Yugyung Lee

Computer ScienceBiochemistry, Genetics and Molecular Biology

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: “Random forest model for feature-based Alzheimer’s disease conversion prediction from early mild cognitive impairment subjects”.

Random forest model for feature-based Alzheimer’s disease conversion prediction from early mild cognitive impairment subjects

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.17.423213

N/A

0DataRank · unranked

1 citations

Yugyung Lee, for the Alzheimer’s Disease Neuroimaging Initiative, Matthew Velazquez

Integrating local and global attention mechanisms for enhanced oral cancer detection and explainability

Computers in Biology and Medicine(2025)10.1016/j.compbiomed.2025.109841

N/A

0DataRank · unranked

13 citations

Ahmed Albishri, Rong Wang, Yugyung Lee, Syed Jawad Hussain Shah

Social Virtual Influencer Effectiveness: Environmental Factor and Source Trust

Social Marketing Quarterly(2025)10.1177/15245004251342800

N/A

0DataRank · unranked

4 citations

Chen Lou, Ye Wang, Yugyung Lee, Huan Chen

AUSAM: Adaptive Unified Segmentation Anything Model for multi-modality tumor segmentation and enhanced detection in medical imaging

Knowledge-Based Systems(2025)10.1016/j.knosys.2025.113588

N/A

0DataRank · unranked

2 citations

Saeed AlQarni, Syed Jawad Hussain Shah, Yugyung Lee, Suraj Sood