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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:

A Multiview Sparse Dynamic Graph Convolution-Based Region-Attention Feature Fusion Network for Major Depressive Disorder Detection
Weigang Cui, Mingyi Sun, Qunxi Dong, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 2691-2702
Closed Access | Times Cited: 10

Showing 10 citing articles:

Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification
Jingyu Liu, Wenxin Yang, Yulan Ma, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108069-108069
Closed Access | Times Cited: 8
Deep Multiview Module Adaption Transfer Network for Subject-Specific EEG Recognition
Weigang Cui, Yansong Xiang, Yifan Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 2917-2930
Closed Access | Times Cited: 7
A Review of Graph Theory-Based Diagnosis of Neurological Disorders Based on EEG and MRI
Ying Yan, Guanting Liu, Haoyang Cai, et al.
Neurocomputing (2024) Vol. 599, pp. 128098-128098
Closed Access | Times Cited: 6
A Cross-Scale Transformer and Triple-View Attention Based Domain-Rectified Transfer Learning for EEG Classification in RSVP Tasks
Jie Luo, Weigang Cui, Song Xu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 672-683
Open Access | Times Cited: 5
Research on Depression Recognition of EEG Signals Based on Spatio-Temporal Graph Convolutional Neural Network
静雯 石
Advances in Applied Mathematics (2025) Vol. 14, Iss. 02, pp. 14-24
Closed Access
FCAnet: A novel feature fusion approach to EEG emotion recognition based on cross-attention networks
Mingjie Li, Heming Huang, Kedi Huang
Neurocomputing (2025), pp. 130102-130102
Closed Access
Applying the parametric learning tactic along with the Welch signal processing technique in designing a depression recognition system using electroencephalogram
Melika Changizi, Saeid Rashidi, Mahdi Zolfagharzadeh-Kermani
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107921-107921
Closed Access
HEMAsNet: A Hemisphere Asymmetry Network Inspired by the Brain for Depression Recognition From Electroencephalogram Signals
Jian Shen, Kunlin Li, Huajian Liang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5247-5259
Closed Access | Times Cited: 3
Resting-State Electroencephalogram Depression Diagnosis Based on Traditional Machine Learning and Deep Learning: A Comparative Analysis
Haijun Lin, Jing Fang, Junpeng Zhang, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 6815-6815
Open Access | Times Cited: 2
An Automated Approach for Predicting HAMD-17 Scores via Divergent Selective Focused Multi-heads Self-Attention Network
Jing Qin, Zhiguang Qin, Zhen Qin, et al.
Brain Research Bulletin (2024) Vol. 213, pp. 110984-110984
Open Access
Intermediary-guided windowed attention Aggregation network for fine-grained characterization of Major Depressive Disorder fMRI
Xue Ming Yuan, Maozhou Chen, Peng Ding, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107166-107166
Closed Access
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