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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 transformer-based deep neural network model for SSVEP classification
Jianbo Chen, Yangsong Zhang, Yudong Pan, et al.
Neural Networks (2023) Vol. 164, pp. 521-534
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

A survey of the vision transformers and their CNN-transformer based variants
Asifullah Khan, Zunaira Rauf, Anabia Sohail, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S3, pp. 2917-2970
Closed Access | Times Cited: 70
Spiking-PhysFormer: Camera-based remote photoplethysmography with parallel spike-driven transformer
Mingxuan Liu, Jiankai Tang, Yongli Chen, et al.
Neural Networks (2025) Vol. 185, pp. 107128-107128
Open Access | Times Cited: 2
Incorporating image representation and texture feature for sensor-based gymnastics activity recognition
Chao Lian, Yuliang Zhao, Tianang Sun, et al.
Knowledge-Based Systems (2025), pp. 113076-113076
Closed Access | Times Cited: 1
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: 23
Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review
Tanvir Islam, Peter Washington
Biosensors (2024) Vol. 14, Iss. 4, pp. 183-183
Open Access | Times Cited: 7
An Analysis of Deep Learning Models in SSVEP-Based BCI: A Survey
Dongcen Xu, Fengzhen Tang, Yiping Li, et al.
Brain Sciences (2023) Vol. 13, Iss. 3, pp. 483-483
Open Access | Times Cited: 20
Augmented Transformer network for MRI brain tumor segmentation
Muqing Zhang, Dongwei Liu, Qiule Sun, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 1, pp. 101917-101917
Open Access | Times Cited: 7
MASA-TCN: Multi-Anchor Space-Aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition
Yi Ding, Su Zhang, Chuangao Tang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 7, pp. 3953-3964
Open Access | Times Cited: 6
Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network
Qingguo Wei, Chang Li, Yijun Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Cross-session SSVEP brainprint recognition using attentive multi-sub-band depth identity embedding learning network
Chen Gu, Xuanyu Jin, Zhu Li, et al.
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
Backpropagation Neural Network model with statistical inference in manufacturing processes
Homero de León-Delgado, Rolando J. Praga-Alejo, David S. González-González
Journal of Industrial Information Integration (2025), pp. 100783-100783
Closed Access
MDD-SSTNet: detecting major depressive disorder by exploring spectral-spatial-temporal information on resting-state electroencephalography data based on deep neural network
Qiurong Chen, Min Xia, J Li, et al.
Cerebral Cortex (2025)
Closed Access
Enhancing detection of SSVEPs using discriminant compacted network
Dian Li, Yongzhi Huang, Ruixin Luo, et al.
Journal of Neural Engineering (2025) Vol. 22, Iss. 1, pp. 016043-016043
Closed Access
Paradigms and methods of noninvasive brain-computer interfaces in motor or communication assistance and rehabilitation: a systematic review
Jianjun Meng, Yuxuan Wei, Ximing Mai, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access
Spiking-Physformer: Camera-Based Remote Photoplethysmography with Parallel Spike-Driven Transformer
Mingxuan Liu, Jiankai Tang, Haoxiang Li, et al.
(2024)
Open Access | Times Cited: 4
Short-length SSVEP data extension by a novel generative adversarial networks based framework
Yudong Pan, Ning Li, Yangsong Zhang, et al.
Cognitive Neurodynamics (2024) Vol. 18, Iss. 5, pp. 2925-2945
Closed Access | Times Cited: 4
RMKD: Relaxed Matching Knowledge Distillation for Short-Length SSVEP-Based Brain-Computer Interfaces
Zhen Lan, Zixing Li, Chao Yan, et al.
Neural Networks (2025) Vol. 185, pp. 107133-107133
Closed Access
A portable EEG signal acquisition system and a limited-electrode channel classification network for SSVEP
Yunxiao Ma, Jinming Huang, Chuan Liu, et al.
Frontiers in Neurorobotics (2025) Vol. 18
Open Access
An optimized Impulse Factor-based VMD-EMD approach to improve SSVEP accuracy for BCI Systems
Adeel Wahab, Umar Shahbaz Khan, Tahir Nawaz, et al.
Results in Engineering (2025), pp. 104203-104203
Open Access
A survey of deep learning-based classification methods for steady-state visual evoked potentials
Yudong Pan, Jianbo Chen, Yangsong Zhang
Brain-Apparatus Communication A Journal of Bacomics (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 10
Editorial: Artificial Intelligence is Awesome, but Good Teaching Should Always Come First.
Joseph Crawford, Carmen Vallis, Jianhua Yang, et al.
Journal of University Teaching and Learning Practice (2023) Vol. 20, Iss. 7
Open Access | Times Cited: 9
GDNet-EEG: An attention-aware deep neural network based on group depth-wise convolution for SSVEP stimulation frequency recognition
Zhijiang Wan, Wangxinjun Cheng, Manyu Li, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 8
A Novel Data Augmentation Approach Using Mask Encoding for Deep Learning-Based Asynchronous SSVEP-BCI
Wenlong Ding, Aiping Liu, Ling Guan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 875-886
Open Access | Times Cited: 2
Multi-tailed vision transformer for efficient inference
Yunke Wang, Bo Du, Wenyuan Wang, et al.
Neural Networks (2024) Vol. 174, pp. 106235-106235
Open Access | Times Cited: 2
A comprehensive review of deep learning power in steady-state visual evoked potentials
Z.T. Al-Qaysi, A. S. Albahri, M. A. Ahmed, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 27, pp. 16683-16706
Closed Access | Times Cited: 2
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