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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:

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model
Haoteng Tang, Guixiang Ma, Lei Guo, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 7363-7375
Open Access | Times Cited: 21

Showing 21 citing articles:

A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders
Shengjie Zhang, Xiang Chen, Xin Shen, et al.
Medical Image Analysis (2023) Vol. 90, pp. 102932-102932
Closed Access | Times Cited: 25
Early prediction of dementia using fMRI data with a graph convolutional network approach
Shuning Han, Zhe Sun, Kanhao Zhao, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 1, pp. 016013-016013
Closed Access | Times Cited: 9
Temporal‐multimodal consistency alignment for Alzheimer's cognitive assessment prediction
Xikai Yang, Xilin Dang, Jinyue Cai, et al.
Medical Physics (2025)
Closed Access
Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration
Xuexiong Luo, Jia Wu, Jian Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3559-3572
Closed Access | Times Cited: 4
BGCSL: An unsupervised framework reveals the underlying structure of large-scale whole-brain functional connectivity networks
Hua Zhang, Weiming Zeng, Ying Li, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 260, pp. 108573-108573
Closed Access
Causal invariance guides interpretable graph contrastive learning in fMRI analysis
Boyang Wei, Weiming Zeng, Yuhu Shi, et al.
Alexandria Engineering Journal (2025) Vol. 117, pp. 635-647
Closed Access
Joint Structural-Functional Brain Graph Transformer
Ciyuan Peng, Huafei Huang, Tianqi Guo, et al.
ACM Transactions on Intelligent Systems and Technology (2025)
Closed Access
A comprehensive survey of complex brain network representation
Haoteng Tang, Guixiang Ma, Yanfu Zhang, et al.
Meta-Radiology (2023) Vol. 1, Iss. 3, pp. 100046-100046
Open Access | Times Cited: 10
Signed graph representation learning for functional-to-structural brain network mapping
Haoteng Tang, Lei Guo, Xiyao Fu, et al.
Medical Image Analysis (2022) Vol. 83, pp. 102674-102674
Open Access | Times Cited: 15
Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data
Kai Ye, Haoteng Tang, Siyuan Dai, et al.
Lecture notes in computer science (2023), pp. 138-148
Open Access | Times Cited: 8
The Combination of a Graph Neural Network Technique and Brain Imaging to Diagnose Neurological Disorders: A Review and Outlook
Shuoyan Zhang, Jiacheng Yang, Ying Zhang, et al.
Brain Sciences (2023) Vol. 13, Iss. 10, pp. 1462-1462
Open Access | Times Cited: 5
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks
Gang Qu, Anton Orlichenko, Junqi Wang, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 4, pp. 1568-1578
Closed Access | Times Cited: 4
Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development
Longyun Chen, Chen Qiao, Kai Ren, et al.
NeuroImage (2024) Vol. 298, pp. 120771-120771
Open Access | Times Cited: 1
Graph pooling in graph neural networks: methods and their applications in omics studies
Yan Wang, Wenju Hou, Nan Sheng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 1
Coarse-to-Fine Contrastive Learning on Graphs
Peiyao Zhao, Yuangang Pan, Xin Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 4, pp. 4622-4634
Open Access | Times Cited: 3
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning
Yawen Wu, Zhepeng Wang, Dewen Zeng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 3, pp. 2866-2874
Open Access | Times Cited: 2
An unclosed structures-preserving embedding model for signed networks
Liang Du, Hao Jiang, Dongsheng Ye, et al.
Neurocomputing (2024) Vol. 576, pp. 127320-127320
Closed Access
Brain Image Synthesis Using Incomplete Multimodal Data
Yanfu Zhang, Guodong Liu, Runxue Bao, et al.
(2024), pp. 1-5
Closed Access
Neurodegenerative Disease Prediction via Transferable Deep Networks
Yanfu Zhang, Guodong Liu, Runxue Bao, et al.
(2024), pp. 1-5
Closed Access
BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis
Kai Ye, Haoteng Tang, Siyuan Dai, et al.
Neural Networks (2024) Vol. 183, pp. 106943-106943
Closed Access
Bpen: Brain Posterior Evidential Network for Trustworthy Brain Imaging Analysis
Kai Ye, Haoteng Tang, Siyuan Dai, et al.
(2024)
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
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