Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Emotion recognition with convolutional neural network and EEG-based EFDMs
Fei Wang, Shichao Wu, Weiwei Zhang, et al.
Neuropsychologia (2020) Vol. 146, pp. 107506-107506
Open Access | Times Cited: 169

Showing 1-25 of 169 citing articles:

EEG Based Emotion Recognition: A Tutorial and Review
Xiang Li, Yazhou Zhang, Prayag Tiwari, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 4, pp. 1-57
Open Access | Times Cited: 236
Emotion recognition based on EEG feature maps through deep learning network
Ante Topic, Mladen Russo
Engineering Science and Technology an International Journal (2021) Vol. 24, Iss. 6, pp. 1442-1454
Open Access | Times Cited: 175
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: 135
Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Smith K. Khare, Victoria Blanes‐Vidal, Esmaeil S. Nadimi, et al.
Information Fusion (2023) Vol. 102, pp. 102019-102019
Open Access | Times Cited: 124
3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition
Shuaiqi Liu, Xu Wang, Ling Zhao, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 11, pp. 5321-5331
Closed Access | Times Cited: 112
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
Cognitive neuroscience and robotics: Advancements and future research directions
Sichao Liu, Lihui Wang, Robert X. Gao
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102610-102610
Open Access | Times Cited: 44
Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Priyadarsini Samal, Mohammad Farukh Hashmi
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 23
From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications
Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, et al.
Brain Sciences (2025) Vol. 15, Iss. 3, pp. 220-220
Open Access | Times Cited: 2
Review on Emotion Recognition Based on Electroencephalography
Haoran Liu, Ying Zhang, Yujun Li, et al.
Frontiers in Computational Neuroscience (2021) Vol. 15
Open Access | Times Cited: 94
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: 82
Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity
Tanoy Debnath, Md. Mahfuz Reza, Anichur Rahman, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 58
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: 51
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: 38
Emotion recognition framework using multiple modalities for an effective human–computer interaction
Anam Moin, Farhan Aadil, Zeeshan Ali, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 8, pp. 9320-9349
Closed Access | Times Cited: 35
EEG-based emotion recognition using MobileNet Recurrent Neural Network with time-frequency features
Divya Garg, Gyanendra K. Verma, Awadhesh Kumar Singh
Applied Soft Computing (2024) Vol. 154, pp. 111338-111338
Closed Access | Times Cited: 11
Embedded EEG Feature Selection for Multi-Dimension Emotion Recognition via Local and Global Label Relevance
Xueyuan Xu, Fulin Wei, Tianyuan Jia, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 514-526
Open Access | Times Cited: 9
EEG-based detection of emotional valence towards a reproducible measurement of emotions
Andrea Apicella, Pasquale Arpaïa, Giovanna Mastrati, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 50
Deep Learning Methods for Multi-Channel EEG-Based Emotion Recognition
Ali Olamat, Pınar Özel, Sema Atasever
International Journal of Neural Systems (2022) Vol. 32, Iss. 05
Closed Access | Times Cited: 34
A multiple frequency bands parallel spatial–temporal 3D deep residual learning framework for EEG-based emotion recognition
Minmin Miao, Longxin Zheng, Baoguo Xu, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104141-104141
Closed Access | Times Cited: 34
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
Deep Learning Model With Adaptive Regularization for EEG-Based Emotion Recognition Using Temporal and Frequency Features
Alireza Samavat, Ebrahim Khalili, Bentolhoda Ayati, et al.
IEEE Access (2022) Vol. 10, pp. 24520-24527
Open Access | Times Cited: 32
Deep learning in neuroimaging data analysis: Applications, challenges, and solutions
Lev Kiar Avberšek, Grega Repovš
Frontiers in Neuroimaging (2022) Vol. 1
Open Access | Times Cited: 29
Fine-Grained Interpretability for EEG Emotion Recognition: Concat-Aided Grad-CAM and Systematic Brain Functional Network
Bingxiu Liu, Jifeng Guo, C. L. Philip Chen, et al.
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 2, pp. 671-684
Closed Access | Times Cited: 22
An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea
Fernando Vaquerizo-Villar, Gonzalo C. Gutiérrez‐Tobal, E. Calvo, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107419-107419
Open Access | Times Cited: 18
Page 1 - Next Page

Scroll to top