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

Multimodal Fusion Interactions: A Study of Human and Automatic Quantification

INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION(2023)10.1145/3577190.3614151Source: DataRank Database

Multimodal Fusion Interactions: A Study of Human and Automatic Quantification is a research paper published in INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION (2023). On theSindex it has a DataRank of 0. It has been cited 5 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access5 citations

Free full text

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 (9 grants)Impact (FWCI 1.30)OA: hybridTopics (22)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)

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 (4)

Yun Cheng ORCID,Ruslan Salakhutdinov ORCID,Louis–Philippe Morency ORCID,Paul Pu Liang ORCID

Live enrichment

PubMed:19767382 OpenAlex:https://openalex.org/W4387421643

National Science Foundation

Grant: 1722822, 1750439

National Institutes of Health

Grant: R01MH125740, R01MH132225, R01MH096951, R21MH130767

Defense Advanced Research Projects Agency

Grant: FA87502321015

Office of Naval Research

Grant: N000141812861, N000142312368

National Institutes of Health

Grant: 5R01MH125740-03

SCH: INT: Collaborative Research: Context-Adaptive Multimodal Informatics for Psychiatric Discharge Planning

National Institutes of Health

Grant: 5R01MH132225-02

Active Social Vision: How the Brain Processes Visual Information During Natural Social Perception

National Institutes of Health

Grant: 5R21MH130767-02

Multimodal Dynamics of Parent-child Interactions and Suicide Risk

National Science Foundation

Grant: 1750439

CAREER: Learning Nonverbal Signatures

National Science Foundation

Grant: 1722822

SCH: INT: Collaborative Research: Dyadic Behavior Informatics for Psychotherapy Process and Outcome

FWCI

1.30

Citation Percentile

0.8%

Citation Trend

2024

2025

2026

hybridLicense: cc-by

conferencehttps://dl.acm.org/doi/pdf/10.1145/3577190.3614151

publisherhttps://dl.acm.org/doi/pdf/10.1145/3577190.3614151

publisherhttps://dl.acm.org/doi/10.1145/3577190.3614151

conferencehttps://doi.org/10.1145/3577190.3614151

https://dx.doi.org/10.48550/arxiv.2306.04125

Fields of Study

Speech and dialogue systemsSentiment Analysis and Opinion MiningAdvanced Text Analysis Techniques0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

ModalitiesComputer scienceCounterfactual thinkingModality (human–computer interaction)Redundancy (engineering)Artificial intelligenceDecompositionMachine learningNatural language processingInformation retrievalFOS: Computer and information sciencesComputer Science - Machine LearningComputer Science - Computation and LanguageComputer Science - Human-Computer InteractionComputation and Language (cs.CL)Machine Learning (cs.LG)Human-Computer Interaction (cs.HC)