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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:

Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis
Lei Du, Jin Zhang, Fang Liu, et al.
Medical Image Analysis (2021) Vol. 70, pp. 102003-102003
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction
Cui-Na Jiao, Ying-Lian Gao, Daohui Ge, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 130, pp. 107782-107782
Closed 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: 6
Plasma protein risk scores for mild cognitive impairment and Alzheimer's disease in the Framingham heart study
Habbiburr Rehman, Ting Fang Alvin Ang, Qiushan Tao, et al.
Alzheimer s & Dementia (2025) Vol. 21, Iss. 3
Open Access
Deep multimodality-disentangled association analysis network for imaging genetics in neurodegenerative diseases
Tao Wang, Xiumei Chen, Jiawei Zhang, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102842-102842
Closed Access | Times Cited: 11
Explainable and programmable hypergraph convolutional network for imaging genetics data fusion
Xia-an Bi, Sheng Luo, Siyu Jiang, et al.
Information Fusion (2023) Vol. 100, pp. 101950-101950
Closed Access | Times Cited: 11
Integrating multiple genomic imaging data for the study of lung metastasis in sarcomas using multi-dimensional constrained joint non-negative matrix factorization
Jin Deng, Weiming Zeng, Sizhe Luo, et al.
Information Sciences (2021) Vol. 576, pp. 24-36
Closed Access | Times Cited: 24
Multimodal cross enhanced fusion network for diagnosis of Alzheimer’s disease and subjective memory complaints
Yilin Leng, Wenju Cui, Yunsong Peng, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106788-106788
Open Access | Times Cited: 10
The promise of multi-omics approaches to discover biological alterations with clinical relevance in Alzheimer’s disease
Christopher Clark, Miriam Rabl, Loı̈c Dayon, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 15
Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis
Rui Guo, Xu Tian, Hanhe Lin, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 21, Iss. 1, pp. 57-68
Closed Access | Times Cited: 7
Modeling genotype–protein interaction and correlation for Alzheimer’s disease: a multi-omics imaging genetics study
Jin Zhang, Zikang Ma, Yan Yang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 2
Adaptive structured sparse multiview canonical correlation analysis for multimodal brain imaging association identification
Lei Du, Huiai Wang, Jin Zhang, et al.
Science China Information Sciences (2023) Vol. 66, Iss. 4
Closed Access | Times Cited: 6
Hypergraph Structural Information Aggregation Generative Adversarial Networks for Diagnosis and Pathogenetic Factors Identification of Alzheimer’s Disease With Imaging Genetic Data
Xia-an Bi, Yu Wang, Sheng Luo, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 7420-7434
Closed Access | Times Cited: 10
A review of imaging genetics in Alzheimer's disease
Xin Yu, Jinhua Sheng, Miao Miao, et al.
Journal of Clinical Neuroscience (2022) Vol. 100, pp. 155-163
Closed Access | Times Cited: 9
A Multi-task Deep Feature Selection Method for Brain Imaging Genetics
Chenglin Yu, Shu Zhang, Muheng Shang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 21, Iss. 6, pp. 1613-1622
Open Access | Times Cited: 5
DiffRS-net: A Novel Framework for Classifying Breast Cancer Subtypes on Multi-Omics Data
Pingfan Zeng, Cuiyu Huang, Yiran Huang
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2728-2728
Open Access | Times Cited: 1
Exploring Imaging Genetic Markers of Alzheimer’s Disease Based on a Novel Nonlinear Correlation Analysis Algorithm
Renbo Yang, Wei Kong, Kun Liu, et al.
Journal of Molecular Neuroscience (2024) Vol. 74, Iss. 2
Closed Access | Times Cited: 1
A sparse transformer generation network for brain imaging genetic association
Hongrui Liu, Yuanyuan Gui, Hui Lü, et al.
Pattern Recognition (2024) Vol. 156, pp. 110845-110845
Closed Access | Times Cited: 1
Exploring Brain Structural and Functional Biomarkers in Schizophrenia via Brain-Network-Constrained Multi-View SCCA
Peilun Song, Yaping Wang, Xiuxia Yuan, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 6
IMAGGS: a radiogenomic framework for identifying multi-way associations in breast cancer subtypes
Shuyu Liang, Sicheng Xu, Shichong Zhou, et al.
Journal of genetics and genomics/Journal of Genetics and Genomics (2023) Vol. 51, Iss. 4, pp. 443-453
Closed Access | Times Cited: 3
Detecting Biomarkers of Alzheimer’s Disease Based on Multi-constrained Uncertainty-Aware Adaptive Sparse Multi-view Canonical Correlation Analysis
Wenbo Wang, Wei Kong, Shuaiqun Wang, et al.
Journal of Molecular Neuroscience (2022) Vol. 72, Iss. 4, pp. 841-865
Closed Access | Times Cited: 5
Identification of multimodal brain imaging association via a parameter decomposition based sparse multi-view canonical correlation analysis method
Jin Zhang, Huiai Wang, Ying Zhao, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. S3
Open Access | Times Cited: 5
DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis
Jianhong Cheng, Hulin Kuang, Qichang Zhao, et al.
Future Generation Computer Systems (2022) Vol. 135, pp. 20-29
Closed Access | Times Cited: 5
Adaptive risk-aware sharable and individual subspace learning for cancer survival analysis with multi-modality data
Zhangxin Zhao, Qianjin Feng, Yu Zhang, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 5
A novel generation adversarial network framework with characteristics aggregation and diffusion for brain disease classification and feature selection
Xia-an Bi, Yuhua Mao, Sheng Luo, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 4
Associating brain imaging phenotypes and genetic risk factors via a hypergraph based netNMF method
Junli Zhuang, Jinping Tian, Xiaoxing Xiong, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 2
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