🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

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

Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-Core Coprocessor

2014 IEEE International Parallel & Distributed Processing Symposium Workshops(2014)10.1109/ipdpsw.2014.194Source: DataRank Database

Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-Core Coprocessor is a research paper published in 2014 IEEE International Parallel & Distributed Processing Symposium Workshops (2014). On theSindex it has a DataRank of 1.9. It has been cited 22 times, with 22 citing works in its 1-hop citation network.

N/A

1.9DataRank · unranked

Scored on demand from live citation data

22 citations · 22 citing works in its network

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:OA: closedTopics (13)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

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.

DataRank Breakdown

Base Score 24%Citation Network 76%

Base Score Contribution

0.470

From this paper's citation signal

Citation Network Contribution

1.5

From 21 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (5)

Zhaokang Wang,Rong Gu,Chunfeng Yuan,Yihua Huang,Lei Jin ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W2085105049

closed

publisherhttp://xplorestaging.ieee.org/ielx7/6967893/6969353/06969570.pdf?arnumber=6969570

https://doi.org/10.1109/ipdpsw.2014.194

Fields of Study

Machine Learning and ELMGenerative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Keywords

Xeon PhiCoprocessorXeonComputer scienceParallel computingSpeedupAutoencoderArtificial intelligenceArtificial neural networkAlgorithm

Related Papers (5)

N/A

1.7DataRank · unranked

Nature(2015)

co-cited

10.1038/nature14539

Multi-column deep neural network for traffic sign classification

N/A

1.0DataRank · unranked

Neural Networks(2012)

co-cited

10.1016/j.neunet.2012.02.023

Going deeper with convolutions

N/A

1.6DataRank · unranked

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)(2015)

co-cited

10.1109/cvpr.2015.7298594

Learning long‐range vision for autonomous off‐road driving

N/A

0.864DataRank · unranked

Journal of Field Robotics(2009)

co-cited

10.1002/rob.20276

Gradient-based learning applied to document recognition

N/A

1.6DataRank · unranked

Proceedings of the IEEE(1998)

co-cited

10.1109/5.726791