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

Xiaobing Yu

ORCID: 0000-0003-3270-0573
Computer 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 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “A generative-discriminative deep learning approach to classify radiology reports based on the presence of follow up recommendations”.

A generative-discriminative deep learning approach to classify radiology reports based on the presence of follow up recommendations

(2023)10.1117/12.2651950
N/A
0.104DataRank · unranked
1 citations

Xiaobing Yu, Aaron Mintz, Jieqi Wang, Mahati Mokkarala, Vamsi R. Narra +4 more

Computational Genomics in the Era of Precision Medicine: Applications to Variant Analysis and Gene Therapy

Journal of Personalized Medicine(2022)10.3390/jpm12020175
N/A
0DataRank · unranked
23 citations

Yuchang Wu, Julie Choi, Garrett Allington, Shujuan Zhao, Mariam Khanfar +12 more

FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning

PubMed(2025)10.1109/cvprw67362.2025.00637
N/A
0DataRank · unranked
0 citations

Jin Yang, Xiao-Ming Wu, Peijie Qiu, Xiaofeng Liu, Xiaobing Yu

Large-Scale Evaluation of Machine Learning Models in Identifying Follow-Up Recommendations in Radiology Reports

Radiology(2025)10.1148/radiol.242167
N/A
0DataRank · unranked
0 citations

Xiaobing Yu, Sung Min Ha, Abdalla Bani, Aaron Mintz, Jieqi Wang +11 more

Superior transplant recipient outcome prediction and pathology assessment using rapid deep learning applied to procurement kidney biopsies

Scientific Reports(2025)10.1038/s41598-025-31667-x
N/A
0DataRank · unranked
0 citations

Jon N. Marsh, Ling Chen, Fan Zhang, Xiaobing Yu, Parker C. Wilson +3 more