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Perceptual-Centric Image Super-Resolution using Heterogeneous Processors on Mobile Devices

PubMed(2024)10.1145/3636534.3690698Source: DataRank Database

Perceptual-Centric Image Super-Resolution using Heterogeneous Processors on Mobile Devices is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0. It has been cited 6 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access6 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 1.56)OA: goldTopics (20)IDs (PubMed, 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)

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Authors (4)

Xiangyu Yin ORCID,Tao Gu ORCID,Wei Gao ORCID,Kai Huang ORCID

Live enrichment

PubMed:40129861 OpenAlex:https://openalex.org/W4405013858

National Science Foundation

Grant: IIS-2205360

National Science Foundation

Grant: CCF-2217003

National Science Foundation

Grant: CCF-2215042

National Institutes of Health

Grant: R01HL170368

FWCI

1.56

Citation Percentile

0.9%

Citation Trend

2025

2026

goldLicense: cc-by

https://dl.acm.org/doi/pdf/10.1145/3636534.3690698

publisherhttps://dl.acm.org/doi/10.1145/3636534.3690698

https://doi.org/10.1145/3636534.3690698

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40129861

Fields of Study

Advanced Image Processing TechniquesImage and Video Quality AssessmentAdvanced Image Fusion Techniques

Keywords

ComputationComputer scienceMobile deviceImage qualityImage (mathematics)Constraint (computer-aided design)Latency (audio)Image resolutionPerceptionSymmetric multiprocessor systemArtificial intelligenceComputer visionComputational scienceDistributed computingAlgorithmEngineeringTelecommunications

Sustainable Development Goals

SDG 0: Affordable and clean energy