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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:

IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data
Xia-an Bi, Lou Li, Zizheng Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 12

Showing 12 citing articles:

Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Ahmed Elazab, Changmiao Wang, M. Abdel-Aziz, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124780-124780
Closed Access | Times Cited: 15
AI-enhanced integration of genetic and medical imaging data for risk assessment of Type 2 diabetes
Yijia Huang, Chun‐Houh Chen, Hsin‐Chou Yang
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Alzheimer’s disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network
Baiying Lei, Yafeng Li, Wanyi Fu, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103213-103213
Closed Access | Times Cited: 7
Dynamic weighted hypergraph convolutional network for brain functional connectome analysis
Junqi Wang, Hailong Li, Gang Qu, et al.
Medical Image Analysis (2023) Vol. 87, pp. 102828-102828
Open Access | Times Cited: 16
Hypergraph convolutional network for longitudinal data analysis in Alzheimer's disease
Xiaoke Hao, Jiawang Li, M. M. Ma, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107765-107765
Closed Access | Times Cited: 8
bmVAE: a variational autoencoder method for clustering single-cell mutation data
Jiaqian Yan, Ming Ma, Zhenhua Yu
Bioinformatics (2022) Vol. 39, Iss. 1
Open Access | Times Cited: 12
Identification of gene biomarkers for brain diseases via multi-network topological semantics extraction and graph convolutional network
Ping Zhang, Weihan Zhang, Weicheng Sun, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Regional abnormalities of spontaneous brain activity in migraine: A coordinate‐based meta‐analysis
Jianjie Wen, Yan‐Yan Gao, Mengting Li, et al.
Journal of Neuroscience Research (2023) Vol. 101, Iss. 8, pp. 1205-1223
Closed Access | Times Cited: 5
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data
Junliang Shang, Qi Zou, Qianqian Ren, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 6, pp. 2968-2979
Closed Access | Times Cited: 4
Multimodal data fusion based on IGERNNC algorithm for detecting pathogenic brain regions and genes in Alzheimer’s disease
Shuaiqun Wang, Kai Zheng, Wei Kong, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 6
Fusion of brain imaging genetic data for alzheimer’s disease diagnosis and causal factors identification using multi-stream attention mechanisms and graph convolutional networks
Wei Peng, Yanhan Ma, C Li, et al.
Neural Networks (2024) Vol. 184, pp. 107020-107020
Closed Access
AI-Enhanced Integration of Genetic and Medical Imaging Data for Risk Assessment of Type 2 Diabetes
Yi-Jia Huang, Chun‐Houh Chen, Hsin‐Chou Yang
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
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