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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:

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 26-50 of 78 citing articles:

STSNet: a novel spatio-temporal-spectral network for subject-independent EEG-based emotion recognition
Rui Li, Chao Ren, Sipo Zhang, et al.
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Closed Access | Times Cited: 11
Feature Pyramid Networks and Long Short-Term Memory for EEG Feature Map-Based Emotion Recognition
Xiaodan Zhang, Yige Li, Jinxiang Du, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1622-1622
Open Access | Times Cited: 10
SSTD: A Novel Spatio-Temporal Demographic Network for EEG-Based Emotion Recognition
Rui Li, Chao Ren, Chen Li, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 1, pp. 376-387
Closed Access | Times Cited: 17
Convolutional gated recurrent unit-driven multidimensional dynamic graph neural network for subject-independent emotion recognition
Wenhui Guo, Yanjiang Wang
Expert Systems with Applications (2023) Vol. 238, pp. 121889-121889
Closed Access | Times Cited: 9
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
Dense Graph Convolutional With Joint Cross-Attention Network for Multimodal Emotion Recognition
Cheng Cheng, Wenzhe Liu, Lin Feng, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6672-6683
Closed Access | Times Cited: 2
Cross-Subject Channel Selection Using Modified Relief and Simplified CNN-Based Deep Learning for EEG-Based Emotion Recognition
Lia Farokhah, Riyanarto Sarno, Chastine Fatichah
IEEE Access (2023) Vol. 11, pp. 110136-110150
Open Access | Times Cited: 7
Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels
Wei-Bang Jiang, Xuan-Hao Liu, Wei‐Long Zheng, et al.
(2023), pp. 5975-5984
Closed Access | Times Cited: 7
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: 2
Emotion Detection Using Deep Normalized Attention-Based Neural Network and Modified-Random Forest
Shtwai Alsubai
Sensors (2022) Vol. 23, Iss. 1, pp. 225-225
Open Access | Times Cited: 11
A novel model based on a 1D-ResCNN and transfer learning for processing EEG attenuation
Wenlong Wang, Baojiang Li
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 26, Iss. 16, pp. 1980-1993
Closed Access | Times Cited: 6
A novel convolution bi-directional gated recurrent unit neural network for emotion recognition in multichannel electroencephalogram signals
Abgeena Abgeena, Shruti Garg
Technology and Health Care (2023) Vol. 31, Iss. 4, pp. 1215-1234
Closed Access | Times Cited: 6
Dynamical graph neural network with attention mechanism for epilepsy detection using single channel EEG
Yang Li, Yang Yang, Qinghe Zheng, et al.
Medical & Biological Engineering & Computing (2023) Vol. 62, Iss. 1, pp. 307-326
Closed Access | Times Cited: 6
A Graph Neural Network for EEG-Based Emotion Recognition With Contrastive Learning and Generative Adversarial Neural Network Data Augmentation
S. Soleimani Gilakjani, Hussein Al Osman
IEEE Access (2023) Vol. 12, pp. 113-130
Open Access | Times Cited: 5
Evaluating the Effectiveness of Classification Algorithms for EEG Sentiment Analysis
Sumya Akter, Rumman Ahmed Prodhan, Muhammad Bin Mujib, et al.
Advances in intelligent systems and computing (2023), pp. 195-212
Closed Access | Times Cited: 4
Automatically detecting OSAHS patients based on transfer learning and model fusion
Ding Li, Jianxin Peng, Lijuan Song, et al.
Physiological Measurement (2024) Vol. 45, Iss. 5, pp. 055013-055013
Closed Access | Times Cited: 1
Assessing neural markers of attention during exposure to construction noise using machine learning classification of electroencephalogram data
Mostafa Mir, Farnad Nasirzadeh, Morteza Zakeri‐Nasrabadi, et al.
Building and Environment (2024) Vol. 261, pp. 111754-111754
Open Access | Times Cited: 1
Modality encoded latent dataset for emotion recognition
Ahmet Mert
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104140-104140
Closed Access | Times Cited: 7
LSTM-enhanced multi-view dynamical emotion graph representation for EEG signal recognition
Guixun Xu, Wenhui Guo, Yanjiang Wang
Journal of Neural Engineering (2023) Vol. 20, Iss. 3, pp. 036038-036038
Closed Access | Times Cited: 3
A Novel Method of Emotion Recognition from Multi-Band EEG Topology Maps Based on ERENet
Ziyi Lv, Jing Zhang, Estanislao Epota Oma
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10273-10273
Open Access | Times Cited: 4
From gram to attention matrices: a monotonicity constrained method for eeg-based emotion classification
Dongyang Kuang, Craig Michoski, Wenting Li, et al.
Applied Intelligence (2023) Vol. 53, Iss. 18, pp. 20690-20709
Closed Access | Times Cited: 2
Robust Emotion Recognition in EEG Signals Based on a Combination of Multiple Domain Adaptation Techniques
Alireza Mirzaee, Mojtaba Kordestani, Luis Rueda, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2023), pp. 3265-3270
Closed Access | Times Cited: 2
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
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
An improved empirical mode decomposition method with ensemble classifiers for analysis of multichannel EEG in BCI emotion recognition
Priyadarsini Samal, Mohammad Farukh Hashmi
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-24
Closed Access

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