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

Yutong Gao

Chengdu Medical College

ORCID: 0000-0002-4385-7974

NeuroscienceEngineeringMedicine

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: “Transient Intervals of Significantly Different Whole Brain Connectivity Predict Recovery vs. Progression from Mild Cognitive Impairment: New Insights from Interpretable LSTM Classifiers”.

Transient Intervals of Significantly Different Whole Brain Connectivity Predict Recovery vs. Progression from Mild Cognitive Impairment: New Insights from Interpretable LSTM Classifiers

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9871348

N/A

0.104DataRank · unranked

1 citations

Vince D. Calhoun, Robyn L. Miller, Yutong Gao

Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment

Computers in Biology and Medicine(2023)10.1016/j.compbiomed.2023.107005

N/A

0DataRank · unranked

18 citations

Noah Lewis, Vince D. Calhoun, Robyn L. Miller, Yutong Gao

Generative Forecasting of Brain Activity Enhances Alzheimer’s Classification and Interpretation

PubMed(2025)10.1109/embc58623.2025.11253394

N/A

0DataRank · unranked

1 citations

Vince D Calhoun, Robyn L. Miller, Yutong Gao