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

Zhenze Yang

Bellevue College

ORCID: 0000-0002-6427-6757

Also affiliated with Chinese Academy of Sciences, Institute of Microelectronics, Intelligent Automation (United States), Wuyi University, Beijing University of Civil Engineering and Architecture, Wuyi University

Materials ScienceEngineeringEnergy

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 5%percentile
0.518Author 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.

Learning the rules of peptide self-assembly through data mining with large language models

Science Advances(2025)10.1126/sciadv.adv1971
Top 37%
0.518DataRank
Top 37%20 citations

Sarah K. Yorke, Tuomas P. J. Knowles, Markus J. Buehler, Zhenze Yang

Papers

Driven by 4 papers — median percentile 63. Top paper: “Artificial intelligence and machine learning in design of mechanical materials”.

Artificial intelligence and machine learning in design of mechanical materials

Materials Horizons(2020)10.1039/d0mh01451f
N/A
0.965DataRank · unranked
623 citations

Zhenze Yang, Chi‐Hua Yu, Markus J. Buehler, Kai Guo

Learning the rules of peptide self-assembly through data mining with large language models

Science Advances(2025)10.1126/sciadv.adv1971
Top 37%
0.518DataRank
Top 37%20 citations

Sarah K. Yorke, Tuomas P. J. Knowles, Markus J. Buehler, Zhenze Yang

Generative multiscale analysis of de novo proteome-inspired molecular structures and nanomechanical optimization using a VoxelPerceiver transformer model

Journal of the Mechanics and Physics of Solids(2022)10.1016/j.jmps.2022.105098
N/A
0DataRank · unranked
14 citations

Yu-Chuan Hsu, Markus J. Buehler, Zhenze Yang

Learning the rules of peptide self-assembly through data mining with large language models

arXiv (Cornell University)(2024)10.48550/arxiv.2411.05421
N/A
0DataRank · unranked
0 citations

Sarah K. Yorke, Tuomas P. J. Knowles, Markus J. Buehler, Zhenze Yang