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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:

TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis
Lanting Li, Hao Jiang, Guangqi Wen, et al.
Neuroinformatics (2021) Vol. 20, Iss. 2, pp. 353-375
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks
Hao Zhang, Ran Song, Liping Wang, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 2, pp. 444-455
Closed Access | Times Cited: 84
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
Fuad Noman, Chee-Ming Ting, Hakmook Kang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1644-1655
Open Access | Times Cited: 16
Transfer Learning Approaches for Neuroimaging Analysis: A Scoping Review
Zaniar Ardalan, Vignesh Subbian
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 38
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
Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning
Yanwu Yang, Chenfei Ye, Xutao Guo, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 108-121
Closed Access | Times Cited: 22
Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
Zhiyi Chen, Xuerong Liu, Qingwu Yang, et al.
JAMA Network Open (2023) Vol. 6, Iss. 3, pp. e231671-e231671
Open Access | Times Cited: 17
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
Classification of schizophrenia patients using a graph convolutional network: A combined functional MRI and connectomics analysis
Xiaoyi Chen, Jing Zhou, Pengfei Ke, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104293-104293
Closed Access | Times Cited: 22
A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification
Lan Lin, Min Xiong, Ge Zhang, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1914-1914
Open Access | Times Cited: 15
A deep connectome learning network using graph convolution for connectome-disease association study
Yanwu Yang, Chenfei Ye, Ting Ma
Neural Networks (2023) Vol. 164, pp. 91-104
Open Access | Times Cited: 15
A novel interactive deep cascade spectral graph convolutional network with multi-relational graphs for disease prediction
Sihui Li, Rui Zhang
Neural Networks (2024) Vol. 175, pp. 106285-106285
Closed Access | Times Cited: 5
Towards Clinical Diagnoses: Classifying Alzheimer's Disease Using Single fMRI, Small Datasets, and Transfer Learning
Samuel L. Warren, Ahmed A. Moustafa
Brain and Behavior (2025) Vol. 15, Iss. 3
Open Access
fMRI-Based Brain Disease Diagnosis: A Graph Network Approach
Wei Tong, Yongxia Li, Xiaoyan Zhao, et al.
IEEE Transactions on Medical Robotics and Bionics (2023) Vol. 5, Iss. 2, pp. 312-322
Open Access | Times Cited: 12
Discriminative analysis of schizophrenia patients using graph convolutional networks: A combined multimodal MRI and connectomics analysis
Xiaoyi Chen, Pengfei Ke, Yuanyuan Huang, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 11
Exploring Alzheimer's disease: a comprehensive brain connectome-based survey
Lu Zhang, Junqi Qu, Haotian Ma, et al.
Deleted Journal (2024) Vol. 4
Open Access | Times Cited: 4
Multi-View Feature Enhancement Based on Self-Attention Mechanism Graph Convolutional Network for Autism Spectrum Disorder Diagnosis
Feng Zhao, Na Li, Hongxin Pan, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 17
Multi-atlas Graph Convolutional Networks and Convolutional Recurrent Neural Networks-Based Ensemble Learning for Classification of Autism Spectrum Disorders
Manjunath Ramanna Lamani, P. Julian Benadit, Krishnakumar Vaithinathan
SN Computer Science (2023) Vol. 4, Iss. 3
Closed Access | Times Cited: 10
Do it the transformer way: A comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification
Asrar G. Alharthi, Salha M. Alzahrani
Computers in Biology and Medicine (2023) Vol. 167, pp. 107667-107667
Closed Access | Times Cited: 9
Contrastive Multi-View Composite Graph Convolutional Networks Based on Contribution Learning for Autism Spectrum Disorder Classification
Hao Zhu, Jun Wang, Yin‐Ping Zhao, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 70, Iss. 6, pp. 1943-1954
Closed Access | Times Cited: 15
The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification
Nguyen Huynh, Da Yan, Yueen Ma, et al.
Brain Sciences (2024) Vol. 14, Iss. 5, pp. 456-456
Open Access | Times Cited: 2
DeepGCN based on variable multi‐graph and multimodal data for ASD diagnosis
Shuaiqi Liu, Siqi Wang, Chaolei Sun, et al.
CAAI Transactions on Intelligence Technology (2024) Vol. 9, Iss. 4, pp. 879-893
Open Access | Times Cited: 2
A feature-aware multimodal framework with auto-fusion for Alzheimer’s disease diagnosis
Meiwei Zhang, Qiushi Cui, Yang Lü, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108740-108740
Closed Access | Times Cited: 2
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
Classification of Alzheimer's disease: application of a transfer learning deep Q‐network method
Huibin Ma, Yadan Wang, Zeqi Hao, et al.
European Journal of Neuroscience (2024) Vol. 59, Iss. 8, pp. 2118-2127
Closed Access | Times Cited: 1
DDN-Net: Deep Residual Shrinkage Denoising Networks with Channel-Wise Adaptively Soft Thresholds for Automated Major Depressive Disorder Identification
Yan Zhang, Xin Liu, Zuping Zhang
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 1626-1630
Closed Access | Times Cited: 1
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