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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:

Progressive graph convolution network for EEG emotion recognition
Yijin Zhou, Fu Li, Yang Li, et al.
Neurocomputing (2023) Vol. 544, pp. 126262-126262
Open Access | Times Cited: 25

Showing 25 citing articles:

Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition
Wenbo Zheng, Lan Yan, Fei‐Yue Wang
IEEE Transactions on Affective Computing (2023) Vol. 14, Iss. 4, pp. 2595-2613
Closed Access | Times Cited: 23
ST-SCGNN: A Spatio-Temporal Self-Constructing Graph Neural Network for Cross-Subject EEG-Based Emotion Recognition and Consciousness Detection
Jiahui Pan, Rongming Liang, Zhipeng He, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 2, pp. 777-788
Closed Access | Times Cited: 22
A Transformer Convolutional Network With the Method of Image Segmentation for EEG-Based Emotion Recognition
Xinyi Zhang, Xiankai Cheng
IEEE Signal Processing Letters (2024) Vol. 31, pp. 401-405
Closed Access | Times Cited: 7
Spatio-Temporal Image-Based Encoded Atlases for EEG Emotion Recognition
Danilo Avola, Luigi Cinque, A. Di Mambro, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 05
Open Access | Times Cited: 5
A Local-Ascending-Global Learning Strategy for Brain-Computer Interface
Dongrui Gao, Haokai Zhang, Pengrui Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 9, pp. 10039-10047
Open Access | Times Cited: 5
Multimodal emotion recognition by fusing complementary patterns from central to peripheral neurophysiological signals across feature domains
Zhuang Ma, Ao Li, Jiehao Tang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110004-110004
Closed Access
Graph convolution network-based eeg signal analysis: a review
Hui Xiong, Yan Yan, Yimei Chen, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access
A coupling of common–private topological patterns learning approach for cross-subject emotion recognition
Haokai Zhang, Pengrui Li, Hongli Chang, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107550-107550
Closed Access
Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers
Camilo E. Valderrama, Anshul Sheoran
Frontiers in Psychiatry (2025) Vol. 16
Open Access
Next Generation Imaging in Consumer Technology for ERP Detection-Based EEG Cross-Subject Visual Object Recognition
Mohammed Wasim Bhatt, Sparsh Sharma
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 3688-3696
Closed Access | Times Cited: 2
GNN-based multi-source domain prototype representation for cross-subject EEG emotion recognition
Yi Guo, Chao Tang, Hao Wu, et al.
Neurocomputing (2024) Vol. 609, pp. 128445-128445
Closed Access | Times Cited: 2
High-Accuracy Classification of Multiple Distinct Human Emotions Using EEG Differential Entropy Features and ResNet18
Longxin Yao, Yun Lu, Yukun Qian, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6175-6175
Open Access | Times Cited: 1
Enhancing local representation learning through global–local integration with functional connectivity for EEG-based emotion recognition
Baole Fu, Xiangkun Yu, Guijie Jiang, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108857-108857
Closed Access | Times Cited: 1
A radial basis deformable residual convolutional neural model embedded with local multi-modal feature knowledge and its application in cross-subject classification
Jingjing Li, Yanhong Zhou, Tiange Liu, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125089-125089
Closed Access | Times Cited: 1
Deep learning-based EEG emotion recognition: a comprehensive review
Yuxiao Geng, Shuo Shi, Xiaoke Hao
Neural Computing and Applications (2024)
Closed Access | Times Cited: 1
Semisupervised Deep Features of Time-Frequency Maps for Multimodal Emotion Recognition
Behrooz Zali-Vargahan, Asghar Charmin, Hashem Kalbkhani, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-11
Open Access | Times Cited: 2
Temporal GCN-based emotional recognition with EEG series in graduate employment pressure music therapy
Hongwei Zhao, Jiawen Liu, XUECHUN ZHU, et al.
(2024), pp. 147-147
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
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
Exploring CEEMDAN and LMD Domains Entropy Features for Decoding EEG-Based Emotion Patterns
Nalini Pusarla, Anurag Singh, Shrivishal Tripathi, et al.
IEEE Access (2024) Vol. 12, pp. 103606-103625
Open Access
Advanced functional connectivity analysis with integrated EEG signal enhancement and GTW-EEG-GAN for emotion detection
Nirmal Varghese Babu, E. Grace Mary Kanaga
International Journal of Computers and Applications (2024), pp. 1-14
Closed Access
Multi-view brain functional connectivity and hierarchical fusion for EEG-based emotion recognition
Baole Fu, Xiangkun Yu, Feng Wu, et al.
Measurement (2024), pp. 116046-116046
Closed Access
Emotion Classification from Electroencephalographic Signals Using Machine Learning
Jesus Arturo Mendivil Sauceda, Bogart Yail Márquez, José Jaime Esqueda-Elizondo
Brain Sciences (2024) Vol. 14, Iss. 12, pp. 1211-1211
Open Access
Capturing the Concept Projection in Metaphorical Memes for Downstream Learning Tasks
Sathwik Acharya, Bhaskarjyoti Das, T. S. B. Sudarshan
IEEE Access (2023) Vol. 12, pp. 1250-1265
Open Access | Times Cited: 1
ASDEXPLAINER : An Interpretable Graph Neural Network Framework for Brain Network Based Autism Spectrum Disorder Analysis
Gayathri Sivakumar Menon, J. Poornima, Aneena T Sojan, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023), pp. 1-7
Closed Access
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