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

Taiyu Zhu

King's College London

ORCID: 0000-0002-9782-3470

Also affiliated with South London and Maudsley NHS Foundation Trust, Warneford Hospital, University of Oxford, NIHR Maudsley Dementia Biomedical Research Unit

MedicineBiochemistry, Genetics and Molecular BiologyHealth ProfessionsPhysics and Astronomy

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.

N/A
0Author DataRank · unranked

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 1 paper. Top paper: “Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning”.

Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning

IEEE Transactions on Biomedical Engineering(2023)10.1109/tbme.2022.3187703
N/A
0.731DataRank · unranked
130 citations

Kezhi Li, Pau Herrero, Pantelis Georgiou, Taiyu Zhu