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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:

Graph Self-Supervised Learning With Application to Brain Networks Analysis
Guangqi Wen, Peng Cao, Lingwen Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 8, pp. 4154-4165
Closed Access | Times Cited: 16

Showing 16 citing articles:

A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 130
Multiscale Spectral Augmentation for Graph Contrastive Learning for fMRI analysis to diagnose psychiatric disease
Chang Hu, Yihong Dong, Shoubo Peng
Knowledge-Based Systems (2025), pp. 113175-113175
Closed Access | Times Cited: 1
Comprehensive review of Transformer‐based models in neuroscience, neurology, and psychiatry
Shan Cong, Hang Wang, Yang Zhou, et al.
Brain‐X (2024) Vol. 2, Iss. 2
Open Access | Times Cited: 7
Classification Study of Alzheimer’s Disease Based on Self-Attention Mechanism and DTI Imaging Using GCN
Y Sang, Wan Li
IEEE Access (2024) Vol. 12, pp. 24387-24395
Open Access | Times Cited: 5
Self-supervised learning for graph-structured data in healthcare applications: A comprehensive review
Safa Ben Atitallah, Chaima Ben Rabah, Maha Driss, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109874-109874
Open Access
Brain Signal Analysis of Neurological Disorders Using Topological Graphs
Yen-Kuang Chen, Erçan E. Kuruoğlu
Research Square (Research Square) (2025)
Open Access
A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder Diagnosis
Qunxi Dong, Hong-Xin Cai, Zhigang Li, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 8, pp. 4854-4865
Closed Access | Times Cited: 3
Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data
Rui Liu, Zhi-An Huang, Yao Hu, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 6, pp. 4046-4058
Closed Access | Times Cited: 1
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis
Zhiyong Jin, Guangqi Wen, Peng Cao, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 2270-2274
Closed Access
Autism spectrum disorder identification with multi-site functional magnetic resonance imaging
Shabeena Lylath, Laxmi B Rananavare
IAES International Journal of Artificial Intelligence (2024) Vol. 13, Iss. 2, pp. 2143-2143
Open Access
GMAEEG: A Self-Supervised Graph Masked Autoencoder for EEG Representation Learning
Zanhao Fu, Huaiyu Zhu, Yisheng Zhao, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 11, pp. 6486-6497
Closed Access
Self-supervised Learning with Adaptive Graph Structure and Function Representation for Cross-Dataset Brain Disorder Diagnosis
Dongdong Chen, Linlin Yao, Mengjun Liu, et al.
Lecture notes in computer science (2024), pp. 612-622
Closed Access
Visual Question Answering Driven Eye Tracking Paradigm for Identifying Children with Autism Spectrum Disorder
Jiansong Qi, Yaping Huang, Ying Zhang, et al.
(2024), pp. 5847-5855
Closed Access
Self-supervised graph contrastive learning with diffusion augmentation for functional MRI analysis and brain disorder detection
Xiaochuan Wang, Yuqi Fang, Qianqian Wang, et al.
Medical Image Analysis (2024) Vol. 101, pp. 103403-103403
Closed Access
Identifying influential nodes in brain networks via self-supervised graph-transformer
Yanqing Kang, Di Zhu, Haiyang Zhang, et al.
Computers in Biology and Medicine (2024) Vol. 186, pp. 109629-109629
Open Access
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