recognition Letters (2023) Vol. 174, pp. 32-38
Closed Access | Times Cited: 9
A Multi Representation Deep Learning Approach for Epileptic Seizure Detection
Arya Tandy Hermawan, Ilham Ari Elbaith Zaeni, Aji Prasetya Wibawa, et al.
Journal of Robotics and Control (JRC) (2024) Vol. 5, Iss. 1, pp. 187-204
Open Access | Times Cited: 3
Neuro-GPT: Towards A Foundation Model For EEG
Wenhui Cui, Woojae Jeong, Philipp Thölke, et al.
(2024), pp. 1-5
Open Access | Times Cited: 3
Local and global convolutional transformer-based motor imagery EEG classification
Jiayang Zhang, Kang Li, Banghua Yang, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 8
An Overview of Brain Fingerprint Identification Based on Various Neuroimaging Technologies
Shihao Zhang, Wenting Yang, Haonan Mou, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 16, Iss. 1, pp. 151-164
Closed Access | Times Cited: 7
Decoding the User’s Movements Preparation From EEG Signals Using Vision Transformer Architecture
Maged S. Al-Quraishi, Irraivan Elamvazuthi, Tong Boon Tang, et al.
IEEE Access (2022) Vol. 10, pp. 109446-109459
Open Access | Times Cited: 11
Feasibility of decoding covert speech in ECoG with a Transformer trained on overt speech
Shuji Komeiji, Takumi Mitsuhashi, Yasushi Iimura, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Inducing Inductive Bias in Vision Transformer for EEG Classification
Rabindra Khadka, Pedro G. Lind, Gustavo Borges Moreno e Mello, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 2096-2100
Closed Access | Times Cited: 1
Feasibility of decoding covert speech in ECoG with a Transformer trained on overt speech
Shuji Komeiji, Takumi Mitsuhashi, Yasushi Iimura, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Attention-Based CNN-BiLSTM for Sleep State Classification of Spatiotemporal Wide-Field Calcium Imaging Data
Xiaohui Zhang, Eric C. Landsness, Hanyang Miao, et al.
Journal of Neuroscience Methods (2024) Vol. 411, pp. 110250-110250
Open Access | Times Cited: 1
Artificial intelligence on biomedical signals: technologies, applications, and future directions
Yoon Jae Lee, Cheoljeong Park, Hodam Kim, et al.
Med-X (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 1
Transformer Based Cross-Subject Mental Workload Classification Using FNIRS for Real-World Application
Yitao Jing, Weiqun Wang, Jiaxing Wang, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-5
Closed Access | Times Cited: 2
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