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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:

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: 124

Showing 1-25 of 124 citing articles:

Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review
Essam H. Houssein, Asmaa Hammad, Abdelmgeid A. Ali
Neural Computing and Applications (2022) Vol. 34, Iss. 15, pp. 12527-12557
Open Access | Times Cited: 211
Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques
Ahmad Chaddad, Yihang Wu, Reem Kateb, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6434-6434
Open Access | Times Cited: 90
EEG-based emotion recognition using hybrid CNN and LSTM classification
Bhuvaneshwari Chakravarthi, Sin-Chun Ng, M. R. Ezilarasan, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 77
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: 54
Status of deep learning for EEG-based brain–computer interface applications
Khondoker Murad Hossain, Md. Ariful Islam, Shahera Hossain, et al.
Frontiers in Computational Neuroscience (2023) Vol. 16
Open Access | Times Cited: 46
Exploring Convolutional Neural Network Architectures for EEG Feature Extraction
Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 877-877
Open Access | Times Cited: 22
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: 22
A comprehensive review of research on indoor cognitive performance using electroencephalogram technology
Nan Zhang, Chao Liu, Jiaxin Li, et al.
Building and Environment (2024) Vol. 257, pp. 111555-111555
Closed Access | Times Cited: 19
EEG emotion recognition based on TQWT-features and hybrid convolutional recurrent neural network
Mei-yu Zhong, Yang Qing-yu, Yi Liu, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104211-104211
Closed Access | Times Cited: 42
A CNN-LSTM-Based Hybrid Deep Learning Approach for Sentiment Analysis on Monkeypox Tweets
Krishna Kumar Mohbey, Gaurav Meena, Sunil Kumar, et al.
New Generation Computing (2023) Vol. 42, Iss. 1, pp. 89-107
Closed Access | Times Cited: 36
Customized 2D CNN Model for the Automatic Emotion Recognition Based on EEG Signals
Farzad Baradaran, Ali Farzan, Sebelan Danishvar, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2232-2232
Open Access | Times Cited: 34
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
TorchEEGEMO: A deep learning toolbox towards EEG-based emotion recognition
Zhi Zhang, Sheng-hua Zhong, Yan Liu
Expert Systems with Applications (2024) Vol. 249, pp. 123550-123550
Closed Access | Times Cited: 8
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: 48
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
Machine learning techniques for electroencephalogram based brain-computer interface: A systematic literature review
Pawan Pawan, Rohtash Dhiman
Measurement Sensors (2023) Vol. 28, pp. 100823-100823
Open Access | Times Cited: 17
Adaptive neuro-fuzzy based hybrid classification model for emotion recognition from EEG signals
Fatma Kebire Bardak, Muhammet Nuri Seyman, Feyzullah Temurtaş
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 9189-9202
Open Access | Times Cited: 5
AFLEMP: Attention-based Federated Learning for Emotion recognition using Multi-modal Physiological data
Neha Gahlan, Divyashikha Sethia
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106353-106353
Closed Access | Times Cited: 5
Effective affective EEG-based indicators in emotion-evoking VR environments: an evidence from machine learning
Ivonne Angélica Castiblanco Jiménez, Elena Carlotta Olivetti, Enrico Vezzetti, et al.
Neural Computing and Applications (2024)
Open Access | Times Cited: 5
Personalised Affective Classification Through Enhanced EEG Signal Analysis
Joseph Barrowclough, Nonso Nnamoko, Ioannis Korkontzelos
Applied Artificial Intelligence (2025) Vol. 39, Iss. 1
Open Access
An enhanced deep learning model based on smoothed pseudo Wigner-Ville distribution technique for emotion recognition with channel selection
Muharrem Çelebi, Sıtkı Öztürk, Kaplan Kaplan
Ain Shams Engineering Journal (2025) Vol. 16, Iss. 2, pp. 103264-103264
Closed Access
Research on citrus leaf disease detection based on improved SEDS-YOLOv8 model with efficient multi-scale attention and multi-level channel compression
H. Wang, Yongwei Wang, Junyi Liu, et al.
(2025), pp. 38-54
Closed Access
Artificial Intelligence-Driven Multidirectional Curvelet Analysis for Enganced Skin Cancer Detection
Abdul Razak Mohamed Sikkander, V. V. Lakshmi, G. Theivanathan, et al.
(2025)
Closed Access
Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers
Camilo E. Valderrama, Anshul Sheoran
Frontiers in Psychiatry (2025) Vol. 16
Open Access
Understanding How Negative Emotions Affect Hazard Assessment Abilities in Construction: Insights from Wearable EEG and the Moderating Role of Psychological Capital
Dan Chong, Steve M. Liao, Mingjie Xu, et al.
Brain Sciences (2025) Vol. 15, Iss. 2, pp. 190-190
Open Access
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