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 Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition
Yang Li, Wenming Zheng, Yuan Zong, et al.
IEEE Transactions on Affective Computing (2018) Vol. 12, Iss. 2, pp. 494-504
Closed Access | Times Cited: 243

Showing 1-25 of 243 citing articles:

EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
Peixiang Zhong, Di Wang, Chunyan Miao
IEEE Transactions on Affective Computing (2020) Vol. 13, Iss. 3, pp. 1290-1301
Open Access | Times Cited: 510

Transfer Learning for EEG-Based Brain–Computer Interfaces: A Review of Progress Made Since 2016
Dongrui Wu, Yifan Xu, Bao‐Liang Lu
IEEE Transactions on Cognitive and Developmental Systems (2020) Vol. 14, Iss. 1, pp. 4-19
Open Access | Times Cited: 258

A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition
Yang Li, Lei Wang, Wenming Zheng, et al.
IEEE Transactions on Cognitive and Developmental Systems (2020) Vol. 13, Iss. 2, pp. 354-367
Open Access | Times Cited: 231

EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network
Heng Cui, Aiping Liu, Xu Zhang, et al.
Knowledge-Based Systems (2020) Vol. 205, pp. 106243-106243
Closed Access | Times Cited: 214

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt‐Aristizabal, Mohammad Ali Armin, Simon Denman, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4758-4758
Open Access | Times Cited: 160

TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition
Yi Ding, Neethu Robinson, Su Zhang, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 2238-2250
Open Access | Times Cited: 153

Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition
Xinke Shen, Xianggen Liu, Xin Hu, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 2496-2511
Open Access | Times Cited: 131

Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition
Dongmin Huang, Sentao Chen, Cheng Liu, et al.
Neurocomputing (2021) Vol. 448, pp. 140-151
Closed Access | Times Cited: 119

3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition
Shuaiqi Liu, Xu Wang, Ling Zhao, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 11, pp. 5321-5331
Closed Access | Times Cited: 113

4D attention-based neural network for EEG emotion recognition
Guowen Xiao, Meng Shi, Mengwen Ye, et al.
Cognitive Neurodynamics (2022) Vol. 16, Iss. 4, pp. 805-818
Open Access | Times Cited: 87

EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism
Lin Feng, Cheng Cheng, Mingyan Zhao, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 11, pp. 5406-5417
Closed Access | Times Cited: 83

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: 79

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: 75

LGGNet: Learning From Local-Global-Graph Representations for Brain–Computer Interface
Yi Ding, Neethu Robinson, Chengxuan Tong, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 7, pp. 9773-9786
Open Access | Times Cited: 55

PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
Ming Jin, Changde Du, Huiguang He, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 9070-9082
Closed Access | Times Cited: 20

SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals
Guanhua Zhang, Minjing Yu, Yong‐Jin Liu, et al.
IEEE Transactions on Affective Computing (2021) Vol. 14, Iss. 1, pp. 537-548
Closed Access | Times Cited: 94

TSception:A Deep Learning Framework for Emotion Detection Using EEG
Yi Ding, Neethu Robinson, Qiuhao Zeng, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-7
Open Access | Times Cited: 84

Dynamic Joint Domain Adaptation Network for Motor Imagery Classification
Xiaolin Hong, Qingqing Zheng, Luyan Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 556-565
Open Access | Times Cited: 84

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: 78

Cross-Subject EEG Emotion Recognition With Self-Organized Graph Neural Network
Jingcong Li, Shuqi Li, Jiahui Pan, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 73

Variational Instance-Adaptive Graph for EEG Emotion Recognition
Tengfei Song, Suyuan Liu, Wenming Zheng, et al.
IEEE Transactions on Affective Computing (2021) Vol. 14, Iss. 1, pp. 343-356
Closed Access | Times Cited: 68

A Review of Recurrent Neural Network-Based Methods in Computational Physiology
Shitong Mao, Ervin Sejdić
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 10, pp. 6983-7003
Open Access | Times Cited: 54

Multi-Modal Domain Adaptation Variational Autoencoder for EEG-Based Emotion Recognition
Zhaoran Wang, Shuang Qiu, Dan Li, et al.
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 9, Iss. 9, pp. 1612-1626
Closed Access | Times Cited: 54

EEG-GCN: Spatio-Temporal and Self-Adaptive Graph Convolutional Networks for Single and Multi-View EEG-Based Emotion Recognition
Yue Gao, Xiangling Fu, Tianxiong Ouyang, et al.
IEEE Signal Processing Letters (2022) Vol. 29, pp. 1574-1578
Closed Access | Times Cited: 53

Subject-independent EEG emotion recognition with hybrid spatio-temporal GRU-Conv architecture
Guixun Xu, Wenhui Guo, Yanjiang Wang
Medical & Biological Engineering & Computing (2022) Vol. 61, Iss. 1, pp. 61-73
Open Access | Times Cited: 51

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