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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 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: 79

Showing 1-25 of 79 citing articles:

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
License Plate Recognition System Based on Improved YOLOv5 and GRU
Hengliang Shi, Dongnan Zhao
IEEE Access (2023) Vol. 11, pp. 10429-10439
Open Access | Times Cited: 52
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: 46
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: 20
DCT based multi-head attention-BiGRU model for EEG source location
Boyuan Zhang, Donghao Li, Dongqing Wang
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106171-106171
Closed Access | Times Cited: 17
Multimodal Emotion Recognition From EEG Signals and Facial Expressions
Shuai Wang, Jingzi Qu, Yong Zhang, et al.
IEEE Access (2023) Vol. 11, pp. 33061-33068
Open Access | Times Cited: 41
A Domain Generative Graph Network for EEG-Based Emotion Recognition
Yun Gu, Xinyue Zhong, Cheng Qu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 5, pp. 2377-2386
Closed Access | Times Cited: 33
MTLFuseNet: A novel emotion recognition model based on deep latent feature fusion of EEG signals and multi-task learning
Rui Li, Chao Ren, Yiqing Ge, et al.
Knowledge-Based Systems (2023) Vol. 276, pp. 110756-110756
Closed Access | Times Cited: 32
ICaps-ResLSTM: Improved capsule network and residual LSTM for EEG emotion recognition
Cunhang Fan, Heng Xie, Jianhua Tao, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105422-105422
Closed Access | Times Cited: 31
STGATE: Spatial-temporal graph attention network with a transformer encoder for EEG-based emotion recognition
Jingcong Li, Weijian Pan, Haiyun Huang, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 30
EEG-Based Emotion Recognition for Hearing Impaired and Normal Individuals With Residual Feature Pyramids Network Based on Time–Frequency–Spatial Features
Fazheng Hou, Junjie Liu, Zhongli Bai, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 29
TorchEEGEMO: A deep learning toolbox towards EEG-based emotion recognition
Zhi Zhang, Sheng-hua Zhong, Yan Liu
Expert Systems with Applications (2024) Vol. 249, pp. 123550-123550
Closed Access | Times Cited: 9
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
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 | Times Cited: 1
Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers
Camilo E. Valderrama, Anshul Sheoran
Frontiers in Psychiatry (2025) Vol. 16
Open Access | Times Cited: 1
An attention-based hybrid deep learning model for EEG emotion recognition
Yong Zhang, Yidie Zhang, Shuai Wang
Signal Image and Video Processing (2022) Vol. 17, Iss. 5, pp. 2305-2313
Closed Access | Times Cited: 33
A systematic literature review of emotion recognition using EEG signals
Dwi Wahyu Prabowo, Hanung Adi Nugroho, Noor Akhmad Setiawan, et al.
Cognitive Systems Research (2023) Vol. 82, pp. 101152-101152
Closed Access | Times Cited: 20
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 Emotion Classification Based on Graph Convolutional Network
Zhiqiang Fan, Fangyue Chen, Xiaokai Xia, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 726-726
Open Access | Times Cited: 7
EEG-based emotion recognition using a temporal-difference minimizing neural network
Xiangyu Ju, Ming Li, Wenli Tian, et al.
Cognitive Neurodynamics (2023) Vol. 18, Iss. 2, pp. 405-416
Open Access | Times Cited: 16
STCGRU: A hybrid model based on CNN and BiGRU for mild cognitive impairment diagnosis
Hao Zhou, Liyong Yin, Rui Su, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 248, pp. 108123-108123
Closed Access | Times Cited: 5
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: 5
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 long-term prediction method for PM2.5 concentration based on spatiotemporal graph attention recurrent neural network and grey wolf optimization algorithm
Chen Zhang, Shengzhao Wang, Yue Wu, et al.
Journal of environmental chemical engineering (2023) Vol. 12, Iss. 1, pp. 111716-111716
Closed Access | Times Cited: 11
EEG-ConvNet: Convolutional networks for EEG-based subject-dependent emotion recognition
Sheeraz Ahmad Khan, Eamin Chaudary, Wajid Mumtaz
Computers & Electrical Engineering (2024) Vol. 116, pp. 109178-109178
Closed Access | Times Cited: 4
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