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

Yu Ji

North China Electric Power University

ORCID: 0000-0002-3741-5627

Also affiliated with State Grid Corporation of China (China), Chinese Academy of Medical Sciences & Peking Union Medical College, China Electric Power Research Institute, Hebei Institute of Physical Education

EngineeringMedicineComputer 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 2%percentile
2.6Author 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.

Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200159
Top 10%
2.1DataRank
Top 10%57 citations

Heather M. Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L. Giger +1 more

Papers

Driven by 6 papers — median percentile 75. Top paper: “Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI”.

Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200159
Top 10%
2.1DataRank
Top 10%57 citations

Heather M. Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L. Giger +1 more

Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset

Journal of Medical Imaging(2022)10.1117/1.jmi.9.3.034502
Top 40%
0.481DataRank
Top 40%8 citations

Heather M. Whitney, Yu Ji, Alexandra Edwards, John Papaioannou, Peifang Liu +2 more

Harmonization of radiomic features of breast lesions across international DCE-MRI datasets

Journal of Medical Imaging(2020)10.1117/1.jmi.7.1.012707
N/A
0DataRank · unranked
41 citations

Hui Li, Yu Ji, Peifang Liu, Maryellen L. Giger, Heather M. Whitney

Multi-Stage Harmonization for Robust AI across Breast MR Databases

Cancers(2021)10.3390/cancers13194809
N/A
0DataRank · unranked
8 citations

Hui Li, Yu Ji, Peifang Liu, Maryellen L. Giger, Heather M. Whitney

Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI

Radiology(2023)10.1148/radiol.220984
N/A
0DataRank · unranked
23 citations

Heather M. Whitney, Hui Li, Peifang Liu, Maryellen L. Giger, Xuening Zhang +1 more

406P Neoadjuvant chemo-immunotherapy versus neoadjuvant chemoradiotherapy for locally advanced esophageal squamous cell carcinoma

Annals of Oncology(2024)10.1016/j.annonc.2024.05.320
N/A
0DataRank · unranked
0 citations

Min Fang, Yue Jiang, K. Tao, Yu Ji, X. Wang