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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 Emotion Recognition of EEG Signals Based on Dynamic Empirical Convolutional Neural Network
Shuaiqi Liu, Xu Wang, Ling Zhao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 18, Iss. 5, pp. 1710-1721
Closed Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

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: 211
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: 130
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: 124
EEG emotion recognition based on the attention mechanism and pre-trained convolution capsule network
Shuaiqi Liu, Zeyao Wang, Yanling An, et al.
Knowledge-Based Systems (2023) Vol. 265, pp. 110372-110372
Closed Access | Times Cited: 107
Subject independent emotion recognition using EEG signals employing attention driven neural networks
Arjun, Aniket Singh Rajpoot, Mahesh Raveendranatha Panicker
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103547-103547
Open Access | Times Cited: 78
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
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: 44
Emotion Recognition from EEG Signals Using Advanced Transformations and Deep Learning
Jonathan Axel Cruz-Vazquez, J. Yaljá Montiel-Pérez, Rodolfo Romero Herrera, et al.
Mathematics (2025) Vol. 13, Iss. 2, pp. 254-254
Open Access | Times Cited: 1
Can Emotion Be Transferred?—A Review on Transfer Learning for EEG-Based Emotion Recognition
Wei Li, Wei Huan, Bowen Hou, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 3, pp. 833-846
Closed Access | Times Cited: 81
A Multi-Dimensional Graph Convolution Network for EEG Emotion Recognition
Guanglong Du, Jinshao Su, Linlin Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 47
An EEG Data Processing Approach for Emotion Recognition
Guofa Li, Delin Ouyang, Yufei Yuan, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 11, pp. 10751-10763
Closed Access | Times Cited: 38
Affective Brain–Computer Interfaces (aBCIs): A Tutorial
Dongrui Wu, Bao‐Liang Lu, Bin Hu, et al.
Proceedings of the IEEE (2023) Vol. 111, Iss. 10, pp. 1314-1332
Closed Access | Times Cited: 37
Deep learning-based EEG emotion recognition: Current trends and future perspectives
Xiaohu Wang, Yongmei Ren, Ze Luo, et al.
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 33
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: 32
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: 27
Design of subject independent 3D VAD emotion detection system using EEG signals and machine learning algorithms
Durgesh Nandini, Jyoti Yadav, Asha Rani, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104894-104894
Closed Access | Times Cited: 22
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
A Brain Network Analysis-Based Double Way Deep Neural Network for Emotion Recognition
W. D. Niu, Chao Ma, Xinlin Sun, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 917-925
Open Access | Times Cited: 21
DRER: Deep Learning–Based Driver’s Real Emotion Recognizer
Geesung Oh, Junghwan Ryu, Euiseok Jeong, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2166-2166
Open Access | Times Cited: 41
Driver Emotions Recognition Based on Improved Faster R-CNN and Neural Architectural Search Network
Khalid Zaman, Zhaoyun Sun, Sayyed Mudassar Shah, et al.
Symmetry (2022) Vol. 14, Iss. 4, pp. 687-687
Open Access | Times Cited: 30
Bi-hemisphere asymmetric attention network: recognizing emotion from EEG signals based on the transformer
Xinyue Zhong, Yun Gu, Yutong Luo, et al.
Applied Intelligence (2022) Vol. 53, Iss. 12, pp. 15278-15294
Closed Access | Times Cited: 28
Electroencephalogram-Based Emotion Recognition: A Comparative Analysis of Supervised Machine Learning Algorithms
A. H. Prakash, Alwin Poulose
Data Science and Management (2025)
Open Access
Narrowband constraint-enhanced successive variational mode decomposition
Wenjia Gao, Dan Liu, Qisong Wang, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107396-107396
Closed Access
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
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