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

Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning

International Journal of Computer Assisted Radiology and Surgery(2022)10.1007/s11548-022-02596-1Source: DataRank Database

Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning is a research paper published in International Journal of Computer Assisted Radiology and Surgery (2022). On theSindex it has a DataRank of 0. It has been cited 36 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access36 citations

Download PDF

Cite:

Linked data & code

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 (3 grants)Impact (FWCI 4.84)OA: greenTopics (30)Linked Datasets (2)DataCite Reuse (2)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

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 (10)

Daeseung Kim ORCID,Xi Fang ORCID,Xuanang Xu ORCID,Tianshu Kuang ORCID,Han Deng ORCID

Live enrichment

PubMed:35362849 OpenAlex:https://openalex.org/W4220839686

National Institutes of Health

Grant: R01 DE022676

National Institutes of Health

Grant: R01 DE027251

National Institutes of Health

Grant: R01 DE021863

FWCI

4.84

Citation Percentile

1.0%

Citation Trend

2022

2023

2024

2025

2026

greenLicense: https://www.springer.com/tdm

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10348467/pdf/nihms-1902785.pdf

GREENhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348467

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10348467/pdf/nihms-1902785.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s11548-022-02596-1.pdf

publisherhttps://link.springer.com/article/10.1007/s11548-022-02596-1/fulltext.html

Fields of Study

Orthodontics and Dentofacial Orthopedics3D Shape Modeling and AnalysisFacial Trauma and Fracture ManagementComputer ScienceMedicineEngineering

MeSH Terms

Deep LearningFaceHumansNeural Networks, ComputerFinite Element AnalysisOrthognathic Surgical ProceduresOrthognathic Surgery

Keywords

Polygon meshComputer scienceFinite element methodBoundary (topology)Artificial intelligenceDeep learningDeformation (meteorology)Surgical planningFace (sociological concept)Artificial neural networkMathematicsStructural engineeringEngineeringSurgeryMedicineComputer graphics (images)Geology

Sustainable Development Goals

SDG 0: Sustainable cities and communities

Additional file 1 of Prediction of orthognathic surgery plan from 3D cephalometric analysis via deep learning

10.6084/m9.figshare.26575961.v1figshare

Additional file 1 of Prediction of orthognathic surgery plan from 3D cephalometric analysis via deep learning

10.6084/m9.figshare.26575961figshare