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

Chikara Furusawa

Universal University

ORCID: 0000-0003-3554-4975

Also affiliated with RIKEN Center for Biosystems Dynamics Research, The University of Tokyo

Biochemistry, Genetics and Molecular BiologyEngineering

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

N/A
0Author DataRank · unranked

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 1 paper. Top paper: “A deep learning approach for morphological feature extraction based on variational auto-encoder: an application to mandible shape”.

A deep learning approach for morphological feature extraction based on variational auto-encoder: an application to mandible shape

npj Systems Biology and Applications(2023)10.1038/s41540-023-00293-6
N/A
0.505DataRank · unranked
28 citations

Nen Saito, Daisuke Koyabu, Chikara Furusawa, Masato Tsutsumi