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Individualized Stress Mobile Sensing Using Self-Supervised Pre-Training

Applied Sciences(2023)10.3390/app132112035Source: DataRank Database

Individualized Stress Mobile Sensing Using Self-Supervised Pre-Training is a research paper published in Applied Sciences (2023). On theSindex it has a DataRank of 0. It has been cited 24 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access24 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 5.04)OA: goldTopics (17)IDs (PubMed, PMC, OpenAlex)

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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Authors (2)

Peter Washington ORCID,Tanvir Islam ORCID

Live enrichment

PubMed:39507765 PMC:PMC11540419 OpenAlex:https://openalex.org/W4388333204

National Institute of General Medical Sciences (NIGMS)

Grant: U54GM138062

National Institute of General Medical Sciences (NIGMS)

Grant: MedRes_2023_00002689

FWCI

5.04

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://www.mdpi.com/2076-3417/13/21/12035/pdf?version=1699095723

publisherhttps://www.mdpi.com/2076-3417/13/21/12035/pdf?version=1699095723

publisherhttps://www.mdpi.com/2076-3417/13/21/12035/pdf

journalhttps://doi.org/10.3390/app132112035

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39507765

Fields of Study

Mental Health Research TopicsDigital Mental Health InterventionsEmotion and Mood Recognition

Keywords

BiosignalComputer sciencePersonalizationArtificial intelligenceConvolutional neural networkMachine learningWearable computerArtificial neural networkAffective ComputingBiosignalsMobile SensingStress PredictionSelf-supervised LearningPersonalized Machine Learning