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:

Cross-Subject EEG-Based Emotion Recognition Through Neural Networks With Stratified Normalization
Javier Fdez, Nicholas Guttenberg, Olaf Witkowski, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition
Xinke Shen, Xianggen Liu, Xin Hu, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 2496-2511
Open Access | Times Cited: 122

Automated emotion recognition: Current trends and future perspectives
M. Maithri, U. Raghavendra, Anjan Gudigar, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 215, pp. 106646-106646
Closed Access | Times Cited: 115

The applied principles of EEG analysis methods in neuroscience and clinical neurology
Hao Zhang, Qing-Qi Zhou, He Chen, et al.
Military Medical Research (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 43

Exploring Convolutional Neural Network Architectures for EEG Feature Extraction
Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 877-877
Open Access | Times Cited: 22

A Transformer based neural network for emotion recognition and visualizations of crucial EEG channels
Jiayi Guo, Qing Cai, Jian-Peng An, et al.
Physica A Statistical Mechanics and its Applications (2022) Vol. 603, pp. 127700-127700
Closed Access | Times Cited: 42

Multi-source domain adaptation with spatio-temporal feature extractor for EEG emotion recognition
Wenhui Guo, Guixun Xu, Yanjiang Wang
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104998-104998
Closed Access | Times Cited: 24

EEG emotion recognition based on differential entropy feature matrix through 2D-CNN-LSTM network
Teng Wang, Xiaoqiao Huang, Zenan Xiao, et al.
EURASIP Journal on Advances in Signal Processing (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 8

Mini review: Challenges in EEG emotion recognition
Zhihui Zhang, Josep Maria Fort Mir, Lluís Giménez Mateu
Frontiers in Psychology (2024) Vol. 14
Open Access | Times Cited: 5

An Automatic Framework for Detecting Autism Spectrum Disorder From EEG Signals Using TFD
Rajveer Singh Lalawat, Varun Bajaj
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10632-10639
Closed Access | Times Cited: 5

Capsule neural networks on spatio-temporal EEG frames for cross-subject emotion recognition
Gopal Chandra Jana, Anshuman Sabath, Anupam Agrawal
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103361-103361
Closed Access | Times Cited: 39

SECT: A Method of Shifted EEG Channel Transformer for Emotion Recognition
Zhongli Bai, Fazheng Hou, Kaixuan Sun, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 10, pp. 4758-4767
Closed Access | Times Cited: 12

Electroencephalogram-based emotion recognition using factorization temporal separable convolution network
Lijun Yang, Yixin Wang, Rujie Ouyang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108011-108011
Closed Access | Times Cited: 4

Deep Learning-Based Wearable Ear-EEG Emotion Recognition System With Superlets-Based Signal-to-Image Conversion Framework
Ngoc-Dau Mai, Ha-Trung Nguyen, Wan‐Young Chung
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 11946-11958
Closed Access | Times Cited: 4

Stochastic weight averaging enhanced temporal convolution network for EEG-based emotion recognition
Lijun Yang, Yixin Wang, Xiaohui Yang, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104661-104661
Closed Access | Times Cited: 9

An adaptive joint CCA-ICA method for ocular artifact removal and its application to emotion classification
Xiaohui Gao, Shilai Zhang, Ke Liu, et al.
Journal of Neuroscience Methods (2023) Vol. 390, pp. 109841-109841
Closed Access | Times Cited: 7

A Hybrid Critical Channel Selection Framework for EEG Emotion Recognition
Gangguo Qu, Fei Wang, Jinying Bi, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 14881-14893
Closed Access | Times Cited: 2

EEG-based emotion recognition systems; comprehensive study
Hussein Ali Hamzah, Kasim K. Abdalla
Heliyon (2024) Vol. 10, Iss. 10, pp. e31485-e31485
Open Access | Times Cited: 2

A gradient-based automatic optimization CNN framework for EEG state recognition
He Wang, Xinshan Zhu, Peiyin Chen, et al.
Journal of Neural Engineering (2021) Vol. 19, Iss. 1, pp. 016009-016009
Closed Access | Times Cited: 15

Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience
Xinke Shen, Lingyi Tao, X Chen, et al.
NeuroImage (2024), pp. 120890-120890
Open Access | Times Cited: 1

Domain Adaptation for Fear of Heights Classification in a VR Environment Based on EEG and ECG
Andrea Apicella, Pasquale Arpaïa, Simone Barbato, et al.
Information Systems Frontiers (2024)
Open Access | Times Cited: 1

Can Brain Signals Reveal Inner Alignment with Human Languages?
Jielin Qiu, William Han, Jiacheng Zhu, et al.
(2023), pp. 1789-1804
Open Access | Times Cited: 3

Framework for the Classification of Emotions in People With Visual Disabilities Through Brain Signals
Jesús Leonardo López-Hernández, Israel González‐Carrasco, José Luis López-Cuadrado, et al.
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 7

EEG Emotion Recognition Based on Federated Learning Framework
Chang Xu, Hong Liu, Wei Qi
Electronics (2022) Vol. 11, Iss. 20, pp. 3316-3316
Open Access | Times Cited: 5

EEG-based Emotion Classification - A Theoretical Perusal of Deep Learning Methods
K Sana Parveen, Jerrin Thomas Panachakel, H Ranjana, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2

Evaluation and Image Analysis of Enterprise Human Resource Management Based on the Simulated Annealing-Optimized BP Neural Network
Bo Zhao, Yuanlin Xu, Cheng Jun
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 5

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