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

Yijun Shao

University of Southern California

ORCID: 0000-0001-6419-7963

Also affiliated with United States Department of Veterans Affairs, George Washington University, Veterans Health Administration, Washington University Medical Center, Washington DC VA Medical Center, Duke Kunshan University

Computer ScienceMedicineBiochemistry, Genetics and Molecular Biology

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 7%percentile
0.165Author 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.

Modeling the Impact of Social Determinants of Health on COVID Behaviors in Older Adults using the All of Us Dataset

2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)(2022)10.1109/ichi54592.2022.00055
Top 70%
0.165DataRank
Top 70%2 citations

Yijun Shao, Yan Cheng, Youxuan Ling, Qing Zeng‐Treitler, Stuart J. Nelson +1 more

Papers

Driven by 14 papers — median percentile 30. Top paper: “Enhancing Clinical Data Analysis by Explaining Interaction Effects between Covariates in Deep Neural Network Models”.

Enhancing Clinical Data Analysis by Explaining Interaction Effects between Covariates in Deep Neural Network Models

Journal of Personalized Medicine(2023)10.3390/jpm13020217
N/A
0.269DataRank · unranked
5 citations

Ali Ahmed, Edward Zamrini, Yan Cheng, Joseph L. Goulet, Qing Zeng‐Treitler +1 more

Modeling the Impact of Social Determinants of Health on COVID Behaviors in Older Adults using the All of Us Dataset

2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)(2022)10.1109/ichi54592.2022.00055
Top 70%
0.165DataRank
Top 70%2 citations

Yijun Shao, Yan Cheng, Youxuan Ling, Qing Zeng‐Treitler, Stuart J. Nelson +1 more

Accuracies of Training Labels and Machine Learning Models: Experiments on Delirium and Simulated Data

Studies in health technology and informatics(2022)10.3233/shti220161
N/A
0DataRank · unranked
2 citations

Yijun Shao, James L. Rudolph, Charlene Weir, Beth Sahlmann, Qing Zeng‐Treitler +1 more

Detecting Use of Patient Dietary Supplements in Free Text Clinical Notes

Research Square(2022)10.21203/rs.3.rs-2121730/v1
N/A
0DataRank · unranked
0 citations

T. Elizabeth Workman, Yijun Shao, Yan Cheng, Jennifer H. Garvin, Cynthia Brandt +2 more

Cardiorespiratory fitness and risk of Alzheimer's disease and related dementias among American veterans

Alzheimer s & Dementia(2023)10.1002/alz.12998
N/A
0DataRank · unranked
19 citations

Edward Zamrini, Charles Faselis, Douglas Redd, Yijun Shao, Charity J. Morgan +5 more

Hybrid Value-Aware Transformer Architecture for Joint Learning from Longitudinal and Non-Longitudinal Clinical Data

medRxiv(2023)10.1101/2023.03.09.23287046
N/A
0DataRank · unranked
5 citations

Yan Cheng, Stuart J. Nelson, Peter Kokkinos, Edward Zamrini, Ali Ahmed +2 more

Evaluating and Reducing Subgroup Disparity in AI Models: An Analysis of Pediatric COVID-19 Test Outcomes

medRxiv(2024)10.1101/2024.09.18.24313889
N/A
0DataRank · unranked
3 citations

Jonah T. Treitler, Tadas Vasaitis, Yijun Shao, Alexander Libin

A Novel Explainable AI Method to Assess Associations between Temporal Patterns in Patient Trajectories and Adverse Outcome Risks: Analyzing Fitness as a Risk Factor of ADRD

medRxiv(2024)10.1101/2024.05.17.24307541
N/A
0DataRank · unranked
0 citations

Edward Zamrini, Ali Ahmed, Yan Cheng, Stuart J. Nelson, Peter Kokkinos +3 more

Evaluating and Reducing Subgroup Disparity in AI Models Predicting Pediatric COVID-19 Test Outcomes

(2024)10.1109/bigdata62323.2024.10825572
N/A
0DataRank · unranked
0 citations

Jonah T. Treitler, Tadas Vasaitis, Yijun Shao, Alexander Libin

Oral magnesium and outcomes in US veterans with heart failure

European Heart Journal(2025)10.1093/eurheartj/ehaf881
N/A
0DataRank · unranked
5 citations

Rebecca B. Costello, Gregg C. Fonarow, Paul A. Heidenreich, Charity J. Morgan, Charles Faselis +15 more

Serum Magnesium, Prescribed Magnesium Replacement and Cardiovascular Events in Adults with Type 2 Diabetes: A National Cohort Study in U.S. Veterans

medRxiv(2025)10.1101/2025.05.19.25327928
N/A
0DataRank · unranked
0 citations

Yan Cheng, Andrew R. Zullo, Yijun Shao, Helen Sheriff, Charles Faselis +5 more

Shedding Light on the Black Box: Explaining Deep Neural Network Prediction of Clinical Outcomes

Journal of Medical Systems(2021)10.1007/s10916-020-01701-8
N/A
0DataRank · unranked
42 citations

Yan Cheng, Rashmee U. Shah, Charlene Weir, Bruce E. Bray, Qing Zeng‐Treitler +1 more

Association Between Over-the-Counter Magnesium Supplement Use and Health Outcomes in Veterans with Newly Diagnosed Heart Failure

Nutrients(2025)10.3390/nu17233687
N/A
0DataRank · unranked
0 citations

Andrew R. Zullo, Ying Yin, Yijun Shao, Senait Tekle, Simin Liu +3 more

Understanding Demographic Risk Factors for Adverse Outcomes in COVID-19 Patients: Explanation of a Deep Learning Model

Journal of Healthcare Informatics Research(2021)10.1007/s41666-021-00093-9
N/A
0DataRank · unranked
21 citations

Ali Ahmed, Angelike P. Liappis, Charles Faselis, Stuart J. Nelson, Qing Zeng‐Treitler +1 more