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

Hongxia Hao

ORCID: 0000-0002-4382-200X
Materials SciencePhysics and AstronomyComputer ScienceEconomics, Econometrics and Finance

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 2%percentile
3.7Author 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 6%134 citations

Jie Li, Xingyi Guan, Oufan Zhang, Akshaya Kumar Das, Christopher J. Stein +8 more

Papers

Driven by 3 papers — median percentile 94. Top paper: NewtonNet: a Newtonian message passing network for deep learning of interatomic potentials and forces.

Top 6%134 citations

Jie Li, Xingyi Guan, Oufan Zhang, Akshaya Kumar Das, Christopher J. Stein +8 more

80 citations

Hongxia Hao, Songchen Tan, Xingyi Guan, Katheryn A. Penrod, Dooman Akbarian +9 more

6 citations

Joseph P. Heindel, Xingyi Guan, Itai Leven, Hongxia Hao, Pavithra M. Naullage +9 more