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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:

EEG-based emotion recognition using 4D convolutional recurrent neural network
Fangyao Shen, Guojun Dai, Guang Lin, et al.
Cognitive Neurodynamics (2020) Vol. 14, Iss. 6, pp. 815-828
Open Access | Times Cited: 153

Showing 1-25 of 153 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: 118
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: 85
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: 77
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: 76
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: 55
GLFANet: A global to local feature aggregation network for EEG emotion recognition
Shuaiqi Liu, Yingying Zhao, Yanling An, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104799-104799
Closed Access | Times Cited: 55
A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence
Raveendrababu Vempati, Lakhan Dev Sharma
Results in Engineering (2023) Vol. 18, pp. 101027-101027
Open Access | Times Cited: 45
Light-weight residual convolution-based capsule network for EEG emotion recognition
Cunhang Fan, Jinqin Wang, Huang Wei, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102522-102522
Closed Access | Times Cited: 16
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: 61
Tetromino pattern based accurate EEG emotion classification model
Türker Tuncer, Şengül Doğan, Mehmet Bayğın, et al.
Artificial Intelligence in Medicine (2021) Vol. 123, pp. 102210-102210
Closed Access | Times Cited: 57
A Novel DE-CNN-BiLSTM Multi-Fusion Model for EEG Emotion Recognition
Fachang Cui, Ruqing Wang, Weiwei Ding, et al.
Mathematics (2022) Vol. 10, Iss. 4, pp. 582-582
Open Access | Times Cited: 47
EEG emotion recognition based on TQWT-features and hybrid convolutional recurrent neural network
Mei-yu Zhong, Yang Qing-yu, Yi Liu, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104211-104211
Closed Access | Times Cited: 42
Emotion recognition using effective connectivity and pre-trained convolutional neural networks in EEG signals
Sara Bagherzadeh, Keivan Maghooli, Ahmad Shalbaf, et al.
Cognitive Neurodynamics (2022) Vol. 16, Iss. 5, pp. 1087-1106
Open Access | Times Cited: 41
EEG-based cross-subject emotion recognition using multi-source domain transfer learning
Jie Quan, Ying Li, Lingyue Wang, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104741-104741
Closed Access | Times Cited: 35
DA-CapsNet: A multi-branch capsule network based on adversarial domain adaption for cross-subject EEG emotion recognition
Shuaiqi Liu, Zeyao Wang, Yanling An, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111137-111137
Closed Access | Times Cited: 34
EESCN: A novel spiking neural network method for EEG-based emotion recognition
Feifan Xu, Deng Pan, Haohao Zheng, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107927-107927
Closed Access | Times Cited: 25
EEGformer: A transformer–based brain activity classification method using EEG signal
Zhijiang Wan, Manyu Li, Shichang Liu, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 23
Convolutional Neural Network-Based EEG Signal Analysis: A Systematic Review
Swati Rajwal, Swati Aggarwal
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3585-3615
Closed Access | Times Cited: 23
Bi-Branch Vision Transformer Network for EEG Emotion Recognition
Wei Lu, Tien-Ping Tan, Hua Ma
IEEE Access (2023) Vol. 11, pp. 36233-36243
Open Access | Times Cited: 22
Emotion Classification Based on Transformer and CNN for EEG Spatial–Temporal Feature Learning
Xiuzhen Yao, Tianwen Li, Peng Ding, et al.
Brain Sciences (2024) Vol. 14, Iss. 3, pp. 268-268
Open Access | Times Cited: 13
An emotion recognition method based on EWT-3D–CNN–BiLSTM-GRU-AT model
Muharrem Çelebi, Sıtkı Öztürk, Kaplan Kaplan
Computers in Biology and Medicine (2024) Vol. 169, pp. 107954-107954
Closed Access | Times Cited: 8
Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition
Zhi Zhang, Shenghua Zhong, Yan Liu
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 9, pp. 10252-10260
Open Access | Times Cited: 8
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
Deep Learning Methods for Multi-Channel EEG-Based Emotion Recognition
Ali Olamat, Pınar Özel, Sema Atasever
International Journal of Neural Systems (2022) Vol. 32, Iss. 05
Closed Access | Times Cited: 34
A multiple frequency bands parallel spatial–temporal 3D deep residual learning framework for EEG-based emotion recognition
Minmin Miao, Longxin Zheng, Baoguo Xu, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104141-104141
Closed Access | Times Cited: 34
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