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

Classification Logit Two-Sample Testing by Neural Networks for Differentiating Near Manifold Densities

IEEE Transactions on Information Theory(2022)10.1109/tit.2022.3175691Source: DataRank Database

Classification Logit Two-Sample Testing by Neural Networks for Differentiating Near Manifold Densities is a research paper published in IEEE Transactions on Information Theory (2022). On theSindex it has a DataRank of 0. It has been cited 7 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access7 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 (7 grants)Impact (FWCI 0.49)OA: greenTopics (20)IDs (PubMed, PMC, 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)

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 (2)

Alexander Cloninger ORCID,Xiuyuan Cheng ORCID

Live enrichment

PubMed:37810208 PMC:PMC10558099 OpenAlex:https://openalex.org/W4285260241

NIGMS NIH HHS

Grant: R01 GM131642

NSF

Grant: DMS-1820827

NSF

Grant: DMS-1818945

Russel Sage Foundation

Grant: 2196

NSF

Grant: DMS-2012266

Alfred P. Sloan Foundation

Intel Research

FWCI

0.49

Citation Percentile

0.6%

Citation Trend

2022

2023

2024

2026

green

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10558099/pdf/nihms-1850197.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10558099

journalhttps://doi.org/10.1109/tit.2022.3175691

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37810208

Fields of Study

Generative Adversarial Networks and Image SynthesisModel Reduction and Neural NetworksAdvanced Image Processing Techniques

Keywords

LogitCurse of dimensionalityArtificial neural networkComputer scienceKernel (algebra)Artificial intelligenceSample (material)Function (biology)Function approximationMachine learningPattern recognition (psychology)MathematicsAlgorithmMaximum Mean DiscrepancyManifold Data AnalysisNeural Network Approximation TheoryNeural Network Two-Sample Test