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

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.

Top 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: 3D Neural Networks for Visceral and Subcutaneous Adipose Tissue Segmentation using Volumetric Multi-Contrast MRI.

3D Neural Networks for Visceral and Subcutaneous Adipose Tissue Segmentation using Volumetric Multi-Contrast MRI

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2021)10.1109/embc46164.2021.9630110
N/A
0.292DataRank · unranked
6 citations

Shu‐Fu Shih, Xin-Zhou Li, Shilpy Chowdhury, Spencer Loong, Samuel Barnes +3 more

15 citations

Sevgi Gökçe Kafalı, Kara L. Calkins, Holden H. Wu, Shu‐Fu Shih

12 citations

Tess Armstrong, Shu‐Fu Shih, Grace Kim, Joseph L. Holtrop, Robert S. Venick +6 more

3 citations

Bradley D. Bolster, Shu‐Fu Shih, Timoteo Delgado, Vibhas Deshpande, Xiaodong Zhong +5 more