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

Mingyan Liu

ORCID: 0000-0003-3295-9200
Decision SciencesEngineeringComputer Science

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 4%percentile
0.684Author 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.

Top 29%23 citations

Boxin Sun, Voyko Kavcic, Mingyan Liu, Bruno Giordani, Tongtong Li +1 more

Papers

Driven by 2 papers — median percentile 71. Top paper: Novel methodology for detection and prediction of mild cognitive impairment using resting‐state EEG.

Top 29%23 citations

Boxin Sun, Voyko Kavcic, Mingyan Liu, Bruno Giordani, Tongtong Li +1 more

ReLiable:Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games

Proceedings of the 31st ACM International Conference on Information & Knowledge Management(2022)10.1145/3511808.3557105
N/A
0DataRank · unranked
12 citations

Jyun‐Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, P. Jeffrey Brantingham +2 more