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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:

Bi-hemisphere asymmetric attention network: recognizing emotion from EEG signals based on the transformer
Xinyue Zhong, Yun Gu, Yutong Luo, et al.
Applied Intelligence (2022) Vol. 53, Iss. 12, pp. 15278-15294
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

EEG emotion recognition based on Ordinary Differential Equation Graph Convolutional Networks and Dynamic Time Wrapping
Yiyuan Chen, Xiaodong Xu, Xiaoyi Bian, et al.
Applied Soft Computing (2024) Vol. 152, pp. 111181-111181
Closed Access | Times Cited: 7
Self-supervised Learning with Attention Mechanism for EEG-based seizure detection
Tiantian Xiao, Ziwei Wang, Yongfeng Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105464-105464
Closed Access | Times Cited: 16
Decoding human taste perception by reconstructing and mining temporal-spatial features of taste-related EEGs
Xiuxin Xia, Yuchao Yang, Yan Shi, et al.
Applied Intelligence (2024) Vol. 54, Iss. 5, pp. 3902-3917
Closed Access | Times Cited: 6
AFLEMP: Attention-based Federated Learning for Emotion recognition using Multi-modal Physiological data
Neha Gahlan, Divyashikha Sethia
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106353-106353
Closed Access | Times Cited: 5
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
A fine-grained hemispheric asymmetry network for accurate and interpretable EEG-based emotion classification
Ruofan Yan, Na Lü, Yuxuan Yan, et al.
Neural Networks (2025) Vol. 184, pp. 107127-107127
Open Access
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
Emotion recognition from multiple physiological signals using intra- and inter-modality attention fusion network
Linlin Gong, Wanzhong Chen, Mingyang Li, et al.
Digital Signal Processing (2023) Vol. 144, pp. 104278-104278
Closed Access | Times Cited: 13
Pilot Stress Detection Through Physiological Signals Using a Transformer-Based Deep Learning Model
Yuhan Li, Ke Li, Jiaao Chen, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 11774-11784
Closed Access | Times Cited: 12
SECT: A Method of Shifted EEG Channel Transformer for Emotion Recognition
Zhongli Bai, Fazheng Hou, Kaixuan Sun, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 10, pp. 4758-4767
Closed Access | Times Cited: 12
HEMAsNet: A Hemisphere Asymmetry Network Inspired by the Brain for Depression Recognition From Electroencephalogram Signals
Jian Shen, Kunlin Li, Huajian Liang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5247-5259
Closed Access | Times Cited: 3
An Attention-Based Multi-Domain Bi-Hemisphere Discrepancy Feature Fusion Model for EEG Emotion Recognition
Linlin Gong, Wanzhong Chen, Dingguo Zhang
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 5890-5903
Closed Access | Times Cited: 3
EEG-VTTCNet: A loss joint training model based on the vision transformer and the temporal convolution network for EEG-based motor imagery classification
Xingbin Shi, Baojiang Li, Wenlong Wang, et al.
Neuroscience (2024) Vol. 556, pp. 42-51
Closed Access | Times Cited: 2
A lightweight convolutional transformer neural network for EEG-based depression recognition
Pengfei Hou, Xiaowei Li, Jing Zhu, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107112-107112
Closed 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
High-Accuracy Classification of Multiple Distinct Human Emotions Using EEG Differential Entropy Features and ResNet18
Longxin Yao, Yun Lu, Yukun Qian, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6175-6175
Open Access | Times Cited: 1
FBSA-Net: A Novel Model Based on Attention Mechanisms for Emotion Recognition in VR and 2D Scenes
Jialan Xie, Yutong Luo, Ping Lan, et al.
Knowledge-Based Systems (2024) Vol. 302, pp. 112287-112287
Closed Access | Times Cited: 1
Analysis of EEG Signals Fused With CNN and Complex Networks
L.-H. Ma, Haipeng Xu
IEEE Access (2024) Vol. 12, pp. 42710-42724
Open Access | Times Cited: 1
Enhancing local representation learning through global–local integration with functional connectivity for EEG-based emotion recognition
Baole Fu, Xiangkun Yu, Guijie Jiang, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108857-108857
Closed Access | Times Cited: 1
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: 1
A dual transfer learning method based on 3D-CNN and vision transformer for emotion recognition
Zhifen Guo, Jiao Wang, Bin Zhang, et al.
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access | Times Cited: 1
From gram to attention matrices: a monotonicity constrained method for eeg-based emotion classification
Dongyang Kuang, Craig Michoski, Wenting Li, et al.
Applied Intelligence (2023) Vol. 53, Iss. 18, pp. 20690-20709
Closed Access | Times Cited: 2
HASTF: a hybrid attention spatio-temporal feature fusion network for EEG emotion recognition
Fangzhou Hu, Fei Wang, Jinying Bi, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access
VG-DOCoT: a novel DO-Conv and transformer framework via VAE-GAN technique for EEG emotion recognition
Yanping Zhu, Lei Huang, Jixin Chen, et al.
Frontiers of Information Technology & Electronic Engineering (2024) Vol. 25, Iss. 11, pp. 1497-1514
Closed Access
Emotion Recognition in EEG Based on Multilevel Multidomain Feature Fusion
Z Li, Hui Cao, Ji Sai Zhang
IEEE Access (2024) Vol. 12, pp. 87237-87247
Open Access
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