🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge
Demo corpus. Scores are computed on a select set of biomedical paper/datasets and may be inaccurate for papers outside this corpus — DataRank relies on network effects that improve with scale. We aim to expand this into a fully open resource pending additional funding.

Deep Learning Face Attributes in the Wild

2015 IEEE International Conference on Computer Vision (ICCV)(2015)10.1109/iccv.2015.425Source: DataRank Database
Top 11%
17.0DataRank
17.0Top 11%
7595 citations · base score 8.9
datarank_citation_only_1hop_v4Methodology
Data sources & pipeline
Pipeline:CrossRefSciBERTdoi-metadataOpenAlexDataRank
Enrichment:Pending
FAIR ChecklistContext only (not used in score)
FFindable
Has DOI
AAccessible
IInteroperable
RReusable

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

DataRank Breakdown

Base Component 8%Network Component 92%

Base Score Contribution

1.3

From this paper's citation signal

Citation Network Contribution

15.7

From 187 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (4)

Ping LuoORCID,Xiaogang WangORCID,Xiaoou Tang,Ziwei LiuORCID

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