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

Zhuohang Li

Jiangsu University

ORCID: 0000-0001-5559-4094

Also affiliated with Zhejiang Sci-Tech University, Sun Yat-sen University, Southwest Petroleum University, Chinese Academy of Medical Sciences & Peking Union Medical College, Vanderbilt University, Guangdong Province Stomatological Hospital, Sun Yat-sen Memorial Hospital, Nanfang Hospital, Chengdu University, Guangdong Provincial Center for Disease Control and Prevention, Southern Medical University, City University of Macau, University of Science and Technology Beijing

Computer ScienceMaterials ScienceMedicine

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 9 papers. Top paper: “Optimizing Large Language Models for Discharge Prediction: Best Practices in Leveraging Electronic Health Record Audit Logs”.

Optimizing Large Language Models for Discharge Prediction: Best Practices in Leveraging Electronic Health Record Audit Logs

medRxiv(2024)10.1101/2024.09.12.24313594
N/A
0.208DataRank · unranked
3 citations

Chao Yan, Yuyang Yang, Zhuohang Li, Yubo Feng, Bradley Malin +2 more

Analyzing Inference Privacy Risks Through Gradients In Machine Learning

(2024)10.1145/3658644.3690304
N/A
0DataRank · unranked
7 citations

Andrew Lowy, Jing Liu, Toshiaki Koike–Akino, Kieran Parsons, Bradley Malin +2 more

Not the Models You Are Looking For: Traditional ML Outperforms LLMs in Clinical Prediction Tasks

medRxiv(2024)10.1101/2024.12.03.24318400
N/A
0DataRank · unranked
5 citations

Chao Yan, Zhuohang Li, Xinmeng Zhang, Benjamin Collins, You Chen +5 more

Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation

(2024)10.18653/v1/2024.emnlp-main.353
N/A
0DataRank · unranked
2 citations

Jiaxin Zhang, Chao Yan, Kamalika Das, Sricharan Kumar, Murat Kantarcıoğlu +2 more

Analyzing Inference Privacy Risks Through Gradients in Machine Learning

arXiv (Cornell University)(2024)10.48550/arxiv.2408.16913
N/A
0DataRank · unranked
0 citations

Andrew M. Lowy, Jing Liu, Toshiaki Koike–Akino, Kieran Parsons, Bradley Malin +2 more

Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation

arXiv (Cornell University)(2024)10.48550/arxiv.2410.08320
N/A
0DataRank · unranked
0 citations

Jiaxin Zhang, Chao Yan, Kamalika Das, Sricharan Kumar, Murat Kantarcıoğlu +2 more

Large language models are less effective at clinical prediction tasks than locally trained machine learning models

Journal of the American Medical Informatics Association(2025)10.1093/jamia/ocaf038
N/A
0DataRank · unranked
38 citations

Chao Yan, Zhuohang Li, Xinmeng Zhang, Benjamin Collins, You Chen +5 more

Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics

PubMed(2023)10.48550/arxiv.2308.11027
N/A
0DataRank · unranked
6 citations

Chao Yan, Xinmeng Zhang, Gharib Gharibi, Zhijun Yin, Xiaoqian Jiang +2 more

Towards Statistical Factuality Guarantee for Large Vision-Language Models

(2025)10.18653/v1/2025.emnlp-main.576
N/A
0DataRank · unranked
0 citations

Chao Yan, Nicholas J Jackson, Wendi Cui, Bo Li, Jiaxin Zhang +2 more