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:

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks
Hejie Cui, Wei Dai, Yanqiao Zhu, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 2, pp. 493-506
Open Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning
Yongcheng Zong, Qiankun Zuo, Michael K. Ng, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 10389-10403
Open Access | Times Cited: 21

DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks
Bishal Thapaliya, Robyn L. Miller, Jiayu Chen, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103462-103462
Open Access | Times Cited: 2

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

Graph neural network and machine learning analysis of functional neuroimaging for understanding schizophrenia
Gayathri Sunil, Smruthi Gowtham, Anurita Bose, et al.
BMC Neuroscience (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 9

A dual-stream spatio-temporal fusion network with multi-sensor signals for remaining useful life prediction
Qiang Zhang, Peixuan Yang, Qiong Liu
Journal of Manufacturing Systems (2024) Vol. 76, pp. 43-58
Closed Access | Times Cited: 9

Spectral Graph Neural Network-Based Multi-Atlas Brain Network Fusion for Major Depressive Disorder Diagnosis
Deok-Joong Lee, Dong-Hee Shin, Young-Han Son, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 5, pp. 2967-2978
Closed Access | Times Cited: 5

Neuroimage analysis using artificial intelligence approaches: a systematic review
Eric Jacob Bacon, Dianning He, N'bognon Angèle D'avilla Achi, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 9, pp. 2599-2627
Closed Access | Times Cited: 5

Towards Inductive and Efficient Explanations for Graph Neural Networks
Dongsheng Luo, Tianxiang Zhao, Wei Cheng, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5245-5259
Closed Access | Times Cited: 4

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

Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis
Wei Wang, Li Xiao, Gang Qu, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103144-103144
Closed Access | Times Cited: 4

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: 4

mGNN-bw: Multi-scale Graph Neural Network Based on Biased Random Walk Path Aggregation for ASD Diagnosis
Wentao Pan, Guang Ling, Feng Liu
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2025) Vol. 33, pp. 900-910
Open Access

Interpretable modality-specific and interactive graph convolutional network on brain functional and structural connectomes
Jing Xia, Yi Hao Chan, Deepank Girish, et al.
Medical Image Analysis (2025) Vol. 102, pp. 103509-103509
Closed Access

Efficient Clustering Method for Graph Images Using Two-Stage Clustering Technique
Hyuk-Gyu Park, Kwang-Seong Shin, Jong-Chan Kim
Electronics (2025) Vol. 14, Iss. 6, pp. 1232-1232
Open Access

Explainable graph neural network based on metabolic brain imaging for differential diagnosis of parkinsonism
Ronghua Ling, Xingxing Cen, Shaoyou Wu, et al.
Frontiers in Aging Neuroscience (2025) Vol. 17
Open 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

Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI
Qianqian Wang, Wei Wang, Yuqi Fang, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 8, pp. 2391-2401
Open Access | Times Cited: 3

A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis
Yulan Ma, Weigang Cui, Jingyu Liu, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 3, pp. 1045-1059
Closed Access | Times Cited: 9

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

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
Anwar Said, Roza G. Bayrak, Tyler Derr, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 7

Federated learning for cross-institution brain network analysis
Xie Han, Yi‐Ching Yang, Hejie Cui, et al.
Medical Imaging 2018: Computer-Aided Diagnosis (2024), pp. 16-16
Closed Access | Times Cited: 2

Sparse Graph Representation Learning based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis
Chang-Hoon Ji, Dong-Hee Shin, Young-Han Son, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 8, pp. 4842-4853
Closed Access | Times Cited: 2

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