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

Shouyi Wang

Cooperative Institute for Research in Environmental Sciences

ORCID: 0000-0002-9046-6474

Also affiliated with University of Colorado Boulder, The University of Texas at Arlington, University of Colorado System, State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, PetroChina Southwest Oil and Gas Field Company (China), Woods Hole Oceanographic Institution

NeuroscienceEnvironmental ScienceEngineeringEarth and Planetary Sciences

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: “Sensitivity analysis of FDG PET tumor voxel cluster radiomics and dosimetry for predicting mid-chemoradiation regional response of locally advanced lung cancer”.

Sensitivity analysis of FDG PET tumor voxel cluster radiomics and dosimetry for predicting mid-chemoradiation regional response of locally advanced lung cancer

Physics in Medicine and Biology(2020)10.1088/1361-6560/abb0c7
N/A
0.736DataRank · unranked
14 citations

W. Art Chaovalitwongse, Fangyun Bai, Daniel S. Hippe, Shouyi Wang, Phawis Thammasorn +10 more

GWO+RuleFit: rule-based explainable machine-learning combined with heuristics to predict mid-treatment FDG PET response to chemoradiation for locally advanced non-small cell lung cancer

Physics in Medicine and Biology(2024)10.1088/1361-6560/ad6118
N/A
0.208DataRank · unranked
3 citations

Qiantuo Liu, Jiajie Wang, Qianqian Tong, Fangyun Bai, Jie Han +5 more

Multitask Learning Radiomics on Longitudinal Imaging to Predict Survival Outcomes following Risk-Adaptive Chemoradiation for Non-Small Cell Lung Cancer

Cancers(2022)10.3390/cancers14051228
N/A
0DataRank · unranked
38 citations

Dominic Maes, Daniel S. Hippe, Phawis Thammasorn, Reza Iranzad, Jie Han +7 more

Structure-Based Classification of CRISPR/Cas9 Proteins: A Machine Learning Approach to Elucidating Cas9 Allostery

Journal of Molecular Biology(2025)10.1016/j.jmb.2025.169538
N/A
0DataRank · unranked
0 citations

Vindi M. Jayasinghe‐Arachchige, Charlene R Norgan Radler, Shouyi Wang, Jin Liu, Sita Sirisha Madugula