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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:

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

Showing 23 citing articles:

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
A comprehensive exploration of machine learning techniques for EEG-based anxiety detection
Mashael Aldayel, Abeer Al-Nafjan
PeerJ Computer Science (2024) Vol. 10, pp. e1829-e1829
Open Access | Times Cited: 6
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
Integrated CNN-LSTM Model for Emotion Detection Using Physiological Signals from Wearables
Ankita, Inderveer Singh, Durgesh Nandini, et al.
Lecture notes in networks and systems (2025), pp. 363-374
Closed Access
Electroencephalogram Based Emotion Recognition Using Hybrid Intelligent Method and Discrete Wavelet Transform
Duy Nguyen, M.T. Nguyen, Kou Yamada
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2328-2328
Open Access
Intensity Controllable Emotional Speech Synthesis Based on Valence-Arousal-Dominance
G. Q. Li, Yanxiang Chen
Lecture notes in computer science (2025), pp. 30-40
Closed Access
Research on turbine blade temperature field reconstruction by coupling proper orthogonal decomposition and artificial neural network methods
Zhimin Chen, XuFei Yang, Yujie Chen, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Detecting emotions through EEG signals based on modified convolutional fuzzy neural network
Nasim Ahmadzadeh Nobari Azar, Nadire Çavuş, Parvaneh Esmaılı, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Enhancing Emotion Detection with Non-invasive Multi-Channel EEG and Hybrid Deep Learning Architecture
Durgesh Nandini, Jyoti Yadav, Asha Rani, et al.
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2024) Vol. 48, Iss. 3, pp. 1229-1248
Closed Access | Times Cited: 2
Enhanced speech emotion recognition using averaged valence arousal dominance mapping and deep neural networks
Davit Rizhinashvili, Abdallah Hussein Sham, Gholamreza Anbarjafari
Signal Image and Video Processing (2024) Vol. 18, Iss. 10, pp. 7445-7454
Closed Access | Times Cited: 2
A Bayesian Filtering Approach for Tracking Sympathetic Arousal and Cortisol-Related Energy From Marked Point Process and Continuous-Valued Observations
Dilranjan S. Wickramasuriya, Saman Khazaei, Roozbeh Kiani, et al.
IEEE Access (2023) Vol. 11, pp. 137204-137247
Open Access | Times Cited: 4
Improved Patient-Independent Seizure Detection Using Hybrid Feature Extraction Approach with Atomic Function-Based Wavelets
Durgesh Nandini, Jyoti Yadav, Asha Rani, et al.
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2023) Vol. 47, Iss. 4, pp. 1667-1688
Closed Access | Times Cited: 3
An audio-based anger detection algorithm using a hybrid artificial neural network and fuzzy logic model
Arihant Surana, Manish Rathod, Shilpa Gite, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 13, pp. 38909-38929
Closed Access | Times Cited: 3
Decoding Emotions Using Deep Learning Approach to EEG-Based Emotion Recognition
Rajeswari Rajesh Immanuel, S Sangeetha
(2023), pp. 1-6
Closed Access | Times Cited: 1
Emotion Recognition from Brain Connectivity Based on Multi-Head Attention Transformer and Autoencoder Network
Farzad Saffari, Mikkel N. Schmidt, Massimo Buscema, et al.
(2024)
Open Access
Enhancing Emotional State Detection Using EEG Data With A Multi-Model Deep Learning Approach
Rajeswari Rajesh Immanuel, Sangeetha Skb
Research Square (Research Square) (2024)
Open Access
Stream: A Spatio Temporal Features Based Recognition and Emotional Analysis Model for Electroencephalography (Eeg) Signals Utilizing Transformer Encoders
S Yogesh, Paneer Thanu Swaroop C, Ruba Soundar Kathavarayan
(2024)
Closed Access
Stream: A Spatio Temporal Features Based Recognition and Emotional Analysis Model for Electroencephalography (Eeg) Signals Utilizing Transformer Encoders
S Yogesh, Paneer Thanu Swaroop C, Ruba Soundar Kathavarayan
(2024)
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
Adequate Prompting Improves Performance of Regression Models of Emotional Content
Luana Bulla, Misael Mongiovı̀
(2024), pp. 135-142
Closed Access
INVESTIGATING NOVEL METHODS AND METRICS IN CONSUMER NEUROSCIENCE
Farzad Saffari
(2024)
Open Access
Emotion Classification Using Triple Layer CNN with ECG Signals
Gaurav Puniya, Tejas Patel, Harshit Kumar, et al.
Lecture notes in networks and systems (2024), pp. 391-403
Closed Access
Analysis of Multiple Emotions from Electroencephalogram Signals Using Machine Learning Models
Jehosheba Margaret Matthew, N. M. Masoodhu Banu, Madhumithaa Selvarajan
(2024), pp. 41-41
Open Access
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