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Machine learning concept in de-spiking process for nuclear resonant vibrational spectra – Automation using no external parameter

Vibrational Spectroscopy(2022)10.1016/j.vibspec.2022.103352Source: DataRank Database

Machine learning concept in de-spiking process for nuclear resonant vibrational spectra – Automation using no external parameter is a research paper published in Vibrational Spectroscopy (2022). On theSindex it has a DataRank of 0. It has been cited 11 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access11 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 1.23)OA: greenTopics (20)IDs (PubMed, 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 (3)

Lei Li ORCID,Hongxin Wang ORCID,Jessie Wang ORCID

Live enrichment

PubMed:40242306 OpenAlex:https://openalex.org/W4210402378

National Institutes of Health

Grant: GM-65440

NIGMS NIH HHS

Grant: R01 GM065440

FWCI

1.23

Citation Percentile

0.8%

Citation Trend

2022

2023

2024

2025

2026

greenLicense: https://doi.org/10.15223/policy-004

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12002406

publisherhttps://api.elsevier.com/content/article/PII:S0924203122000194?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0924203122000194?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.vibspec.2022.103352

Fields of Study

Crystallography and Radiation PhenomenaChemical Synthesis and CharacterizationNuclear Physics and Applications

Keywords

AutomationProcess (computing)Spectral lineChemistryComputer scienceNuclear magnetic resonanceArtificial intelligencePhysicsEngineeringMechanical engineeringQuantum mechanicsOperating systemNRVSautomation with no external parameterde-spikingmachine learning conceptnuclear resonant vibrational spectroscopy