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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:

An approach to EEG-based emotion recognition using combined feature extraction method
Yong Zhang, Xiaomin Ji, Suhua Zhang
Neuroscience Letters (2016) Vol. 633, pp. 152-157
Closed Access | Times Cited: 149

Showing 1-25 of 149 citing articles:

Emotions Recognition Using EEG Signals: A Survey
Soraia M. Alarcão, Manuel J. Fonseca
IEEE Transactions on Affective Computing (2017) Vol. 10, Iss. 3, pp. 374-393
Closed Access | Times Cited: 889
Review and Classification of Emotion Recognition Based on EEG Brain-Computer Interface System Research: A Systematic Review
Abeer Al-Nafjan, Manar Hosny, Yousef Al-Ohali, et al.
Applied Sciences (2017) Vol. 7, Iss. 12, pp. 1239-1239
Open Access | Times Cited: 249
EEG-Based Emotion Recognition using 3D Convolutional Neural Networks
Elham S. Salama, Reda A. El-Khoribi, Mahmoud Shoman, et al.
International Journal of Advanced Computer Science and Applications (2018) Vol. 9, Iss. 8
Open Access | Times Cited: 227
Comparison of different feature extraction methods for EEG-based emotion recognition
Rab Nawaz, Kit Hwa Cheah, Humaira Nisar, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 3, pp. 910-926
Closed Access | Times Cited: 168
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques
Md. Rabiul Islam, Mohammad Ali Moni, Md. Milon Islam, et al.
IEEE Access (2021) Vol. 9, pp. 94601-94624
Open Access | Times Cited: 134
EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier
Abdülhamit Subaşı, Türker Tuncer, Şengül Doğan, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102648-102648
Open Access | Times Cited: 130
Review of the emotional feature extraction and classification using EEG signals
Jiang Wang, Mei Wang
Cognitive Robotics (2021) Vol. 1, pp. 29-40
Open Access | Times Cited: 128
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
A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence
Raveendrababu Vempati, Lakhan Dev Sharma
Results in Engineering (2023) Vol. 18, pp. 101027-101027
Open Access | Times Cited: 45
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: 23
Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination
Zhong Yin, Yongxiong Wang, Li Liu, et al.
Frontiers in Neurorobotics (2017) Vol. 11
Open Access | Times Cited: 145
A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition
Beatriz García-Martínez, Arturo Martínez‐Rodrigo, Raúl Alcaraz, et al.
IEEE Transactions on Affective Computing (2019) Vol. 12, Iss. 3, pp. 801-820
Closed Access | Times Cited: 112
Emotion recognition from single-channel EEG signals using a two-stage correlation and instantaneous frequency-based filtering method
Sachin Taran, Varun Bajaj
Computer Methods and Programs in Biomedicine (2019) Vol. 173, pp. 157-165
Closed Access | Times Cited: 99
A new fractal pattern feature generation function based emotion recognition method using EEG
Türker Tuncer, Şengül Doğan, Abdülhamit Subaşı
Chaos Solitons & Fractals (2021) Vol. 144, pp. 110671-110671
Closed Access | Times Cited: 92
Deep Learning Classification of Neuro-Emotional Phase Domain Complexity Levels Induced by Affective Video Film Clips
Serap Aydın
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 6, pp. 1695-1702
Closed Access | Times Cited: 78
PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition
Abdullah Dogan, Merve Akay, Prabal Datta Barua, et al.
Computers in Biology and Medicine (2021) Vol. 138, pp. 104867-104867
Closed Access | Times Cited: 78
EEG-based human emotion recognition using entropy as a feature extraction measure
Pragati Patel, R Raghunandan, Ramesh Naidu Annavarapu
Brain Informatics (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 78
Exploring Deep Learning Features for Automatic Classification of Human Emotion Using EEG Rhythms
Fatih Demir, Nebras Sobahi, Siuly Siuly, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 13, pp. 14923-14930
Closed Access | Times Cited: 75
Adaptive Tunable Q Wavelet Transform-Based Emotion Identification
Smith K. Khare, Varun Bajaj, G. R. Sinha
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 69, Iss. 12, pp. 9609-9617
Closed Access | Times Cited: 73
Emotional EEG classification using connectivity features and convolutional neural networks
Seong-Eun Moon, Chun-Jui Chen, Cho‐Jui Hsieh, et al.
Neural Networks (2020) Vol. 132, pp. 96-107
Open Access | Times Cited: 72
EEG-based emotion recognition with deep convolutional neural networks
Mehmet Akif Özdemir, Mürşide Değirmenci, Elif İzci, et al.
Biomedical Engineering / Biomedizinische Technik (2020) Vol. 66, Iss. 1, pp. 43-57
Closed Access | Times Cited: 72
Emotion recognition based on convolutional neural networks and heterogeneous bio-signal data sources
Wang Kay Ngai, Haoran Xie, Di Zou, et al.
Information Fusion (2021) Vol. 77, pp. 107-117
Closed Access | Times Cited: 62
Emotion recognition using effective connectivity and pre-trained convolutional neural networks in EEG signals
Sara Bagherzadeh, Keivan Maghooli, Ahmad Shalbaf, et al.
Cognitive Neurodynamics (2022) Vol. 16, Iss. 5, pp. 1087-1106
Open Access | Times Cited: 41
A Review on EEG Signals Based Emotion Recognition
Morteza Zangeneh Soroush, Keivan Maghooli, Seyed Kamaledin Setarehdan, et al.
International Clinical Neuroscience Journal (2017) Vol. 4, Iss. 4, pp. 118-129
Open Access | Times Cited: 82
EEG Emotion Recognition Based on Graph Regularized Sparse Linear Regression
Yang Li, Wenming Zheng, Zhen Cui, et al.
Neural Processing Letters (2018) Vol. 49, Iss. 2, pp. 555-571
Closed Access | Times Cited: 78
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