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Tensor-based Multi-Modality Feature Selection and Regression for Alzheimer’s Disease Diagnosis

PubMed(2022)10.5121/csit.2022.121812Source: DataRank Database

Tensor-based Multi-Modality Feature Selection and Regression for Alzheimer’s Disease Diagnosis is a research paper published in PubMed (2022). On theSindex it has a DataRank of 0.310. It has been cited 3 times, with 3 citing works in its 1-hop citation network.

N/A

0.310DataRank · unranked

Scored on demand from live citation data

Open Access3 citations · 3 citing works in its network

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Linked data & code

doi

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (15 grants)Impact (FWCI 1.04)OA: goldTopics (31)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 67%Citation Network 33%

Base Score Contribution

0.208

From this paper's citation signal

Citation Network Contribution

0.102

From 3 citing papers with measurable signal

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Top 3 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 3 citers.

BNLoop-GAN: a multi-loop generative adversarial model on brain network learning to classify Alzheimer’s disease
Frontiers in Neuroscience202319 citations52 referencesContributes 0.058
Characterizing heterogeneity in Alzheimer’s disease progression: a semiparametric model
Scientific Reports20255 citations33 referencesContributes 0.054
Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis
IEEE Access20242 citations137 referencesContributes 0.008

Authors (5)

Zhaoming Kong ORCID,Liang Zhan ORCID,Li Shen ORCID,Lifang He ORCID,Jun Ye Yu ORCID

Live enrichment

PubMed:36880061 PMC:PMC9985071 OpenAlex:https://openalex.org/W4307693039

NIA NIH HHS

Grant: U01 AG066833

NIMH NIH HHS

Grant: RF1 MH125928

NLM NIH HHS

Grant: R01 LM013463

NIA NIH HHS

Grant: R01 AG071243

NIBIB NIH HHS

Grant: R03 EB008674

NIA NIH HHS

Grant: U01 AG068057

NIA NIH HHS

Grant: U24 AG021886

NIA NIH HHS

Grant: R01 AG066833

National Institutes of Health

Grant: 1U01AG068057-01

Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks

National Institutes of Health

Grant: 5R01LM013463-03

Informatics Algorithms for Genomic Analysis of Brain Imaging Data

National Science Foundation

Grant: 2045848

CAREER: Brain Imaging Genetics via multimodal modular structure querying

National Institutes of Health

Grant: 1RF1MH125928-01

Connecting late-life depression and cognition with statistical physics based connectomics and sparse Frechet regression

National Science Foundation

Grant: 1837956

BIGDATA: IA: Collaborative Research: Asynchronous Distributed Machine Learning Framework for Multi-Site Collaborative Brain Big Data Mining

National Institutes of Health

Grant: 5R01AG071243-03

CRCNS: Investigating Brain Dynamics through the Lens of Statistical Mechanics

National Institutes of Health

Grant: 1R01AG066833-01A1

Artificial Intelligence Strategies for Alzheimer's Disease Research

FWCI

1.04

Citation Percentile

0.7%

Citation Trend

2023

2024

2025

goldLicense: CC BY NC SA

https://doi.org/10.5121/csit.2022.121812

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36880061

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9985071

https://dx.doi.org/10.48550/arxiv.2209.11372

Fields of Study

Tensor decomposition and applicationsAdvanced Neuroimaging Techniques and ApplicationsAlzheimer's disease research and treatments03 medical and health sciences0302 clinical medicine

Keywords

Computer scienceFeature selectionLeverage (statistics)Modality (human–computer interaction)Artificial intelligenceTensor (intrinsic definition)RegressionMultilinear mapPattern recognition (psychology)Cognitive impairmentModalitiesDiseaseMachine learningMedicinePathologyStatisticsMathematicsAlzheimer’s diseaseBrain NetworkMulti-modality ImagingTensorFOS: Computer and information sciencesComputer Science - Machine LearningComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionMachine Learning (cs.LG)

Sustainable Development Goals

SDG 3: 3. Good health

Tensor-based Multi-Modality Feature Selection and Regression for Alzheimer’s Disease Diagnosis

FAIR Checklist

DataRank Breakdown

Top 3 citers driving the network score

Authors (5)

Funding (15 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)