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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:

EEG-Based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning
Chang Li, Xuejuan Lin, Yü Liu, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 20, pp. 19608-19619
Closed Access | Times Cited: 24

Showing 24 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: 79
TC-Net: A Transformer Capsule Network for EEG-based emotion recognition
Yi Wei, Yü Liu, Chang Li, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106463-106463
Closed Access | Times Cited: 63
CMLP-Net: A convolution-multilayer perceptron network for EEG-based emotion recognition
K. Lu, Zhihao Gu, Fei Qi, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106620-106620
Closed Access | Times Cited: 9
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 | Times Cited: 1
A systematic literature review of emotion recognition using EEG signals
Dwi Wahyu Prabowo, Hanung Adi Nugroho, Noor Akhmad Setiawan, et al.
Cognitive Systems Research (2023) Vol. 82, pp. 101152-101152
Closed Access | Times Cited: 20
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: 8
Emotion Recognition via Multiscale Feature Fusion Network and Attention Mechanism
Yiye Jiang, Songyun Xie, Xinzhou Xie, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 10, pp. 10790-10800
Closed Access | Times Cited: 16
A Segmentation-Denoising Network for Artifact Removal From Single-Channel EEG
Y.Z. Li, Aiping Liu, Yin Jin, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 15115-15127
Closed Access | Times Cited: 14
TPRO-NET: an EEG-based emotion recognition method reflecting subtle changes in emotion
Xinyi Zhang, Xiankai Cheng, Hui Liu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
A Complexity Theory-Based Novel AI Algorithm for Exploring Emotions and Affections by Utilizing Artificial Neurotransmitters
Gerardo Iovane, Raffaella Di Pasquale
Electronics (2025) Vol. 14, Iss. 6, pp. 1093-1093
Open Access
Multi-source domain separation adversarial domain adaptation for EEG emotion recognition
Qingsong Ai, Chenhuan Wang, Kun Chen, et al.
Biomedical Signal Processing and Control (2025) Vol. 109, pp. 108016-108016
Closed Access
An innovative EEG-based emotion recognition using a single channel-specific feature from the brain rhythm code method
Jiawen Li, Di Lin, Yan Che, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 9
A Hybrid Critical Channel Selection Framework for EEG Emotion Recognition
Gangguo Qu, Fei Wang, Jinying Bi, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 14881-14893
Closed Access | Times Cited: 3
Self-supervised contrastive learning for EEG-based cross-subject motor imagery recognition
Wenjie Li, Haoyu Li, Xinlin Sun, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 2, pp. 026038-026038
Open Access | Times Cited: 3
End-to-end model for automatic seizure detection using supervised contrastive learning
Haotian Li, Xingchen Dong, Xiangwen Zhong, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108665-108665
Closed Access | Times Cited: 3
A bidirectional interaction-based hybrid network architecture for EEG cognitive recognition
Yue Zhao, Hong Zeng, Haohao Zheng, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 238, pp. 107593-107593
Closed Access | Times Cited: 6
A Random Forest Weights and 4-Dimensional Convolutional Recurrent Neural Network for EEG Based Emotion Recognition
Wenxu Wang, Jia Yang, Shengjia Li, et al.
IEEE Access (2024) Vol. 12, pp. 39549-39563
Open Access | Times Cited: 1
A novel variational nonlinear chirp mode decomposition-based critical brain-region investigation for automatic emotion recognition
Kranti S. Kamble, Joydeep Sengupta
Applied Acoustics (2023) Vol. 213, pp. 109620-109620
Closed Access | Times Cited: 1
Decoding EEG Signals Both During and After Offset of Small and Short-Time Visual Target Stimulus
Jae‐Hyun Kim, Sungu Nam, Sangjin Jang, et al.
(2024), pp. 1-4
Closed Access
A Transformer Framework Based on Self-Supervised Contrastive Learning for EEG-based Emotion Recognition
Haolun Wen, Tianyou Yu
(2024), pp. 313-317
Closed Access
Multi-Source Domain Separation Adversarial Domain Adaptation for Eeg Emotion Recognition
Qingsong Ai, Chenhuan Wang, Kun Chen, et al.
(2024)
Closed Access
GC-STCL: A Granger Causality-Based Spatial–Temporal Contrastive Learning Framework for EEG Emotion Recognition
Lei Wang, Siming Wang, Bo Jin, et al.
Entropy (2024) Vol. 26, Iss. 7, pp. 540-540
Open Access
Coarse-to-Fine Domain Adaptation for Cross-Subject EEG Emotion Recognition with Contrastive Learning
Shuang Ran, Zhong Wei, Fei Hu, et al.
Lecture notes in computer science (2024), pp. 406-419
Closed Access
EEG Emotion Recognition Supervised by Temporal Features of Video Stimuli
Shuang Ran, Wei Zhong, Dan-Ting Duan, et al.
(2024), pp. 1-7
Closed Access
VG-DOCoT: a novel DO-Conv and transformer framework via VAE-GAN technique for EEG emotion recognition
Yanping Zhu, Lei Huang, Jixin Chen, et al.
Frontiers of Information Technology & Electronic Engineering (2024) Vol. 25, Iss. 11, pp. 1497-1514
Closed Access
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