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

Luyao Chen

Xidian University

ORCID: 0000-0003-4698-5784

Also affiliated with Chinese Academy of Sciences, Sichuan University, Computer Network Information Center

Earth and Planetary SciencesEnvironmental ScienceImmunology and MicrobiologyNeuroscience

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 7%percentile
0.165Author 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.

Descriptor: Benchmarking Secure Neural Network Evaluation Methods for Protein Sequence Classification (iDASH24)

IEEE data descriptions.(2024)10.1109/ieeedata.2024.3482283
Top 70%
0.165DataRank
Top 70%2 citations

Luyao Chen, Miran Kim, Xiaoqian Jiang, Arif Harmanci

Papers

Driven by 6 papers — median percentile 30. Top paper: “Descriptor: Benchmarking Secure Neural Network Evaluation Methods for Protein Sequence Classification (iDASH24)”.

Descriptor: Benchmarking Secure Neural Network Evaluation Methods for Protein Sequence Classification (iDASH24)

IEEE data descriptions.(2024)10.1109/ieeedata.2024.3482283
Top 70%
0.165DataRank
Top 70%2 citations

Luyao Chen, Miran Kim, Xiaoqian Jiang, Arif Harmanci

Drug repurposing for COVID-19 using graph neural network and harmonizing multiple evidence

Scientific Reports(2021)10.1038/s41598-021-02353-5
N/A
0DataRank · unranked
70 citations

Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean I. Savitz, Xiaoqian Jiang +3 more

Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark

Journal of Biomedical Informatics(2022)10.1016/j.jbi.2022.104256
N/A
0DataRank · unranked
28 citations

Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim, Yaobin Ling

Counterfactual analysis of differential comorbidity risk factors in Alzheimer’s disease and related dementias

PLOS Digital Health(2022)10.1371/journal.pdig.0000018
N/A
0DataRank · unranked
7 citations

Kai Zhang, Sean I. Savitz, Luyao Chen, Paul E. Schulz, Xiaoqian Jiang +1 more

A hierarchical strategy to minimize privacy risk when linking “De-identified” data in biomedical research consortia

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104322
N/A
0DataRank · unranked
6 citations

Xiaoqian Jiang, Tsung-Ting Kuo, Shiqiang Tao, Luyao Chen, Pritham M. Ram +3 more

Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer’s Disease Using Deep Learning

PubMed(2023)10.1109/ichi57859.2023.00018
N/A
0DataRank · unranked
2 citations

Yaobin Ling, Luyao Chen, Yejin Kim, Xiaoqian Jiang, Pulakesh Upadhyaya