Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Probabilistic detection of impacts using the PFEEL algorithm with a Gaussian Process Regression Model

Engineering Structures(2023)10.1016/j.engstruct.2023.116255Source: DataRank Database

Probabilistic detection of impacts using the PFEEL algorithm with a Gaussian Process Regression Model is a research paper published in Engineering Structures (2023). On theSindex it has a DataRank of 0. It has been cited 9 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access9 citations

Download PDF

Cite:

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 (2 grants)Impact (FWCI 1.20)OA: greenTopics (31)IDs (PubMed, PMC, OpenAlex)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)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (4)

Juan M. Caicedo ORCID,Zhaoshuo Jiang ORCID,Jean Michel Franco ORCID,Yohanna MejiaCruz ORCID

Live enrichment

PubMed:37388706 PMC:PMC10300558 OpenAlex:https://openalex.org/W4380244335

National Institutes of Health

Grant: R01AG067395

National Institute on Aging

FWCI

1.20

Citation Percentile

0.8%

Influential Citations

Citation Trend

2023

2024

2025

2026

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10300558/pdf/nihms-1907333.pdf

BRONZEhttps://www.sciencedirect.com/science/article/am/pii/S0141029623006703

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10300558/pdf/nihms-1907333.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0141029623006703?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0141029623006703?httpAccept=text/plain

Fields of Study

Structural Health Monitoring TechniquesAnomaly Detection Techniques and ApplicationsFault Detection and Control SystemsMedicineEngineeringEnvironmental ScienceComputer Science

Keywords

Probabilistic logicKrigingComputer scienceGaussian processEvent (particle physics)Range (aeronautics)Data miningCalibrationProcess (computing)FadingAlgorithmStatistical modelGaussianMachine learningArtificial intelligenceEngineeringMathematicsStatisticsEvent DetectionGaussian Process RegressionGprStructural VibrationsProbabilistic Event DetectionPfeel Algorithm

Sustainable Development Goals

SDG 0: Sustainable cities and communities