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Small target worker detection based on improved YOLOv12 for large construction scenes

Automation in Construction(2026)10.1016/j.autcon.2025.106722Source: DataRank Database

Small target worker detection based on improved YOLOv12 for large construction scenes is a research paper published in Automation in Construction (2026). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Impact (FWCI 3.30)OA: closedTopics (10)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Xiaoyan Liu ORCID,Yufeng Yin

Live enrichment

PubMed:26207759 OpenAlex:https://openalex.org/W7115576456

FWCI

3.30

Citation Percentile

0.9%

Citation Trend

2026

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

publisherhttps://api.elsevier.com/content/article/PII:S0926580525007629?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0926580525007629?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.autcon.2025.106722

Fields of Study

Occupational Health and Safety ResearchInfrastructure Maintenance and MonitoringAdvanced Neural Network Applications

Keywords

Bounding overwatchObject detectionFuse (electrical)Task (project management)Boosting (machine learning)Key (lock)Minimum bounding box

Sustainable Development Goals

SDG 0: Industry, innovation and infrastructure

Small target worker detection based on improved YOLOv12 for large construction scenes

FAIR Checklist

Authors (2)

Impact

Open Access

Topics