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:

Subject independent emotion recognition using EEG signals employing attention driven neural networks
Arjun, Aniket Singh Rajpoot, Mahesh Raveendranatha Panicker
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103547-103547
Open Access | Times Cited: 78

Showing 51-75 of 78 citing articles:

PSD-CNN Approach for Subject Independent Dementia Recognition from EEG Signals
Supavit Kongwudhikunakorn, Suktipol Kiatthaveephong, Kamonwan Thanontip, et al.
(2024), pp. 588-594
Closed Access
Emotion Recognition Model of EEG Signals Based on Double Attention Mechanism
Yahong Ma, Zhentao Huang, Yuyao Yang, et al.
Brain Sciences (2024) Vol. 14, Iss. 12, pp. 1289-1289
Open Access
EMOCATNET: An Efficient CNN-Based Deep Neural Architecture with Effective Channel Attention Mechanism for Emotion Recognition Using EEG Signal
Md Sultan Mahmud, Oishy Saha, Shaikh Anowarul Fattah
Research Square (Research Square) (2022)
Open Access | Times Cited: 3
A Computerized Approach for Emotion Recognition from EEG Signals Using Gazelle-Whale Optimization and Attention-Based Improved DCNN-BILSTM
Manoj Prasath T
International Journal of Electrical and Electronics Engineering (2024) Vol. 11, Iss. 3, pp. 209-219
Open Access
Exploring Dependence of Subject-Specific Training Strategies for EEG Based Brain-Computer Interfaces
T. Warren de Wit, Vineetha Menon, Thomas P. Davis
SoutheastCon (2024), pp. 848-853
Closed Access
Advancing emotion recognition via EEG signals using a deep learning approach with ensemble model
Rajeswari Rajesh Immanuel, S Sangeetha
Journal of Intelligent & Fuzzy Systems (2024) Vol. 47, Iss. 1-2, pp. 143-154
Closed Access
Emotion detection using EEG: hybrid classification approach
Deepthi D. Kulkarni, Vaibhav A. Dixit, Shweta Shirish Deshmukh
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 35, Iss. 1, pp. 459-459
Open Access
Novel fractal pattern based features for EEG-based emotion identification
Garima Garima, Nidhi Goel, Neeru Rathee
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106505-106505
Closed Access
EF‐CorrCA: A multi‐modal EEG‐fNIRS subject independent model to assess speech quality on brain activity using correlated component analysis
Djimeli Tsamene Charly, Mathias Akong Onabid
Cognitive Computation and Systems (2024) Vol. 6, Iss. 1-3, pp. 36-48
Open Access
Generative technology for human emotion recognition: A scoping review
Fei Ma, Yucheng Yuan, Yifan Xie, et al.
Information Fusion (2024), pp. 102753-102753
Closed Access
Analyzing the Potential Contribution of a Meta-Learning Approach to Robust and Effective Subject-Independent, Emotion-Related Time Series Analysis of Bio-signals
Witesyavwirwa Vianney Kambale, Denis D’Ambrosi, Mohamed El Bahnasawi, et al.
Studies in computational intelligence (2024), pp. 139-187
Closed Access
Cognitive-Inspired Spectral Spatiotemporal Analysis for Emotion Recognition Utilizing Electroencephalography Signals
Atefeh Goshvarpour, Ateke Goshvarpour
Cognitive Computation (2024) Vol. 17, Iss. 1
Closed Access
Unravelling the Mind's Emotions: A Review of EEG-Based Emotion Detection Using Machine Learning and Deep Learning
Aishwarya Vishwakarma, Vikas Sakalle
Lecture notes in electrical engineering (2024), pp. 177-188
Closed Access
Machine Learning Approach to Recognition Human Mental State from EEG Signal
Swati Chowdhuri, Ayushi Bhargav, Ayan Kumar Panja, et al.
Studies in systems, decision and control (2024), pp. 57-75
Closed Access
CycleMVAE: Benchmarking End-to-End Cycle-Consistent Multi-Task Variational Autoencoder for EEG-Based Emotion Recognition
Kranti S. Kamble, Joydeep Sengupta
2017 IEEE Region 10 Symposium (TENSYMP) (2023), pp. 1-6
Closed Access | Times Cited: 1
Temporal shift residual network for EEG-based emotion recognition: A 3D feature image sequence approach
Yu Chen, Haopeng Zhang, Jun Long, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 45739-45759
Closed Access | Times Cited: 1
Automatic Emotion Recognition from EEG Signal Utilizing Wavelet Packet Node Reconstruction and a CNN Classifier
Oishy Saha, Md Sultan Mahmud, Shaikh Anowarul Fattah
(2023), pp. 1-6
Closed Access | Times Cited: 1
Enabling Timely Medical Intervention by Exploring Health-Related Multivariate Time Series with a Hybrid Attentive Model
Jia Xie, Zhu Wang, Zhiwen Yu, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6104-6104
Open Access | Times Cited: 2
EEG Signal Analysis for Emotional Classification
K. Nanthini, M. Pyingkodi, D. Sivabalaselvamani, et al.
2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC) (2022), pp. 192-198
Closed Access | Times Cited: 2
CNN with Self-attention in EEG Classification
Xuduo Wang, Ziji Wang
Lecture notes in computer science (2022), pp. 512-526
Closed Access | Times Cited: 2
An Efficient Bidirectional LSTM-Based Deep Neural Network for Automatic Emotion Recognition Using EEG Signal
Md Sultan Mahmud, Oishy Saha, Shaikh Anowarul Fattah
(2022), pp. 417-420
Closed Access | Times Cited: 2
Comparing the Performances of Ensemble classifiers to Detect Eye Stat
Kemal Akyol, Abdülkadir Karacı
International Journal of Information Technology and Computer Science (2022) Vol. 14, Iss. 6, pp. 33-38
Open Access | Times Cited: 1
DEEPSATTNET: An End-to-End Deep Neural Network with Self-Attention for EEG-Based Emotion Recognition
Oishy Saha, Md Sultan Mahmud, Shaikh Anowarul Fattah
2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) (2022), pp. 275-279
Closed Access | Times Cited: 1
Machine Learning Algorithm to Detect EEG based Emotion states using Virtual-Video stimuli
S Thejaswini, N. Ramesh Babu, K Mamatha
(2023) Vol. 8, pp. 151-156
Closed Access
Significance of Subject-Dependency for Imagined Speech Classification Using EEG
Sandali Nisansa Liyanagoonawardena, Ashan Thamara Palihakkara, Dineth Navodya Mudalige, et al.
(2023), pp. 541-546
Closed Access

Scroll to top