Ying-Chun Pan

Health ProfessionsMedicineDentistry

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: “Feasibility of using acceleration-derived jerk to quantify bimanual arm use”.

Feasibility of using acceleration-derived jerk to quantify bimanual arm use

Journal of NeuroEngineering and Rehabilitation(2020)10.1186/s12984-020-0653-2

N/A

0DataRank · unranked

20 citations

Brianna M. Goodwin, Emily K. Sabelhaus, Keshia M. Peters, Kristie Bjornson, Kelly Pham +3 more

ROI-Free Assessment of In-vivo Image Quality with Feature Extraction and the Earth Mover's Distance

2022 IEEE International Ultrasonics Symposium (IUS)(2022)10.1109/ius54386.2022.9958669

N/A

0DataRank · unranked

0 citations

Brett Byram, Susan S. Eagle, Ryan J. Lefevre, Ying-Chun Pan

Overcoming Labeled Data Barriers in Deep Ultrasound Imaging

(2024)10.23919/eusipco63174.2024.10715405

N/A

0DataRank · unranked

0 citations

Emelina Vienneau, Ryan J. Lefevre, Susan S. Eagle, Brett Byram, Ying-Chun Pan