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

Ju Sun

Shanxi Agricultural University

ORCID: 0000-0002-2017-5903

Also affiliated with University of Minnesota, Chinese Academy of Sciences, Panyu District Central Hospital, Institute of Microbiology, Early Warning (United States), Guangzhou Medical University

Physics and AstronomyEngineeringBiochemistry, Genetics and Molecular BiologyComputer 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 6%percentile
0.198Author 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.

A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records

arXiv (Cornell University)(2023)10.48550/arxiv.2303.08448
Top 65%
0.198DataRank
Top 65%2 citations

Nan Wang, Liwei Wang, Ju Sun, Anne Blaes, Hongfang Liu +2 more

Papers

Driven by 10 papers — median percentile 35. Top paper: “A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records”.

A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records

arXiv (Cornell University)(2023)10.48550/arxiv.2303.08448
Top 65%
0.198DataRank
Top 65%2 citations

Nan Wang, Liwei Wang, Ju Sun, Anne Blaes, Hongfang Liu +2 more

A cross-institutional evaluation on breast cancer phenotyping NLP algorithms on electronic health records

Computational and Structural Biotechnology Journal(2023)10.1016/j.csbj.2023.08.018
N/A
0DataRank · unranked
18 citations

Nan Wang, Liwei Wang, Ju Sun, Anne Blaes, Hongfang Liu +2 more

Automated Quantification of Eye Tics Using Computer Vision and Deep Learning Techniques

Movement Disorders(2023)10.1002/mds.29593
N/A
0DataRank · unranked
12 citations

Hengyue Liang, Megan DuBois, Brittany Raab, Mia Kellman, Brianna Wellen +5 more

Interpretable Deep Learning Methods for Multiview Learning

arXiv (Cornell University)(2023)10.48550/arxiv.2302.07930
N/A
0DataRank · unranked
0 citations

Lu Han, Ju Sun, Sandra E. Safo, Hengkang Wang

Federated Learning with Convex Global and Local Constraints

arXiv (Cornell University)(2023)10.48550/arxiv.2310.10117
N/A
0DataRank · unranked
0 citations

Le Peng, Ju Sun, Chuanjiang He

Risk prediction of heart diseases in patients with breast cancer: A deep learning approach with longitudinal electronic health records data

iScience(2024)10.1016/j.isci.2024.110329
N/A
0DataRank · unranked
14 citations

Anne Blaes, Chetan Shenoy, Ju Sun, Rui Zhang, Sicheng Zhou

Interpretable deep learning methods for multiview learning

BMC Bioinformatics(2024)10.1186/s12859-024-05679-9
N/A
0DataRank · unranked
13 citations

Lu Han, Ju Sun, Sandra E. Safo, Hengkang Wang

Unraveling the multiple chronic conditions patterns among people with Alzheimer's disease and related dementia: A machine learning approach to incorporate synergistic interactions

Alzheimer s & Dementia(2024)10.1002/alz.13923
N/A
0DataRank · unranked
5 citations

Ryan Devera, Yue Liang, Razan A. El Khalifa, Ju Sun, Nai‐Ching Chi +4 more

Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals

Journal of the American Medical Informatics Association(2022)10.1093/jamia/ocac188
N/A
0DataRank · unranked
35 citations

Gaoxiang Luo, Andrew Walker, Zachary Zaiman, Emma Jones, Hemant Gupta +12 more

Selective Classification Under Distribution Shifts

arXiv (Cornell University)(2024)10.48550/arxiv.2405.05160
N/A
0DataRank · unranked
0 citations

Le Peng, Ju Sun, Hengyue Liang