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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:

A comprehensive survey on emotion recognition based on electroencephalograph (EEG) signals
Kranti S. Kamble, Joydeep Sengupta
Multimedia Tools and Applications (2023) Vol. 82, Iss. 18, pp. 27269-27304
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

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: 116
Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions
Geetha Vijayaraghavan, T. Mala, Das P, et al.
Information Fusion (2023) Vol. 105, pp. 102218-102218
Closed Access | Times Cited: 51
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: 21
Review of EEG-Based Biometrics in 5G-IoT: Current Trends and Future Prospects
Taha Beyrouthy, Nour Mostafa, Ahmed Roshdy, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 534-534
Open Access | Times Cited: 9
An emotion recognition method based on EWT-3D–CNN–BiLSTM-GRU-AT model
Muharrem Çelebi, Sıtkı Öztürk, Kaplan Kaplan
Computers in Biology and Medicine (2024) Vol. 169, pp. 107954-107954
Closed Access | Times Cited: 8
Recent Advances of Biosensors for Detection of Multiple Antibiotics
Ning Lu, Juntao Chen, Zhikang Rao, et al.
Biosensors (2023) Vol. 13, Iss. 9, pp. 850-850
Open Access | Times Cited: 20
Emotion recognition with EEG-based brain-computer interfaces: a systematic literature review
Kübra Erat, Elif Bilge Şahin, Furkan Doğan, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 33, pp. 79647-79694
Open Access | Times Cited: 6
Metaheuristic optimized time–frequency features for enhancing Alzheimer’s disease identification
Digambar Puri, Pramod Kachare, Sanjay L. Nalbalwar
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106244-106244
Closed Access | Times Cited: 6
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: 5
A fine-grained hemispheric asymmetry network for accurate and interpretable EEG-based emotion classification
Ruofan Yan, Na Lü, Yuxuan Yan, et al.
Neural Networks (2025) Vol. 184, pp. 107127-107127
Open Access
EEG based stereo vision assessment method using random dot stereograms with various motion patterns
Tingting Zhang, Yan Xu, Wei Zhou, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107531-107531
Closed Access
EEG sentiment analysis model based on deep learning framework and interaction design theory
Li Wang, Jungwook Go, Xiang Chen
Journal of Mechanics in Medicine and Biology (2025)
Closed Access
Computer Interactive Intelligent Music Therapy Assisted Student Mental Health Information Processing in Life Sciences
Yang Fang
SLAS TECHNOLOGY (2025), pp. 100269-100269
Open Access
EEG emotion recognition based on efficient-capsule network with convolutional attention
Wei Tang, LongQing Fan, Xuefen Lin, et al.
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107473-107473
Closed Access
Electroencephalogram Based Emotion Recognition Using Hybrid Intelligent Method and Discrete Wavelet Transform
Duy Nguyen, M.T. Nguyen, Kou Yamada
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2328-2328
Open Access
S-LSTM-ATT: a hybrid deep learning approach with optimized features for emotion recognition in electroencephalogram
Abgeena Abgeena, Shruti Garg
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Closed Access | Times Cited: 11
A novel optimal wavelet filter banks for automated diagnosis of Alzheimer’s disease and mild cognitive impairment using Electroencephalogram signals
Digambar Puri, Jayanand P. Gawande, Jaswantsing L. Rajput, et al.
Decision Analytics Journal (2023) Vol. 9, pp. 100336-100336
Open Access | Times Cited: 11
Study on Driver Cross-Subject Emotion Recognition Based on Raw Multi-Channels EEG Data
Zhirong Wang, Ming Chen, Guofu Feng
Electronics (2023) Vol. 12, Iss. 11, pp. 2359-2359
Open Access | Times Cited: 8
EVNCERS: An Integrated Eigenvector Centrality-Variational Nonlinear Chirp Mode Decomposition-Based EEG Rhythm Separation for Automatic Emotion Recognition
Kranti S. Kamble, Joydeep Sengupta
IEEE Sensors Journal (2023) Vol. 23, Iss. 18, pp. 21661-21669
Closed Access | Times Cited: 8
Attention-based Temporal Graph Representation Learning for EEG-based Emotion Recognition
Chao Li, Feng Wang, Ziping Zhao, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 5755-5767
Closed Access | Times Cited: 2
EEG-based emotion recognition systems; comprehensive study
Hussein Ali Hamzah, Kasim K. Abdalla
Heliyon (2024) Vol. 10, Iss. 10, pp. e31485-e31485
Open Access | Times Cited: 2
Deep feature extraction from EEG signals using xception model for emotion classification
Arpan Phukan, Deepak Gupta
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 33445-33463
Closed Access | Times Cited: 6
EEG-Based Systematic Explainable Alzheimer’s Disease and Mild Cognitive Impairment Identification Using Novel Rational Dyadic Biorthogonal Wavelet Filter Banks
Digambar Puri, Sanjay L. Nalbalwar, Pallavi P. Ingle
Circuits Systems and Signal Processing (2023) Vol. 43, Iss. 3, pp. 1792-1822
Closed Access | Times Cited: 6
Multi-Channel EEG-based Multi-Class Emotion Recognition From Multiple Frequency Bands
B V S S Revanth, Sakshi Gupta, Prakhar Dubey, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 5
Optimal channel dynamic selection for Constructing lightweight Data EEG-based emotion recognition
Xiaodan Zhang, Kemeng Xu, Lu Zhang, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e30174-e30174
Open Access | Times Cited: 1
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