Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 affective state recognition from human brain signals by using Hjorth-activity
Raja Majid Mehmood, Muhammad Bilal, S. Vimal, et al.
Measurement (2022) Vol. 202, pp. 111738-111738
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

EEG emotion recognition using attention-based convolutional transformer neural network
Linlin Gong, Mingyang Li, Tao Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104835-104835
Closed Access | Times Cited: 56
Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks
Cunbo Li, Peiyang Li, Yangsong Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 10258-10272
Closed Access | Times Cited: 40
Failure analysis in predictive maintenance: Belt drive diagnostics with expert systems and Taguchi method for unconventional vibration features
Ahmed Adnan Shandookh, Ahmed Ali Farhan Ogaili, Luttfi A. Al-Haddad
Heliyon (2024) Vol. 10, Iss. 13, pp. e34202-e34202
Open Access | Times Cited: 12
Decoding emotion with phase–amplitude fusion features of EEG functional connectivity network
Liangliang Hu, Congming Tan, Jiayang Xu, et al.
Neural Networks (2024) Vol. 172, pp. 106148-106148
Closed Access | Times Cited: 8
Advancing biomedical engineering: Leveraging Hjorth features for electroencephalography signal analysis
Wissam H. Alawee, Ali Basem, Luttfi A. Al-Haddad
Journal of Electrical Bioimpedance (2023) Vol. 14, Iss. 1, pp. 66-72
Open Access | Times Cited: 16
A Comparative Study on Prominent Connectivity Features for Emotion Recognition From EEG
Mahfuza Akter Maria, M. A. H. Akhand, A. B. M. Aowlad Hossain, et al.
IEEE Access (2023) Vol. 11, pp. 37809-37831
Open Access | Times Cited: 12
FCAN–XGBoost: A Novel Hybrid Model for EEG Emotion Recognition
Jing Zong, Xin Xiong, Jianhua Zhou, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5680-5680
Open Access | Times Cited: 12
Improved EEG-based emotion recognition through information enhancement in connectivity feature map
M. A. H. Akhand, Mahfuza Akter Maria, Md Abdus Samad Kamal, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
An Attention-Based Multi-Domain Bi-Hemisphere Discrepancy Feature Fusion Model for EEG Emotion Recognition
Linlin Gong, Wanzhong Chen, Dingguo Zhang
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 5890-5903
Closed Access | Times Cited: 4
An EEG-Based Emotion Recognition Method by Fusing Multi-Frequency-Spatial Features Under Multi-Frequency Bands
Qiuyu Chen, Xiaoqian Mao, Yuebin Song, et al.
Journal of Neuroscience Methods (2025) Vol. 415, pp. 110360-110360
Closed Access
Automated biomedical measurements analysis: Innovative models based on machine learning for predicting laboratory results in nephrology
Dawid Pawuś, Tomasz Porażko, Szczepan Paszkiel
Expert Systems with Applications (2025), pp. 126568-126568
Closed Access
Automation and Decision Support in Nephrology: An Expert System Based on AI and ML for the Assessment, Treatment, and Management of Focal Segmental Glomerulosclerosis
Dawid Pawuś, Tomasz Porażko, Szczepan Paszkiel
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1044-1044
Open Access
An efficient deep learning approach for automatic speech recognition using EEG signals
Babu Chinta, Madhuri Pampana, M. Moorthi
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-21
Closed Access
Structural Investigations of Multi-Reservoir Echo State Networks for EEG-Based Emotion Classification
Yang Liu, Ruiqi Liang, Shengyuan Xu, et al.
Neurocomputing (2025), pp. 129856-129856
Closed Access
EEG Signal Analysis Using AI Model to Track Brain Activity
G. Ganesan, S. Poonkuntran
Smart innovation, systems and technologies (2025), pp. 705-717
Closed Access
Electroencephalogram-based floor vibration serviceability evaluation using convolutional neural network and ensemble learning
Jiang Li, Xuhong Zhou, Jiepeng Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110806-110806
Closed Access
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
The Effect of Stress on a Personal Identification System Based on Electroencephalographic Signals
Eman A. Abdel-Ghaffar, May Salama
Sensors (2024) Vol. 24, Iss. 13, pp. 4167-4167
Open Access | Times Cited: 2
Sleep stages detection based on analysis and optimisation of non-linear brain signal parameters
Abdeljalil El Hadiri, Lhoussain Bahatti, Abdelmounime El Magri, et al.
Results in Engineering (2024) Vol. 23, pp. 102664-102664
Open Access | Times Cited: 2
A design of bat-based optimized deep learning model for EEG signal analysis
Varun Gupta, Abhas Kanungo, Pankaj Kumar, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 29, pp. 45367-45387
Closed Access | Times Cited: 5
EEG based emotion recognition by hierarchical bayesian spectral regression framework
Lei Yang, Qi Tang, Zhaojin Chen, et al.
Journal of Neuroscience Methods (2023) Vol. 402, pp. 110015-110015
Closed Access | Times Cited: 5
Electroencephalogram based human emotion classification for valence and arousal using machine learning approach
Abhishek Chunawale, Mangesh Bedekar
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 2, pp. 920-920
Open Access | Times Cited: 1
Efficient Decoding of Affective States from Video-elicited EEG Signals: An Empirical Investigation
Kayhan Latifzadeh, Nima Gozalpour, V. Javier Traver, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2024) Vol. 20, Iss. 10, pp. 1-24
Open Access | Times Cited: 1
DETECTION OF PRETERM BIRTH FROM THE NONCONTRACTION SEGMENTS OF UTERINE EMG USING HJORTH PARAMETERS AND SUPPORT VECTOR MACHINE
VINOTHINI SELVARAJU, P. A. KARTHICK, Ramakrishnan Swaminathan
Journal of Mechanics in Medicine and Biology (2023) Vol. 23, Iss. 06
Closed Access | Times Cited: 2
Human behavior in free search online shopping scenarios can be predicted from EEG activation using Hjorth parameters
Ninja K. Horr, Bijan Mousavi, Keren Han, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top