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:

Multi-Graph Attention Networks With Bilinear Convolution for Diagnosis of Schizophrenia
Renping Yu, Cong Pan, Xuan Fei, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 3, pp. 1443-1454
Closed Access | Times Cited: 16

Showing 16 citing articles:

Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Applied Soft Computing (2023) Vol. 148, pp. 110864-110864
Closed Access | Times Cited: 22

MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia
Haiyuan Wang, Runlin Peng, Yuanyuan Huang, et al.
Brain Research Bulletin (2025) Vol. 221, pp. 111199-111199
Open Access | Times Cited: 1

Brain network analysis of working memory in schizophrenia based on multi graph attention network
Ping Lin, Geng Zhu, Xinyi Xu, et al.
Brain Research (2024) Vol. 1831, pp. 148816-148816
Closed Access | Times Cited: 6

A Review of Graph Theory-Based Diagnosis of Neurological Disorders Based on EEG and MRI
Ying Yan, Guanting Liu, Haoyang Cai, et al.
Neurocomputing (2024) Vol. 599, pp. 128098-128098
Closed Access | Times Cited: 6

MTBAAN: Multi‐View Topological Bilinear Aggregation Attention Network Model for Alzheimer's Disease Diagnosis
Jie Liu, Weiming Zeng, Wei Zhang, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 1
Closed Access

Enhancing human-like multimodal reasoning: a new challenging dataset and comprehensive framework
Jingxuan Wei, Cheng Tan, Zhangyang Gao, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 33, pp. 20849-20861
Closed Access | Times Cited: 2

Optimizing graph neural network architectures for schizophrenia spectrum disorder prediction using evolutionary algorithms
Shurun Wang, Hao Tang, Ryutaro Himeno, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108419-108419
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

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

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

Motif-Matching Based Sub-Braingraph Level Networks for Noisy Resting-State fMRI Analysis
Yan Zhang, Xin Liu, Zuping Zhang
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 141-145
Closed Access

Feature-Enhanced Federated Graph Convolutional Network for Major Depression Disorder Identification
Chun Liu, Shengchang Shan, Xinshun Ding, et al.
(2024)
Closed Access

Multi-graph Networks with Graph Pooling for COVID-19 Diagnosis
Chaosheng Tang, Wenle Xu, Junding Sun, et al.
Journal of Bionic Engineering (2024)
Closed Access

Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image
Dewinda Julianensi Rumala, Reza Fuad Rachmadi, Anggraini Dwi Sensusiati, et al.
EMITTER International Journal of Engineering Technology (2024) Vol. 12, Iss. 2, pp. 93-111
Open Access

Table of Contents

IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 3, pp. 1149-1151
Open Access

Determining the Optimal Number of GAT and GCN Layers for Node Classification in Graph Neural Networks
Humaira Noor, Niful Islam, Md. Saddam Hossain Mukta, et al.
(2023), pp. 111-116
Open Access

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