Suk Jin Lee

EngineeringMaterials ScienceComputer Science

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 1 paper. Top paper: “Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI”.

Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI

IEEE Journal of Translational Engineering in Health and Medicine(2021)10.1109/jtehm.2021.3076152

N/A

0DataRank · unranked

40 citations

H. Michael Gach, Siyong Kim, Suk Jin Lee, Yuichi Motai, Seonyeong Park