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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:

Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis
Wenming Zheng
IEEE Transactions on Cognitive and Developmental Systems (2016) Vol. 9, Iss. 3, pp. 281-290
Closed Access | Times Cited: 265

Showing 1-25 of 265 citing articles:

EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
Tengfei Song, Wenming Zheng, Peng Song, et al.
IEEE Transactions on Affective Computing (2018) Vol. 11, Iss. 3, pp. 532-541
Closed Access | Times Cited: 1023
Emotions Recognition Using EEG Signals: A Survey
Soraia M. Alarcão, Manuel J. Fonseca
IEEE Transactions on Affective Computing (2017) Vol. 10, Iss. 3, pp. 374-393
Closed Access | Times Cited: 900
A Review of Emotion Recognition Using Physiological Signals
Lin Shu, Jinyan Xie, Mingyue Yang, et al.
Sensors (2018) Vol. 18, Iss. 7, pp. 2074-2074
Open Access | Times Cited: 732
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
Jianhua Zhang, Zhong Yin, Peng Chen, et al.
Information Fusion (2020) Vol. 59, pp. 103-126
Open Access | Times Cited: 575
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
Spatial–Temporal Recurrent Neural Network for Emotion Recognition
Tong Zhang, Wenming Zheng, Zhen Cui, et al.
IEEE Transactions on Cybernetics (2018) Vol. 49, Iss. 3, pp. 839-847
Open Access | Times Cited: 485
GCB-Net: Graph Convolutional Broad Network and Its Application in Emotion Recognition
Tong Zhang, Xuehan Wang, Xiangmin Xu, et al.
IEEE Transactions on Affective Computing (2019) Vol. 13, Iss. 1, pp. 379-388
Closed Access | Times Cited: 291
MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion Recognition
Tengfei Song, Wenming Zheng, Lu Cheng, et al.
IEEE Access (2019) Vol. 7, pp. 12177-12191
Open Access | Times Cited: 244
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
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
Time–Frequency Representation and Convolutional Neural Network-Based Emotion Recognition
Smith K. Khare, Varun Bajaj
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 7, pp. 2901-2909
Closed Access | Times Cited: 226
Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review
Essam H. Houssein, Asmaa Hammad, Abdelmgeid A. Ali
Neural Computing and Applications (2022) Vol. 34, Iss. 15, pp. 12527-12557
Open Access | Times Cited: 221
From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition
Yang Li, Wenming Zheng, Lei Wang, et al.
IEEE Transactions on Affective Computing (2019) Vol. 13, Iss. 2, pp. 568-578
Closed Access | Times Cited: 218
An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals
Xiaobing Du, Cuixia Ma, Guanhua Zhang, et al.
IEEE Transactions on Affective Computing (2020) Vol. 13, Iss. 3, pp. 1528-1540
Open Access | Times Cited: 204
EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder
Junxiu Liu, Guopei Wu, Yuling Luo, et al.
Frontiers in Systems Neuroscience (2020) Vol. 14
Open Access | Times Cited: 202
Phase-Locking Value Based Graph Convolutional Neural Networks for Emotion Recognition
Zhongmin Wang, Yue Tong, Xia Heng
IEEE Access (2019) Vol. 7, pp. 93711-93722
Open Access | Times Cited: 169
A Multi-Column CNN Model for Emotion Recognition from EEG Signals
Heekyung Yang, Jongdae Han, Kyungha Min
Sensors (2019) Vol. 19, Iss. 21, pp. 4736-4736
Open Access | Times Cited: 149
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques
Md. Rabiul Islam, Mohammad Ali Moni, Md. Milon Islam, et al.
IEEE Access (2021) Vol. 9, pp. 94601-94624
Open Access | Times Cited: 136
Review of the emotional feature extraction and classification using EEG signals
Jiang Wang, Mei Wang
Cognitive Robotics (2021) Vol. 1, pp. 29-40
Open Access | Times Cited: 129
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
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: 119
Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends
Giovanni Chiarion, Laura Sparacino, Yuri Antonacci, et al.
Bioengineering (2023) Vol. 10, Iss. 3, pp. 372-372
Open Access | Times Cited: 71
A comprehensive survey on emotion recognition based on electroencephalograph (EEG) signals
Kranti S. Kamble, Joydeep Sengupta
Multimedia Tools and Applications (2023) Vol. 82, Iss. 18, pp. 27269-27304
Closed Access | Times Cited: 58
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
Employing PCA and t-statistical approach for feature extraction and classification of emotion from multichannel EEG signal
Md. Asadur Rahman, Md. Foisal Hossain, M.Mokarrom Hossain, et al.
Egyptian Informatics Journal (2019) Vol. 21, Iss. 1, pp. 23-35
Open Access | Times Cited: 141
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