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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 novel transferability attention neural network model for EEG emotion recognition
Yang Li, Boxun Fu, Li Fu, et al.
Neurocomputing (2021) Vol. 447, pp. 92-101
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Automated emotion recognition: Current trends and future perspectives
M. Maithri, U. Raghavendra, Anjan Gudigar, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 215, pp. 106646-106646
Closed Access | Times Cited: 115
EEG emotion recognition based on the attention mechanism and pre-trained convolution capsule network
Shuaiqi Liu, Zeyao Wang, Yanling An, et al.
Knowledge-Based Systems (2023) Vol. 265, pp. 110372-110372
Closed Access | Times Cited: 107
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: 75
Self‐training maximum classifier discrepancy for EEG emotion recognition
Xu Zhang, Dengbing Huang, Hanyu Li, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 4, pp. 1480-1491
Open Access | Times Cited: 74
Review on Emotion Recognition Based on Electroencephalography
Haoran Liu, Ying Zhang, Yujun Li, et al.
Frontiers in Computational Neuroscience (2021) Vol. 15
Open Access | Times Cited: 92
A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer Feature Fusion Network for EEG Emotion Recognition
Mingyi Sun, Weigang Cui, Shuyue Yu, et al.
IEEE Transactions on Affective Computing (2022) Vol. 13, Iss. 4, pp. 2218-2228
Closed Access | Times Cited: 57
EEG-Based Emotion Recognition With Emotion Localization via Hierarchical Self-Attention
Yuzhe Zhang, Huan Liu, Dalin Zhang, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 2458-2469
Closed Access | Times Cited: 42
A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods
Bei Pan, Kaoru Hirota, Zhiyang Jia, et al.
Neurocomputing (2023) Vol. 561, pp. 126866-126866
Closed Access | Times Cited: 33
Multi-source domain adaptation with spatio-temporal feature extractor for EEG emotion recognition
Wenhui Guo, Guixun Xu, Yanjiang Wang
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104998-104998
Closed Access | Times Cited: 24
Multi-view domain-adaptive representation learning for EEG-based emotion recognition
Chao Li, Ning Bian, Ziping Zhao, et al.
Information Fusion (2023) Vol. 104, pp. 102156-102156
Closed Access | Times Cited: 24
Subject-Independent Emotion Recognition Based on EEG Frequency Band Features and Self-Adaptive Graph Construction
Jinhao Zhang, Yanrong Hao, Xin Wen, et al.
Brain Sciences (2024) Vol. 14, Iss. 3, pp. 271-271
Open Access | Times Cited: 9
EEG emotion recognition using EEG-SWTNS neural network through EEG spectral image
Mengpu Cai, Junxiang Chen, Chengcheng Hua, et al.
Information Sciences (2024) Vol. 680, pp. 121198-121198
Closed Access | Times Cited: 9
Gusa: Graph-Based Unsupervised Subdomain Adaptation for Cross-Subject EEG Emotion Recognition
Xiaojun Li, C. L. Philip Chen, Bianna Chen, et al.
IEEE Transactions on Affective Computing (2024) Vol. 15, Iss. 3, pp. 1451-1462
Closed Access | Times Cited: 8
Horizontal and vertical features fusion network based on different brain regions for emotion recognition
Wenhui Guo, Guixun Xu, Yanjiang Wang
Knowledge-Based Systems (2022) Vol. 247, pp. 108819-108819
Closed Access | Times Cited: 32
EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion
Heng Cui, Aiping Liu, Xu Zhang, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 4, pp. 2740-2750
Closed Access | Times Cited: 31
Hierarchical multimodal-fusion of physiological signals for emotion recognition with scenario adaption and contrastive alignment
Jiehao Tang, Zhuang Ma, Kaiyu Gan, et al.
Information Fusion (2023) Vol. 103, pp. 102129-102129
Closed Access | Times Cited: 20
Learning a robust unified domain adaptation framework for cross-subject EEG-based emotion recognition
Magdiel Jiménez-Guarneros, Gibrán Fuentes-Pineda
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105138-105138
Closed Access | Times Cited: 19
A Transformer Convolutional Network With the Method of Image Segmentation for EEG-Based Emotion Recognition
Xinyi Zhang, Xiankai Cheng
IEEE Signal Processing Letters (2024) Vol. 31, pp. 401-405
Closed Access | Times Cited: 7
Spatio-Temporal Image-Based Encoded Atlases for EEG Emotion Recognition
Danilo Avola, Luigi Cinque, A. Di Mambro, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 05
Open Access | Times Cited: 5
GDDN: Graph Domain Disentanglement Network for Generalizable EEG Emotion Recognition
Bianna Chen, C. L. Philip Chen, Tong Zhang
IEEE Transactions on Affective Computing (2024) Vol. 15, Iss. 3, pp. 1739-1753
Closed Access | Times Cited: 5
Toward the Construction of Affective Brain-Computer Interface: A Systematic Review
Huayu Chen, Junxiang Li, Huanhuan He, et al.
ACM Computing Surveys (2025)
Closed Access
Multiple class transfer learning framework with source label adaptive correction for EEG emotion recognition
Lei Zhu, Mengxuan Xu, Aiai Huang, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107536-107536
Closed Access
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
Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals
Yong Peng, Wen-Juan Wang, Wanzeng Kong, et al.
IEEE Transactions on Affective Computing (2022) Vol. 13, Iss. 4, pp. 1941-1958
Closed Access | Times Cited: 23
Stress recognition with multi‐modal sensing using bootstrapped ensemble deep learning model
Ghanapriya Singh, Orchid Chetia Phukan, Ravinder Kumar
Expert Systems (2023) Vol. 40, Iss. 6
Closed Access | Times Cited: 14
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