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

Leo Huang

University of Toronto

ORCID: 0000-0002-7451-4472
NeuroscienceMedicine

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 3 papers. Top paper: “Broadband Untuned Active Cancellation and Phase Correction of Direct Feedthrough Interference Enables 100-fold Improved Magnetic Particle Imaging Detection”.

Broadband Untuned Active Cancellation and Phase Correction of Direct Feedthrough Interference Enables 100-fold Improved Magnetic Particle Imaging Detection

(2023)10.36227/techrxiv.24309607.v1
N/A
0DataRank · unranked
0 citations

Owen Doyle, Kelvin Guo, Arvind Swamynathan, Leo Huang, Justin Garlepp +10 more

Broadband Untuned Active Cancellation and Phase Correction of Direct Feedthrough Interference Enables 100-fold Improved Magnetic Particle Imaging Detection

(2023)10.36227/techrxiv.24309607
N/A
0DataRank · unranked
0 citations

Owen Doyle, Kelvin Guo, Arvind Swamynathan, Leo Huang, Justin Garlepp +10 more

Broadband Untuned Active Cancellation and Phase Correction of Direct Feedthrough Interference Enables 100-fold Improved Magnetic Particle Imaging Detection

Figshare(2023)10.36227/techrxiv.24309607.v2
N/A
0DataRank · unranked
0 citations

Owen Doyle, Kelvin Guo, Arvind Swamynathan, Leo Huang, Justin Garlepp +10 more