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

Yue Yu

Chinese University of Hong Kong, Shenzhen

ORCID: 0000-0002-1906-6902
Biochemistry, 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 6%percentile
0.292Author DataRank

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 →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Feasibility of using real-world data in the evaluation of cardiac ablation catheters: a test-case of the National Evaluation System for Health Technology Coordinating Center

BMJ Surgery Interventions & Health Technologies(2021)10.1136/bmjsit-2021-000089
Top 56%
0.292DataRank
Top 56%6 citations

Guoqian Jiang, Amit Doshi, Daniel J. Friedman, Eric Brandt, Jiajing Chen +13 more

Papers

Driven by 5 papers — median percentile 44. Top paper: “Feasibility of using real-world data in the evaluation of cardiac ablation catheters: a test-case of the National Evaluation System for Health Technology Coordinating Center”.

Feasibility of using real-world data in the evaluation of cardiac ablation catheters: a test-case of the National Evaluation System for Health Technology Coordinating Center

BMJ Surgery Interventions & Health Technologies(2021)10.1136/bmjsit-2021-000089
Top 56%
0.292DataRank
Top 56%6 citations

Guoqian Jiang, Amit Doshi, Daniel J. Friedman, Eric Brandt, Jiajing Chen +13 more

Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study

Scientific Reports(2023)10.1038/s41598-023-27493-8
N/A
0DataRank · unranked
17 citations

Luke V. Rasmussen, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu +13 more

Promotion of longitudinal bone growth by the intake of oat and green onion root water extracts in weaning rats through stimulating growth hormone secretion and elevating gut microbiota related to nervous system-related pathway

Journal of Functional Foods(2023)10.1016/j.jff.2023.105567
N/A
0DataRank · unranked
5 citations

Ting Zhang, Hye Jeong Yang, Yue Yu, Min Jung Kim, Chen Li +4 more

Using real-world data from health systems to evaluate the safety and effectiveness of a catheter to treat ischemic ventricular tachycardia

Journal of Interventional Cardiac Electrophysiology(2023)10.1007/s10840-023-01496-x
N/A
0DataRank · unranked
2 citations

Shumin Zhang, Jiajing Chen, Peter A. Noseworthy, Amit Doshi, Kolade M. Agboola +10 more

Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae137
N/A
0DataRank · unranked
10 citations

Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma +12 more