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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 deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data
Tiago Azevedo, Alexander Campbell, Rafael Romero‐Garcia, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102471-102471
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-45
Open Access | Times Cited: 50
A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions
Showmick Guha Paul, Arpa Saha, Md. Zahid Hasan, et al.
IEEE Access (2024) Vol. 12, pp. 15145-15170
Open Access | Times Cited: 17
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: 1
BrainTGL: A dynamic graph representation learning model for brain network analysis
Lingwen Liu, Guangqi Wen, Peng Cao, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106521-106521
Closed Access | Times Cited: 28
Topological Data Analysis for Multivariate Time Series Data
Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao
Entropy (2023) Vol. 25, Iss. 11, pp. 1509-1509
Open Access | Times Cited: 13
Temporal Graphormer and its interpretability: A novel framework for diagnostic decoding of brain disorders using fMRI data
Boyue Song, Shinich Yoshida
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107467-107467
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
Open-World Semi-Supervised Learning for fMRI Analysis to Diagnose Psychiatric Disease
Chang Hu, Yihong Dong, Shoubo Peng, et al.
Information (2025) Vol. 16, Iss. 3, pp. 171-171
Open Access
MCDGLN: Masked Connection-based Dynamic Graph Learning Network for Autism Spectrum Disorder
Peng Wang, Xin Wen, Yi LEI, et al.
Brain Research Bulletin (2025), pp. 111290-111290
Open Access
Unsupervised contrastive graph learning for resting‐state functional MRI analysis and brain disorder detection
Xiaochuan Wang, Ying Chu, Qianqian Wang, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 17, pp. 5672-5692
Open Access | Times Cited: 12
Deep learning on spatiotemporal graphs: A systematic review, methodological landscape, and research opportunities
Assaad Oussama Zeghina, Aurélie Leborgne, Florence Le Ber, et al.
Neurocomputing (2024) Vol. 594, pp. 127861-127861
Open Access | Times Cited: 4
Classification of recurrent major depressive disorder using a new time series feature extraction method through multisite rs-fMRI data
Peishan Dai, Da Lu, Yun Q. Shi, et al.
Journal of Affective Disorders (2023) Vol. 339, pp. 511-519
Closed Access | Times Cited: 9
Classification of MDD using a Transformer classifier with large‐scale multisite resting‐state fMRI data
Peishan Dai, Ying Zhou, Yun Q. Shi, et al.
Human Brain Mapping (2023) Vol. 45, Iss. 1
Open Access | Times Cited: 9
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: 9
Identification of autism spectrum disorder using multiple functional connectivity-based graph convolutional network
Chaoran Ma, Wenjie Li, Ke Sheng, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 7, pp. 2133-2144
Closed Access | Times Cited: 3
Resting-state fMRI network efficiency as a mediator in the relationship between the glymphatic system and cognitive function in obstructive sleep apnea hypopnea syndrome: Insights from a DTI-ALPS investigation
Zhenliang Xiong, Mingxian Bai, Zhongxin Wang, et al.
Sleep Medicine (2024) Vol. 119, pp. 250-257
Closed Access | Times Cited: 3
Dynamic multi-site graph convolutional network for autism spectrum disorder identification
Weigang Cui, Junling Du, Mingyi Sun, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106749-106749
Closed Access | Times Cited: 8
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: 2
Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer’s disease
Hae Sol Moon, Ali Mahzarnia, Jacques Stout, et al.
Imaging Neuroscience (2024) Vol. 2, pp. 1-22
Open Access | Times Cited: 2
Variational inference of fractional Brownian motion with linear computational complexity
Hippolyte Verdier, François Laurent, Alhassan Cassé, et al.
Physical review. E (2022) Vol. 106, Iss. 5
Open Access | Times Cited: 11
Multi-Connectivity Representation Learning Network for Major Depressive Disorder Diagnosis
Youyong Kong, Wenhan Wang, Xiaoyun Liu, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 10, pp. 3012-3024
Closed Access | Times Cited: 6
Multi-Perspective Feature Extraction and Fusion Based on Deep Latent Space for Diagnosis of Alzheimer’s Diseases
Libin Gao, Zhongyi Hu, Rui Li, et al.
Brain Sciences (2022) Vol. 12, Iss. 10, pp. 1348-1348
Open Access | Times Cited: 8
Sequential Monte Carlo Graph Convolutional Network for Dynamic Brain Connectivity
Fengfan Zhao, Erçan E. Kuruoğlu
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7535-7539
Open Access | Times Cited: 1
STDCformer: Spatial-Temporal Dual-Path Cross-Attention Model for fMRI-Based Autism Spectrum Disorder Identification
Haifeng Zhang, Chonghui Song, Xiaolong Zhao, et al.
Heliyon (2024) Vol. 10, Iss. 14, pp. e34245-e34245
Open Access | Times Cited: 1
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
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