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

Yujia Zhou

ORCID: 0000-0003-0889-2261
Computer 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 3%percentile
1.5Author DataRank

Indexed papers

2in 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 2 indexed papers 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.

Privacy-protecting, reliable response data discovery using COVID-19 patient observations

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab054
Top 24%
0.850DataRank
Top 24%17 citations

Larissa Neumann, Paulina Paul, Michele E. Day, Michael Aratow, Douglas S. Bell +55 more

Papers

Driven by 16 papers — median percentile 72. Top paper: “Improving large language models for clinical named entity recognition via prompt engineering”.

Improving large language models for clinical named entity recognition via prompt engineering

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocad259
N/A
0.853DataRank · unranked
293 citations

Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina K. Keloth, Xu Zuo +7 more

Privacy-protecting, reliable response data discovery using COVID-19 patient observations

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab054
Top 24%
0.850DataRank
Top 24%17 citations

Larissa Neumann, Paulina Paul, Michele E. Day, Michael Aratow, Douglas S. Bell +55 more

Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad049
Top 32%
0.623DataRank
Top 32%17 citations

Anh T. Pham, Maxim Edelson, Jihoon Kim, Jason R. Chan, Yash P. Gupta +54 more

DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models

Nature Communications(2022)10.1038/s41467-022-29160-4
N/A
0.510DataRank · unranked
29 citations

Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Jenna Reps, Martijn J. Schuemie +23 more

Functional MRI registration with tissue-specific patch-based functional correlation tensors

UNC Libraries(2024)10.17615/6rvf-m593
N/A
0.208DataRank · unranked
3 citations

Han Zhang, Xiaohuan Cao, Qianjin Feng, Ru Yang, Pew‐Thian Yap +3 more

Extracting language information from clinical notes using large language models

International Journal of Medical Informatics(2025)10.1016/j.ijmedinf.2025.106116
N/A
0.208DataRank · unranked
3 citations

Na Hong, Yujia Zhou, Qianqian Xie, R. Weng, Pitchaya Chairuengjitjaras +12 more

Developing deep learning-based strategies to predict the risk of hepatocellular carcinoma among patients with nonalcoholic fatty liver disease from electronic health records

medRxiv(2023)10.1101/2023.11.17.23298691
N/A
0DataRank · unranked
0 citations

Lan Lan, Yujia Zhou, Ruoxing Li, Kenneth D. Chavin, Hua Xu +4 more

FedFSA: Hybrid and federated framework for functional status ascertainment across institutions

Journal of Biomedical Informatics(2024)10.1016/j.jbi.2024.104623
N/A
0DataRank · unranked
14 citations

Heling Jia, Maria Vassilaki, Vipina K. Keloth, Yifang Dang, Yujia Zhou +13 more

Developing deep learning-based strategies to predict the risk of hepatocellular carcinoma among patients with nonalcoholic fatty liver disease from electronic health records

Journal of Biomedical Informatics(2024)10.1016/j.jbi.2024.104626
N/A
0DataRank · unranked
12 citations

Lan Lan, Yujia Zhou, Ruoxing Li, Kenneth D. Chavin, Hua Xu +4 more

Develop and validate a computable phenotype for the identification of Alzheimer's disease patients using electronic health record data

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring(2024)10.1002/dad2.12613
N/A
0DataRank · unranked
2 citations

Ruoqi Wei, Yu Huang, Zhaoyi Chen, Tianchen Lyu, Sarah Bost +16 more

Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering

arXiv (Cornell University)(2023)10.48550/arxiv.2303.16416
N/A
0DataRank · unranked
67 citations

Chen, Qingyu, Du, Jingcheng, Xueqing Peng, Keloth, Vipina Kuttichi, Xu Zuo +7 more

Causal Discovery in Radiographic Markers of Knee Osteoarthritis and Prediction for Knee Osteoarthritis Severity With Attention–Long Short-Term Memory

Frontiers in Public Health(2020)10.3389/fpubh.2020.604654
N/A
0DataRank · unranked
21 citations

Lei You, Jacqueline Chyr, Lan Lan, Weiling Zhao, Yujia Zhou +4 more

Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa180
N/A
0DataRank · unranked
33 citations

Firat Tiryaki, Yujia Zhou, Yang Xiang, Cui Tao, Hua Xu +2 more

Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab112
N/A
0DataRank · unranked
54 citations

Yujia Zhou, Xiaoqian Jiang, Karthik Natarajan, Serguei Pakhomov, Hongfang Liu +2 more

Prediction of Brain Metastases Development in Patients With Lung Cancer by Explainable Artificial Intelligence From Electronic Health Records

JCO Clinical Cancer Informatics(2023)10.1200/cci.22.00141
N/A
0DataRank · unranked
9 citations

Rongbin Li, Yujia Zhou, Laila Rasmy, Degui Zhi, Ping Zhu +6 more

Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study

Journal of Medical Internet Research(2020)10.2196/16981
N/A
0DataRank · unranked
57 citations

Hangyu Ji, Yujia Zhou, Fang Li, Jingcheng Du, Laila Rasmy +7 more