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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:

Linking Multi-Layer Dynamical GCN With Style-Based Recalibration CNN for EEG-Based Emotion Recognition
Guangcheng Bao, Kai Yang, Li Tong, et al.
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 23

Showing 23 citing articles:

EEG emotion recognition using attention-based convolutional transformer neural network
Linlin Gong, Mingyang Li, Tao Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104835-104835
Closed Access | Times Cited: 54
Graph Neural Network-Based EEG Classification: A Survey
Dominik Klepl, Min Wu, Fei He
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 493-503
Open Access | Times Cited: 18
EEG_GLT-Net: Optimising EEG graphs for real-time motor imagery signals classification
Hnin Aung, Jiao Jiao Li, Bin Shi, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107458-107458
Open Access | Times Cited: 1
A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications
Weizhi Ma, Yujia Zheng, Tianhao Li, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2065-e2065
Open Access | Times Cited: 5
Graph convolution network-based eeg signal analysis: a review
Hui Xiong, Yan Yan, Yimei Chen, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access
RETRACTED ARTICLE: A review of Deep Learning based methods for Affect Analysis using Physiological Signals
Divya Garg, Gyanendra K. Verma, Awadhesh Kumar Singh
Multimedia Tools and Applications (2023) Vol. 82, Iss. 17, pp. 26089-26134
Closed Access | Times Cited: 13
A review of Graph Neural Networks for Electroencephalography data analysis
Manuel Graña, Igone Morais-Quilez
Neurocomputing (2023) Vol. 562, pp. 126901-126901
Open Access | Times Cited: 13
Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition
Guangqiang Li, Ning Chen, Hongqing Zhu, et al.
Neural Networks (2025) Vol. 187, pp. 107363-107363
Closed Access
A Comparative Study on Prominent Connectivity Features for Emotion Recognition From EEG
Mahfuza Akter Maria, M. A. H. Akhand, A. B. M. Aowlad Hossain, et al.
IEEE Access (2023) Vol. 11, pp. 37809-37831
Open Access | Times Cited: 11
EEG–fNIRS-Based Emotion Recognition Using Graph Convolution and Capsule Attention Network
Guijun Chen, Yue Liu, Xueying Zhang
Brain Sciences (2024) Vol. 14, Iss. 8, pp. 820-820
Open Access | Times Cited: 3
Gated transformer network based EEG emotion recognition
Metin Bi̇lgi̇n, Ahmet Mert
Signal Image and Video Processing (2024) Vol. 18, Iss. 10, pp. 6903-6910
Closed Access | Times Cited: 2
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status
Kun Chen, Shulong Chai, Tianli Xie, et al.
Artificial Intelligence in Medicine (2024) Vol. 157, pp. 102996-102996
Closed Access | Times Cited: 2
SAST-GCN: Segmentation Adaptive Spatial Temporal-Graph Convolutional Network for P3-Based Video Target Detection
Runnan Lu, Ying Zeng, Rongkai Zhang, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 6
Emotion Classification from Multi-Band Electroencephalogram Data Using Dynamic Simplifying Graph Convolutional Network and Channel Style Recalibration Module
Xiaoliang Zhu, Gendong Liu, Liang Zhao, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1917-1917
Open Access | Times Cited: 3
A Novel Method of Emotion Recognition from Multi-Band EEG Topology Maps Based on ERENet
Ziyi Lv, Jing Zhang, Estanislao Epota Oma
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10273-10273
Open Access | Times Cited: 4
Robust Latent Multi-Source Adaptation for Encephalogram-Based Emotion Recognition
Jianwen Tao, Yufang Dan, Di Zhou, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 3
Automatically Extracting and Utilizing EEG Channel Importance Based on Graph Convolutional Network for Emotion Recognition
Kun Yang, Zhenning Yao, Keze Zhang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 8, pp. 4588-4598
Closed Access
Real Environment Warning Model for Visually Impaired People in Trouble on the Blind Roads Based on Wavelet Scattering Network
Zhezhou Yu, M Hu
IEEE Access (2024) Vol. 12, pp. 82156-82167
Open Access
Eeg_Glt-Net: Optimising Eeg Graphs for Real-Time Motor Imagery Signals Classification
Htoo Wai Aung, Jiao Jiao Li, Bin Shi, et al.
(2024)
Open Access
STAFNet: an adaptive multi-feature learning network via spatiotemporal fusion for EEG-based emotion recognition
Fo Hu, Kailun He, Mengyuan Qian, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access
CIT-EmotionNet: convolution interactive transformer network for EEG emotion recognition
Wei Lu, Lingnan Xia, Tien-Ping Tan, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2610-e2610
Open Access
Enhancing EEG Motor Imagery Time Point Signal Classification through Reinforcement Learning and Graph Neural Networks
Htoo Wai Aung, Jiao Jiao Li, Yang An, et al.
(2024), pp. 130-135
Closed Access
A Spatial-Temporal Feature Fusion Emotion Recognition Model Based on Attention Mechanism
Yun Su, Xuan Li, Yueyang Zhou, et al.
2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) (2023), pp. 1268-1273
Closed Access
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