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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 1-25 of 45 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: 74
Robust electroencephalogram-based biometric identification against GAN-generated artificial signals using a novel end-to-end attention-based CNN-LSTM neural network
Javad Zarean, AmirReza Tajally, Reza Tavakkoli‐Moghaddam, et al.
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access | Times Cited: 1
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: 23
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
DiffMDD: A Diffusion-Based Deep Learning Framework for MDD Diagnosis Using EEG
Yilin Wang, Sha Zhao, Haiteng Jiang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 728-738
Open Access | Times Cited: 8
SleepBoost: a multi-level tree-based ensemble model for automatic sleep stage classification
Akib Zaman, Shiu Kumar, Swakkhar Shatabda, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 9, pp. 2769-2783
Closed Access | Times Cited: 7
A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications
Weizhi Ma, Yujia Zheng, Tianhao Li, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2065-e2065
Open Access | Times Cited: 5
TFCNN-BiGRU with self-attention mechanism for automatic human emotion recognition using multi-channel EEG data
Essam H. Houssein, Asmaa Hammad, Nagwan Abdel Samee, et al.
Cluster Computing (2024) Vol. 27, Iss. 10, pp. 14365-14385
Closed Access | Times Cited: 5
M-Mdd: A Multi-Task Deep Learning Framework for Major Depressive Disorder Diagnosis Using Eeg
Yilin Wang, Sha Zhao, Haiteng Jiang, et al.
(2025)
Closed Access
An enhanced deep learning model based on smoothed pseudo Wigner-Ville distribution technique for emotion recognition with channel selection
Muharrem Çelebi, Sıtkı Öztürk, Kaplan Kaplan
Ain Shams Engineering Journal (2025) Vol. 16, Iss. 2, pp. 103264-103264
Closed Access
Emotion analysis of EEG signals using proximity-conserving auto-encoder (PCAE) and ensemble techniques
R. Mathumitha, A. Maryposonia
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
Explainable multi-frequency and multi-region fusion model for affective brain-computer interfaces
Tao Wang, Rui Mao, Shuang Liu, et al.
Information Fusion (2025), pp. 102971-102971
Closed Access
M-MDD: A multi-task deep learning framework for major depressive disorder diagnosis using EEG
Yilin Wang, Sha Zhao, Haiteng Jiang, et al.
Neurocomputing (2025), pp. 130008-130008
Closed Access
Functional connectivity-enhanced feature-grouped attention network for cross-subject EEG emotion recognition
Wenhui Guo, Yaxuan Li, Mengxue Liu, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111199-111199
Closed Access | Times Cited: 14
Electroencephalogram-based emotion recognition using factorization temporal separable convolution network
Lijun Yang, Yixin Wang, Rujie Ouyang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108011-108011
Closed Access | Times Cited: 4
A Customized ECA-CRNN Model for Emotion Recognition Based on EEG Signals
Yan Song, Yiming Yin, Panfeng Xu
Electronics (2023) Vol. 12, Iss. 13, pp. 2900-2900
Open Access | Times Cited: 10
TBEEG: A Two-Branch Manifold Domain Enhanced Transformer Algorithm for Learning EEG Decoding
Yanjun Qin, Wenqi Zhang, Xiaoming Tao
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1445-1455
Open Access | Times Cited: 3
Enhancing cross-subject EEG emotion recognition through multi-source manifold metric transfer learning
XinSheng Shi, Qingshan She, Feng Fang, et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108445-108445
Closed Access | Times Cited: 3
Innovative approach to daily carbon dioxide emission forecast based on ensemble of quantile regression and attention BILSTM
Zhou Zheng, Yu Le, Wang Yu-ming, et al.
Journal of Cleaner Production (2024) Vol. 460, pp. 142605-142605
Closed Access | Times Cited: 3
Convolutional gated recurrent unit-driven multidimensional dynamic graph neural network for subject-independent emotion recognition
Wenhui Guo, Yanjiang Wang
Expert Systems with Applications (2023) Vol. 238, pp. 121889-121889
Closed Access | Times Cited: 9
Imagined speech classification exploiting EEG power spectrum features
Arman Hossain, Protima Khan, Md. Fazlul Kader
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 8, pp. 2529-2544
Closed Access | Times Cited: 2
Exploring Adaptive Graph Topologies and Temporal Graph Networks for EEG-Based Depression Detection
Gang Luo, Hong Rao, Panfeng An, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3947-3957
Open Access | Times Cited: 7
Attention-based Temporal Graph Representation Learning for EEG-based Emotion Recognition
Chao Li, Feng Wang, Ziping Zhao, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 5755-5767
Closed Access | Times Cited: 2
A review of artificial intelligence methods enabled music-evoked EEG emotion recognition and their applications
Yan Su, Yong Liu, Yan Xiao, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
Resting-State Electroencephalogram Depression Diagnosis Based on Traditional Machine Learning and Deep Learning: A Comparative Analysis
Haijun Lin, Jing Fang, Junpeng Zhang, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 6815-6815
Open Access | Times Cited: 2
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