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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:

ScalingNet: Extracting features from raw EEG data for emotion recognition
Jingzhao Hu, Chen Wang, Qiaomei Jia, et al.
Neurocomputing (2021) Vol. 463, pp. 177-184
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

GANSER: A Self-Supervised Data Augmentation Framework for EEG-Based Emotion Recognition
Zhi Zhang, Yan Liu, Sheng-hua Zhong
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 2048-2063
Open Access | Times Cited: 63
A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods
Bei Pan, Kaoru Hirota, Zhiyang Jia, et al.
Neurocomputing (2023) Vol. 561, pp. 126866-126866
Closed Access | Times Cited: 33
Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition
Zhi Zhang, Shenghua Zhong, Yan Liu
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 9, pp. 10252-10260
Open Access | Times Cited: 8
Review of EEG Affective Recognition with a Neuroscience Perspective
Rosary Yuting Lim, Wai-Cheong Lincoln Lew, Kai Keng Ang
Brain Sciences (2024) Vol. 14, Iss. 4, pp. 364-364
Open Access | Times Cited: 7
Spatio-Temporal Image-Based Encoded Atlases for EEG Emotion Recognition
Danilo Avola, Luigi Cinque, A. Di Mambro, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 05
Open Access | Times Cited: 5
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
Deep multimodal emotion recognition using modality-aware attention and proxy-based multimodal loss
Sungpil Woo, Muhammad Zubair, Sunhwan Lim, et al.
Internet of Things (2025) Vol. 31, pp. 101562-101562
Open Access
Emotion Recognition of Subjects With Hearing Impairment Based on Fusion of Facial Expression and EEG Topographic Map
Dahua Li, Jiayin Liu, Yi Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 437-445
Open Access | Times Cited: 22
RETRACTED ARTICLE: A review of Deep Learning based methods for Affect Analysis using Physiological Signals
Divya Garg, Gyanendra K. Verma, Awadhesh Kumar Singh
Multimedia Tools and Applications (2023) Vol. 82, Iss. 17, pp. 26089-26134
Closed Access | Times Cited: 13
Emotion recognition using hierarchical spatial-temporal learning transformer from regional to global brain
Cheng Cheng, Wenzhe Liu, Lin Feng, et al.
Neural Networks (2024) Vol. 179, pp. 106624-106624
Closed Access | Times Cited: 4
Electroencephalogram-Based Emotion Recognition: A Comparative Analysis of Supervised Machine Learning Algorithms
A. H. Prakash, Alwin Poulose
Data Science and Management (2025)
Open Access
Dynamic Stream Selection Network for Subject-Independent EEG-Based Emotion Recognition
Wei Li, Jianzhang Dong, Shuxia Liu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 12, pp. 19336-19343
Closed Access | Times Cited: 3
Human emotion recognition using Machine learning techniques based on the physiological signal
Akhilesh Kumar, Awadhesh Kumar
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107039-107039
Closed Access | Times Cited: 3
EEG-TNet: An End-To-End Brain Computer Interface Framework for Mental Workload Estimation
Chaojie Fan, Hu Jin, Shufang Huang, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 16
Online EEG-Based Emotion Prediction and Music Generation for Inducing Affective States
Kana Miyamoto, Hiroki Tanaka, Satoshi Nakamura
IEICE Transactions on Information and Systems (2022) Vol. E105.D, Iss. 5, pp. 1050-1063
Open Access | Times Cited: 12
GJFusion: A Channel-Level Correlation Construction Method for Multimodal Physiological Signal Fusion
Wuliang Huang, Yiqiang Chen, Xinlong Jiang, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2023) Vol. 20, Iss. 2, pp. 1-23
Open Access | Times Cited: 7
A Comprehensive Interaction in Multiscale Multichannel EEG Signals for Emotion Recognition
Yiquan Guo, Bowen Zhang, Xiaomao Fan, et al.
Mathematics (2024) Vol. 12, Iss. 8, pp. 1180-1180
Open Access | Times Cited: 2
MS-FTSCNN: An EEG emotion recognition method from the combination of multi-domain features
Feifei Li, Kuangrong Hao, Bing Wei, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105690-105690
Closed Access | Times Cited: 6
A deep learning approach for decoding visually imagined digits and letters using time–frequency–spatial representation of EEG signals
Rami Alazrai, Motaz Abuhijleh, Mostafa Z. Ali, et al.
Expert Systems with Applications (2022) Vol. 203, pp. 117417-117417
Closed Access | Times Cited: 9
Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition
Yihan Wu, Min Xia, Li Nie, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106002-106002
Open Access | Times Cited: 9
Tri-model classifiers for EEG based mental task classification: hybrid optimization assisted framework
Awwab Mohammad, Farheen Siddiqui, M. Afshar Alam, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Channel Semantic Enhancement-Based Emotional Recognition Method Using SCLE-2D-CNN
Dandan Fu, Weisi Yang, Li Pan
International Journal on Semantic Web and Information Systems (2024) Vol. 20, Iss. 1, pp. 1-22
Open Access | Times Cited: 1
EEG-based emotion classification Model: Combined model with improved score level fusion
Deepthi Kulkarni, Vaibhav V. Dixit
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106352-106352
Closed Access | Times Cited: 1
Improving EEG signal-based emotion recognition using a hybrid GWO-XGBoost feature selection method
Hanie Asemi, Nacer Farajzadeh
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106795-106795
Closed Access | Times Cited: 1
EEG-based emotional valence and emotion regulation classification: a data-centric and explainable approach
Linda Fiorini, Francesco Bossi, Francesco Di Gruttola
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
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