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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:

EEG-based classification of emotions using empirical mode decomposition and autoregressive model
Yong Zhang, Suhua Zhang, Xiaomin Ji
Multimedia Tools and Applications (2018) Vol. 77, Iss. 20, pp. 26697-26710
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

A survey of machine learning techniques in physiology based mental stress detection systems
Suja Sreeith Panicker, P. Gayathri
Journal of Applied Biomedicine (2019) Vol. 39, Iss. 2, pp. 444-469
Closed Access | Times Cited: 163
Recognition of human emotions using EEG signals: A review
R. Saidur, Ajay Krishno Sarkar, Md. Amzad Hossain, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104696-104696
Closed Access | Times Cited: 153
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: 136
3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition
Shuaiqi Liu, Xu Wang, Ling Zhao, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 11, pp. 5321-5331
Closed Access | Times Cited: 113
Interpretable Emotion Recognition Using EEG Signals
Chunmei Qing, Rui Qiao, Xiangmin Xu, et al.
IEEE Access (2019) Vol. 7, pp. 94160-94170
Open Access | Times Cited: 137
Emotion recognition from EEG signals using empirical mode decomposition and second-order difference plot
Nilima Salankar, Pratikshya Mishra, Lalit Garg
Biomedical Signal Processing and Control (2020) Vol. 65, pp. 102389-102389
Closed Access | Times Cited: 107
Combining Facial Expressions and Electroencephalography to Enhance Emotion Recognition
Yongrui Huang, Jianhao Yang, Siyu Liu, et al.
Future Internet (2019) Vol. 11, Iss. 5, pp. 105-105
Open Access | Times Cited: 101
An Efficient Mixture Model Approach in Brain-Machine Interface Systems for Extracting the Psychological Status of Mentally Impaired Persons Using EEG Signals
N. Murali Krishna, Kaushik Sekaran, Annepu Venkata Naga Vamsi, et al.
IEEE Access (2019) Vol. 7, pp. 77905-77914
Open Access | Times Cited: 78
Effects of Data Augmentation Method Borderline-SMOTE on Emotion Recognition of EEG Signals Based on Convolutional Neural Network
Yu Chen, Rui Chang, Jifeng Guo
IEEE Access (2021) Vol. 9, pp. 47491-47502
Open Access | Times Cited: 64
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
Design of subject independent 3D VAD emotion detection system using EEG signals and machine learning algorithms
Durgesh Nandini, Jyoti Yadav, Asha Rani, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104894-104894
Closed Access | Times Cited: 23
Subject-Independent Emotion Recognition Based on EEG Frequency Band Features and Self-Adaptive Graph Construction
Jinhao Zhang, Yanrong Hao, Xin Wen, et al.
Brain Sciences (2024) Vol. 14, Iss. 3, pp. 271-271
Open Access | Times Cited: 9
Emotion Recognition Based on Fusion of Local Cortical Activations and Dynamic Functional Networks Connectivity: An EEG Study
Fares Al-Shargie, Usman Tariq, Meera Alex, et al.
IEEE Access (2019) Vol. 7, pp. 143550-143562
Open Access | Times Cited: 55
A novel hybrid kernel function relevance vector machine for multi-task motor imagery EEG classification
Enzeng Dong, Kairui Zhou, Jigang Tong, et al.
Biomedical Signal Processing and Control (2020) Vol. 60, pp. 101991-101991
Closed Access | Times Cited: 51
Emotion Recognition of EEG Signals Based on the Ensemble Learning Method: AdaBoost
Yu Chen, Rui Chang, Jifeng Guo
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 34
Emotion recognition in EEG signals using the continuous wavelet transform and CNNs
Oscar Almanza-Conejo, Dora-Luz Almanza-Ojeda, Jose Luis Contreras-Hernandez, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 2, pp. 1409-1422
Closed Access | Times Cited: 27
Extended ICA and M-CSP with BiLSTM towards improved classification of EEG signals
Atta Ur Rahman, Abdallah Tubaishat, Feras Al‐Obeidat, et al.
Soft Computing (2022) Vol. 26, Iss. 20, pp. 10687-10698
Closed Access | Times Cited: 21
Neuroscience meets building: A comprehensive review of electroencephalogram applications in building life cycle
Qiuwen Sun, Dan Xu, Peiyu Xu, et al.
Journal of Building Engineering (2024) Vol. 85, pp. 108707-108707
Closed Access | Times Cited: 4
Normal Inverse Gaussian Features for EEG-Based Automatic Emotion Recognition
Nalini Pusarla, Anurag Singh, Shrivishal Tripathi
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 18
A novel feature extraction method using chemosensory EEG for Parkinson's disease classification
Begüm Kara Gülay, Neslihan Demirel, Alper Vahaplar, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104147-104147
Closed Access | Times Cited: 17
A Survey on EEG Data Analysis Software
Rupak Kumar Das, Anna Lisa Martin‐Niedecken, Tom Zurales, et al.
Sci (2023) Vol. 5, Iss. 2, pp. 23-23
Open Access | Times Cited: 10
Emotion recognition using VMD domain bandwidth and spectral features
Avinash Vujji, Nalini Pusarla, Anurag Singh, et al.
International Journal of Information Technology (2025)
Closed Access
Emotion Recognition with Machine Learning Using EEG Signals
Omid Bazgir, Zeynab Mohammadi, Seyed Amir Hassan Habibi
(2018), pp. 1-5
Open Access | Times Cited: 31
Affective brain-computer interfaces: Choosing a meaningful performance measuring metric
Md Rakibul Mowla, Rachael I. Cano, Katie J. Dhuyvetter, et al.
Computers in Biology and Medicine (2020) Vol. 126, pp. 104001-104001
Open Access | Times Cited: 22
A new evolutionary preprocessing approach for classification of mental arithmetic based EEG signals
Ebru Ergün, Önder Aydemir
Cognitive Neurodynamics (2020) Vol. 14, Iss. 5, pp. 609-617
Open Access | Times Cited: 19
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