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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:

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: 45

Showing 26-50 of 45 citing articles:

Multi-Channel EEG-based Multi-Class Emotion Recognition From Multiple Frequency Bands
B V S S Revanth, Sakshi Gupta, Prakhar Dubey, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 5
Prediction of Cryptocurrency Price using Time Series Data and Deep Learning Algorithms
M. Thamban Nair, Mohamed I. Marie, Laila A. Abd-Elmegid
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 5
Cross-subject EEG-based emotion recognition through dynamic optimization of random forest with sparrow search algorithm
Xiaodan Zhang, Shu‐Yi Wang, Kemeng Xu, et al.
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 3, pp. 4779-4800
Open Access | Times Cited: 1
Enhancing Emotion Detection with Non-invasive Multi-Channel EEG and Hybrid Deep Learning Architecture
Durgesh Nandini, Jyoti Yadav, Asha Rani, et al.
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2024) Vol. 48, Iss. 3, pp. 1229-1248
Closed Access | Times Cited: 1
Multi-Domain Based Dynamic Graph Representation Learning for EEG Emotion Recognition
Hao Tang, Songyun Xie, Xinzhou Xie, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5227-5238
Closed Access | Times Cited: 1
A model for electroencephalogram emotion recognition: Residual block-gated recurrent unit with attention mechanism
Yujie Wang, Zhang Xiu, Xin Zhang, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 8
Closed Access | Times Cited: 1
Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing
Giulia Cisotto, Davide Chicco
PeerJ Computer Science (2024) Vol. 10, pp. e2256-e2256
Open Access | Times Cited: 1
LSTM-enhanced multi-view dynamical emotion graph representation for EEG signal recognition
Guixun Xu, Wenhui Guo, Yanjiang Wang
Journal of Neural Engineering (2023) Vol. 20, Iss. 3, pp. 036038-036038
Closed Access | Times Cited: 3
Sneaky emotions: impact of data partitions in affective computing experiments with brain-computer interfacing
Yoelvis Moreno-Alcayde, V. Javier Traver, Luis A. Leiva
Biomedical Engineering Letters (2023) Vol. 14, Iss. 1, pp. 103-113
Open Access | Times Cited: 2
An improved empirical mode decomposition method with ensemble classifiers for analysis of multichannel EEG in BCI emotion recognition
Priyadarsini Samal, Mohammad Farukh Hashmi
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-24
Closed Access
Comparative Analysis of EEG Sub-band Powers for Emotion Recognition
Muharrem Çelebi, Sıtkı Öztürk, Kaplan Kaplan
EAI/Springer Innovations in Communication and Computing (2024), pp. 401-410
Closed Access
S-Tfsnet: A Model Decoding S-Transform of Eeg with Convlstm for Detecting Virtual Reality Motion Sickness
Chengcheng Hua, Zhanfeng Zhou, Ying Yan, et al.
(2024)
Closed Access
MMH-Net: A novel multi-modal hybrid learning network for accurate mass estimation of acoustic levitated objects
Yingwei Wang, Liangxu Jiang, Ziyi Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108965-108965
Closed Access
Decoding text from electroencephalography signals: A novel Hierarchical Gated Recurrent Unit with Masked Residual Attention Mechanism
Qiupu Chen, Yimou Wang, Fenmei Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109615-109615
Closed Access
Context-based emotion recognition: A survey
Rizwan Abbas, Bingnan Ni, Ruhui Ma, et al.
Neurocomputing (2024) Vol. 618, pp. 129073-129073
Closed Access
The role of engagement and arousal in emotion regulation: an EEG study
Vladimir Kosonogov, Ioannis Ntoumanis, Gullu Hajiyeva, et al.
Experimental Brain Research (2023)
Closed Access | Times Cited: 1
Decoding Emotions Using Deep Learning Approach to EEG-Based Emotion Recognition
Rajeswari Rajesh Immanuel, S Sangeetha
(2023), pp. 1-6
Closed Access | Times Cited: 1
Inter Subject Emotion Recognition Using Spatio-Temporal Features From EEG Signal
Mohammad Asif, Diya Srivastava, Aditya Gupta, et al.
(2023), pp. 1-4
Closed Access
Context-Based Emotion Recognition: A Survey
Rizwan Abbas, Bingnan Ni, Ruhui Ma, et al.
(2023)
Closed Access
Sixty years in service to international biomedical engineering community
Ratko Magjarević
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 12, pp. 3137-3140
Open Access
EEG Emotion Recognition Based on 4D Fusion Features and Coordinated Attention
Xueliang Liu, Qian Zhao, Yingxiao Qiao, et al.
2021 China Automation Congress (CAC) (2023), pp. 1393-1398
Closed Access
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