Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Hyper-graph based sparse canonical correlation analysis for the diagnosis of Alzheimer’s disease from multi-dimensional genomic data
Wei Shao, Shunian Xiang, Zuoyi Zhang, et al.
Methods (2020) Vol. 189, pp. 86-94
Closed Access | Times Cited: 19

Showing 19 citing articles:

Modelling-based joint embedding of histology and genomics using canonical correlation analysis for breast cancer survival prediction
Vaishnavi Subramanian, Tanveer Syeda-Mahmood, N. Minh
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102787-102787
Open Access | Times Cited: 5
A comprehensive study on epigenetic biomarkers in early detection and prognosis of Alzheimer's disease
Dhruv Parikh, Manan Shah
Deleted Journal (2024) Vol. 1, Iss. 2, pp. 138-153
Open Access | Times Cited: 5
Deep self-representation learning with hyper-laplacian regularization for brain imaging genetics association analysis
Jin‐Xing Liu, Shuang-Qing Wang, Cui-Na Jiao, et al.
Methods (2025)
Closed Access
Multimodal fusion model for diagnosing mild cognitive impairment in unilateral middle cerebral artery steno-occlusive disease
Ziyi Yuan, Zhaodi Huang, Chaojun Li, et al.
Frontiers in Aging Neuroscience (2025) Vol. 17
Open Access
Graph convolutional network with sample and feature weights for Alzheimer’s disease diagnosis
Lu Zeng, Hengxin Li, Tingsong Xiao, et al.
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102952-102952
Closed Access | Times Cited: 22
A transformer-based multi-features fusion model for prediction of conversion in mild cognitive impairment
Guowei Zheng, Yu Zhang, Ziyang Zhao, et al.
Methods (2022) Vol. 204, pp. 241-248
Open Access | Times Cited: 20
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
Multi-modal intermediate integrative methods in neuropsychiatric disorders: A review
Yanlin Wang, Shi Tang, Ruimin Ma, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 6149-6162
Open Access | Times Cited: 15
Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, et al.
Lecture notes in computer science (2022), pp. 717-727
Closed Access | Times Cited: 10
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis
Meiling Wang, Wei Shao, Xiaoke Hao, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 6, pp. 1673-1686
Closed Access | Times Cited: 14
Correlations, variations, and modelling of indoor environment in a mechanically-ventilated pig building
Qiuju Xie, Ji‐Qin Ni, Jun Bao, et al.
Journal of Cleaner Production (2020) Vol. 282, pp. 124441-124441
Open Access | Times Cited: 13
Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning
Maurice Kuschel, Tanuj Hasija, Timothy Marrinan
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 6490-6494
Closed Access | Times Cited: 1
Effective Breast Cancer Recognition Based on Fine-Grained Feature Selection
Guangli Li, Tian Yuan, Chuanxiu Li, et al.
IEEE Access (2020) Vol. 8, pp. 227538-227555
Open Access | Times Cited: 11
Geodesic-Based Relaxation For Deep Canonical Correlation Analysis
Maurice Kuschel, Timothy Marrinan, Tanuj Hasija
(2023), pp. 1-6
Closed Access | Times Cited: 2
Machine learning for the analysis of multi-omics data
Yanni Sun
Methods (2021) Vol. 189, pp. 1-2
Closed Access | Times Cited: 4
Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging Genetics
Shuang-Qing Wang, Cui-Na Jiao, Tian-Ru Wu, et al.
Lecture notes in computer science (2024), pp. 418-426
Closed Access
An application of node and edge nonlinear hypergraph centrality to a protein complex hypernetwork
S.S. Lawson, Diane Donovan, James Lefevre
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0311433-e0311433
Open Access
Predicting Alzheimer’s Disease with Multi-Omic Data: A Systematic Review
Anthony Davis, Wilson Mendoza, Daniel Leach, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access | Times Cited: 1
Hyper-graph based Adaptive Sparse Multi-view Canonical Correlation Analysis with Application to Neuroimaging Genetics Study of Alzheimer’s Disease
Lei Wang, Wei Kong, Shuaiqun Wang
Modern Clinical Medicine Research (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Page 1

Scroll to top