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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:

Expression EEG Multimodal Emotion Recognition Method Based on the Bidirectional LSTM and Attention Mechanism
Yifeng Zhao, Deyun Chen
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 25

Showing 25 citing articles:

EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism
Lin Feng, Cheng Cheng, Mingyan Zhao, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 11, pp. 5406-5417
Closed Access | Times Cited: 77
Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations
Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 456-456
Open Access | Times Cited: 4
Enhanced multimodal emotion recognition in healthcare analytics: A deep learning based model-level fusion approach
Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106241-106241
Closed Access | Times Cited: 9
Deep BiLSTM neural network model for emotion detection using cross-dataset approach
Vaishali M. Joshi, Rajesh Ghongade, Aditi Joshi, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103407-103407
Closed Access | Times Cited: 45
A Bimodal Emotion Recognition Approach through the Fusion of Electroencephalography and Facial Sequences
Farah Muhammad, Muhammad Hussain, Hatim Aboalsamh
Diagnostics (2023) Vol. 13, Iss. 5, pp. 977-977
Open Access | Times Cited: 18
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: 15
The Analysis of Emotion-Aware Personalized Recommendations via Multimodal Data Fusion in the Field of Art
Taiyu Xiu, Yin Sun, Xuan Zhang, et al.
Journal of Organizational and End User Computing (2025) Vol. 37, Iss. 1, pp. 1-29
Open Access
Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition
Cheng Cheng, Yong Zhang, Luyao Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 3, pp. 1342-1353
Closed Access | Times Cited: 11
Hybrid multi-modal emotion recognition framework based on InceptionV3DenseNet
Fakir Mashuque Alamgir, Mohammad Shafiul Alam
Multimedia Tools and Applications (2023) Vol. 82, Iss. 26, pp. 40375-40402
Closed Access | Times Cited: 6
Machine Learning Techniques for Real-Time Emotion Detection from Facial Expressions
Akshita Sharma, Vriddhi Bajaj, Jatin Arora
(2023) Vol. 20, pp. 1-6
Closed Access | Times Cited: 5
Multimodal Human-Exoskeleton Interface for Lower Limb Movement Prediction Through a Dense Co-Attention Symmetric Mechanism
Kecheng Shi, Fengjun Mu, Rui Huang, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 8
Deep Hunting Social Optimization Algorithm Enabled Deep Neuro Fuzzy Network for Facial Expression Recognition
K Komala, D. Jayadevappa, Manjunatha Manjunatha AP
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
A novel multimodal EEG-image fusion approach for emotion recognition: introducing a multimodal KMED dataset
Bahar Hatipoğlu Yılmqz, Cemal Köse, Çağatay Murat Yılmaz
Neural Computing and Applications (2024)
Closed Access | Times Cited: 1
A Survey of Deep Learning-based Facial Expression Recognition Research
Chengxu Liang, Jianshe Dong
Frontiers in Computing and Intelligent Systems (2023) Vol. 5, Iss. 2, pp. 56-60
Open Access | Times Cited: 2
Decoding Emotions: Integrating EEG Signals and Facial Expressions for Advanced Multimodal Emotion Recognition
Khouloud Moussaoui, Mohamed Farah
(2024), pp. 530-535
Closed Access
Differentially Private Multimodal Laplacian Dropout (Dp-Mld) for Eeg Representative Learning
Xiaowen Fu, Bingxin Wang, Xinzhou Guo, et al.
(2024)
Closed Access
A MENTAL ILLNESS DETECTION MODEL FOR COLLEGE STUDENTS BASED ON BODY BEHAVIOR AND FACIAL EXPRESSION FEATURES
Keke Li, Jian Yao, Chun Kai Leung, et al.
Journal of Mechanics in Medicine and Biology (2024) Vol. 24, Iss. 08
Closed Access
Hyper-Enhanced Feature Learning System for Emotion Recognition
H. Perry Fordson, Xiaofen Xing, Kailing Guo, et al.
Springer eBooks (2023), pp. 1-27
Closed Access | Times Cited: 1
EEG-based Emotion Recognition Using Multi-Dimensional Convolutional Neural LSTM via Attention Mechanism
Yuting Yang, Dongqing Wang, Yongqiang Zheng, et al.
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) (2023) Vol. 8, pp. 579-584
Closed Access | Times Cited: 1
A Systematic Literature Review of Multimodal Emotion Recognition
Yeni Dwi Rahayu, Lutfi Ali Muharrom, Ika Safitri Windiarti, et al.
Scientific Journal of Informatics (2023) Vol. 10, Iss. 2, pp. 159-176
Open Access | Times Cited: 1
Expression Identification and Emotional Classification of Students in Job Interviews Based on Image Processing
Lingling Cui, Weigong Kong, Yiming Sun, et al.
Traitement du signal (2022) Vol. 39, Iss. 2, pp. 651-658
Open Access | Times Cited: 1
Audio-Video Based Fusion Mechanism Using Deep Learning for Categorical Emotion Recognition
Himanshu Kumar, A. Martín
(2023), pp. 595-602
Closed Access
Decoding Neural Activity for Part-of-Speech Tagging (POS)
Salman Ahmed, Muskaan Singh, Saugat Bhattacharyya, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2023) Vol. 12, pp. 3079-3084
Open Access
Multimodal Emotion Recognition Based on Hybrid Fusion
Guang Yang, Deguo Yang, Jiaxin Li, et al.
(2023) Vol. 15, pp. 85-88
Closed Access
illustration of attention mechanism in LSTM algorithm for analyzing its performance
M. Bhuvaneswari, V. Lakshmi Praba
International Journal of Health Sciences (2022), pp. 9010-9023
Open Access
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