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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:

GANSER: A Self-Supervised Data Augmentation Framework for EEG-Based Emotion Recognition
Zhi Zhang, Yan Liu, Sheng-hua Zhong
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 2048-2063
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Emotion recognition in EEG signals using deep learning methods: A review
Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107450-107450
Open Access | Times Cited: 74
EEG-based emotion recognition based on 4D feature representations and multiple attention mechanisms
Yong Zhang, Jingzi Qu, Qi Zhang, et al.
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107432-107432
Closed Access | Times Cited: 1
Methods and Approaches for User Engagement and User Experience Analysis Based on Electroencephalography Recordings: A Systematic Review
Christos Bellos, Kostas Stefanou, Alexandros T. Tzallas, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 251-251
Open Access | Times Cited: 1
LEDPatNet19: Automated Emotion Recognition Model based on Nonlinear LED Pattern Feature Extraction Function using EEG Signals
Türker Tuncer, Şengül Doğan, Abdülhamit Subaşı
Cognitive Neurodynamics (2021) Vol. 16, Iss. 4, pp. 779-790
Open Access | Times Cited: 57
MTLFuseNet: A novel emotion recognition model based on deep latent feature fusion of EEG signals and multi-task learning
Rui Li, Chao Ren, Yiqing Ge, et al.
Knowledge-Based Systems (2023) Vol. 276, pp. 110756-110756
Closed Access | Times Cited: 31
Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation
Chenxi Tian, Yuliang Ma, Jared Cammon, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2018-2027
Open Access | Times Cited: 23
TorchEEGEMO: A deep learning toolbox towards EEG-based emotion recognition
Zhi Zhang, Sheng-hua Zhong, Yan Liu
Expert Systems with Applications (2024) Vol. 249, pp. 123550-123550
Closed Access | Times Cited: 8
Self-supervised group meiosis contrastive learning for EEG-based emotion recognition
Haoning Kan, Jiale Yu, Jiajin Huang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 22, pp. 27207-27225
Closed Access | Times Cited: 17
A Large Finer-grained Affective Computing EEG Dataset
Jingjing Chen, Xiaobin Wang, Chen Huang, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 16
Toward Domain-Free Transformer for Generalized EEG Pre-Training
Sung-Jin Kim, Dae-Hyeok Lee, Heon-Gyu Kwak, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 482-492
Open Access | Times Cited: 5
A Weighted Co-Training Framework for Emotion Recognition Based on EEG Data Generation Using Frequency-Spatial Diffusion Transformer
Yufan Yi, Yiping Xu, Bo Yang, et al.
IEEE Transactions on Affective Computing (2024) Vol. 15, Iss. 4, pp. 2055-2069
Closed Access | Times Cited: 5
Attention-guided universal adversarial perturbations for EEG-based brain-computer interfaces
Sheng-hua Zhong, Sijia Zhao, Zhijiao Xiao, et al.
Expert Systems with Applications (2025) Vol. 268, pp. 126362-126362
Closed Access
A contrastive self-supervised learning method for source-free EEG emotion recognition
Yingdong Wang, Qunsheng Ruan, Qingfeng Wu, et al.
User Modeling and User-Adapted Interaction (2025) Vol. 35, Iss. 1
Closed Access
Emotion analysis of EEG signals using proximity-conserving auto-encoder (PCAE) and ensemble techniques
R. Mathumitha, A. Maryposonia
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
Knowledge-guided quantization-aware training for EEG-based emotion recognition
Sheng-hua Zhong, Jiahao Shi, Yi Wang
Journal of Visual Communication and Image Representation (2025) Vol. 108, pp. 104415-104415
Closed Access
EEG-Based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning
Chang Li, Xuejuan Lin, Yü Liu, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 20, pp. 19608-19619
Closed Access | Times Cited: 23
Generative AI Enables EEG Data Augmentation for Alzheimer’s Disease Detection Via Diffusion Model
Tong Zhou, Xuhang Chen, Yanyan Shen, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 12
DCNet: A Self-Supervised EEG Classification Framework for Improving Cognitive Computing-Enabled Smart Healthcare
Yiyang Zhang, Le Sun, Deepak Gupta, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 8, pp. 4494-4502
Closed Access | Times Cited: 4
A robust operators’ cognitive workload recognition method based on denoising masked autoencoder
Xiaoqing Yu, Chun‐Hsien Chen
Knowledge-Based Systems (2024) Vol. 301, pp. 112370-112370
Closed Access | Times Cited: 4
Generative Listener EEG for Speech Emotion Recognition Using Generative Adversarial Networks With Compressed Sensing
Chang Jiang, Zhixin Zhang, Zelin Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2025-2036
Closed Access | Times Cited: 3
MISNet: multi-source information-shared EEG emotion recognition network with two-stream structure
Ming Gong, Wei Zhong, Long Ye, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 3
Research Progress of EEG-Based Emotion Recognition: A Survey
Yiming Wang, Bin Zhang, Lamei Di
ACM Computing Surveys (2024) Vol. 56, Iss. 11, pp. 1-49
Open Access | Times Cited: 3
Multi-Scale Masked Autoencoders for Cross-Session Emotion Recognition
Miaoqi Pang, Hongtao Wang, Jiayang Huang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1637-1646
Open Access | Times Cited: 3
Synthesizing affective neurophysiological signals using generative models: A review paper
Alireza Farrokhi Nia, Vanessa Tang, Gonzalo D. Maso Talou, et al.
Journal of Neuroscience Methods (2024) Vol. 406, pp. 110129-110129
Open Access | Times Cited: 2
EEG-Based Emotion Recognition via Knowledge-Integrated Interpretable Method
Ying Zhang, Cui Chen, Sheng-hua Zhong
Mathematics (2023) Vol. 11, Iss. 6, pp. 1424-1424
Open Access | Times Cited: 7
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