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

Zhengyang Zhou

South China Agricultural University

ORCID: 0000-0003-4728-7347

Also affiliated with South China University of Technology

EngineeringSocial SciencesComputer 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 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases”.

Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases

Journal of Biomedical Informatics(2024)10.1016/j.jbi.2024.104677
N/A
0.396DataRank · unranked
13 citations

Liqin Wang, Zhengyang Zhou, John Laurentiev, Joshua R. Lakin, Li Zhou +2 more

Testing and Evaluation of Generative Large Language Models in Electronic Health Record Applications: A Systematic Review

medRxiv(2024)10.1101/2024.08.11.24311828
N/A
0DataRank · unranked
26 citations

Zhengyang Zhou, Yifei Wang, Ya‐Wen Chuang, Yiming Li, Richard Yang +9 more

AI-assisted literature screening: A hybrid approach using large language models and retrieval-augmented generation

International Journal of Medical Informatics(2025)10.1016/j.ijmedinf.2025.106205
N/A
0DataRank · unranked
5 citations

Xinsong Du, Yifei Wang, Xinyu Chen, Zhengyang Zhou, John Lian +4 more

A Clinically-Informed Framework for Evaluating Vision-Language Models in Radiology Report Generation: Taxonomy of Errors and Risk-Aware Metric

medRxiv(2025)10.1101/2025.07.13.25331222
N/A
0DataRank · unranked
3 citations

Peter C. Hou, Pengyu Hong, Liqin Wang, Wenyu Zhang, Xinsong Du +3 more