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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:

Synchrosqueezing transform based feature extraction from EEG signals for emotional state prediction
Pınar Özel, Aydın Akan, Bülent Yılmaz
Biomedical Signal Processing and Control (2019) Vol. 52, pp. 152-161
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Emotion Recognition From Multi-Channel EEG via Deep Forest
Juan Cheng, Meiyao Chen, Chang Li, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 2, pp. 453-464
Closed Access | Times Cited: 187
Recognizing Emotions Evoked by Music Using CNN-LSTM Networks on EEG Signals
Sobhan Sheykhivand, Zohreh Mousavi, Tohid Yousefi Rezaii, et al.
IEEE Access (2020) Vol. 8, pp. 139332-139345
Open Access | Times Cited: 116
Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals
Daksh Maheshwari, Samit Kumar Ghosh, Rajesh Kumar Tripathy, et al.
Computers in Biology and Medicine (2021) Vol. 134, pp. 104428-104428
Closed Access | Times Cited: 97
Predicting Exact Valence and Arousal Values from EEG
Filipe Miguel Dias Galvão, Soraia M. Alarcão, Manuel J. Fonseca
Sensors (2021) Vol. 21, Iss. 10, pp. 3414-3414
Open Access | Times Cited: 64
Emotion Recognition With Audio, Video, EEG, and EMG: A Dataset and Baseline Approaches
Jin Chen, Tony Ro, Zhigang Zhu
IEEE Access (2022) Vol. 10, pp. 13229-13242
Open Access | Times Cited: 42
Influence of music liking on EEG based emotion recognition
Daimi Syed Naser, Goutam Saha
Biomedical Signal Processing and Control (2020) Vol. 64, pp. 102251-102251
Closed Access | Times Cited: 65
Time–frequency signal processing: Today and future
Aydın Akan, Özlem Karabiber Cura
Digital Signal Processing (2021) Vol. 119, pp. 103216-103216
Closed Access | Times Cited: 51
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
Current state of nonlinear-type time–frequency analysis and applications to high-frequency biomedical signals
Hau‐Tieng Wu
Current Opinion in Systems Biology (2020) Vol. 23, pp. 8-21
Open Access | Times Cited: 41
EEG based classification of children with learning disabilities using shallow and deep neural network
N.P. Guhan Seshadri, Sneha Agrawal, Bikesh Kumar Singh, et al.
Biomedical Signal Processing and Control (2022) Vol. 82, pp. 104553-104553
Closed Access | Times Cited: 26
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
EEG-Based Emotion Recognition Using Convolutional Recurrent Neural Network with Multi-Head Self-Attention
Zhangfang Hu, Libujie Chen, Yuan Luo, et al.
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 11255-11255
Open Access | Times Cited: 24
TMLP+SRDANN: A domain adaptation method for EEG-based emotion recognition
Wei Li, Bowen Hou, Xiaoyu Li, et al.
Measurement (2022) Vol. 207, pp. 112379-112379
Closed Access | Times Cited: 22
Continuous emotion recognition during music listening using EEG signals: A fuzzy parallel cascades model
Fatemeh Hasanzadeh, Mohsen Annabestani, Sahar Moghimi
Applied Soft Computing (2020) Vol. 101, pp. 107028-107028
Open Access | Times Cited: 30
The challenges of emotion recognition methods based on electroencephalogram signals: a literature review
I Made Agus Wirawan, Retantyo Wardoyo, Danang Lelono
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 12, Iss. 2, pp. 1508-1508
Open Access | Times Cited: 17
sEMG signal filtering study using synchrosqueezing wavelet transform with differential evolution optimized threshold
Chuanjiang Li, Huiyin Deng, Shiyi Yin, et al.
Results in Engineering (2023) Vol. 18, pp. 101150-101150
Open Access | Times Cited: 10
Detection of coronary artery atherosclerotic disease using novel features from synchrosqueezing transform of phonocardiogram
Akanksha Pathak, Pranab Samanta, Kayapanda Mandana, et al.
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102055-102055
Closed Access | Times Cited: 25
A Comprehensive Review for Emotion Detection Based on EEG Signals: Challenges, Applications, and Open Issues
Awf Abdulrahman, Muhammet Baykara
Traitement du signal (2021) Vol. 38, Iss. 4, pp. 1189-1200
Open Access | Times Cited: 21
Music-evoked emotions classification using vision transformer in EEG signals
Dong Wang, Jian Lian, Hebin Cheng, et al.
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 2
Multiple enhanced synchrosqueezing in the time-frequency-chirprate space
Tao Chen, Lei Xie, Mingzhe Cui, et al.
Signal Processing (2024) Vol. 222, pp. 109541-109541
Closed Access | Times Cited: 2
Gated transformer network based EEG emotion recognition
Metin Bi̇lgi̇n, Ahmet Mert
Signal Image and Video Processing (2024) Vol. 18, Iss. 10, pp. 6903-6910
Closed Access | Times Cited: 2
A novel signal to image transformation and feature level fusion for multimodal emotion recognition
Bahar Hatipoglu Yilmaz, Cemal Köse
Biomedical Engineering / Biomedizinische Technik (2021) Vol. 66, Iss. 4, pp. 353-362
Closed Access | Times Cited: 16
EEG-Driven Biometric Authentication for Investigation of Fourier Synchrosqueezed Transform-ICA Robust Framework
Kutlucan Görür, Emre ÖLMEZ, Zeynep Ozer, et al.
Arabian Journal for Science and Engineering (2023) Vol. 48, Iss. 8, pp. 10901-10923
Closed Access | Times Cited: 6
Interpretable Emotion Classification Using Multidomain Feature of EEG Signals
Kunyuan Zhao, Dan Xu, Kangjian He, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 11879-11891
Closed Access | Times Cited: 6
Dynamic contraction and fatigue analysis in biceps brachii muscles using synchrosqueezed wavelet transform and singular value features
Lakshmi M. Hari, G. Venugopal, Ramakrishnan Swaminathan
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2021) Vol. 236, Iss. 2, pp. 208-217
Closed Access | Times Cited: 13
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