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

Min Shi

State Grid Corporation of China (China)

ORCID: 0000-0002-7200-1702

Also affiliated with Jilin University, First Hospital of Jilin University, State Grid Hebei Electric Power Company, Florida Atlantic University, University of Louisiana at Lafayette

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 4%percentile
0.795Author 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.

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3377552
Top 29%
0.684DataRank
Top 29%27 citations

Yu Tian, Min Shi, Louis R. Pasquale, Lucy Q. Shen, Nazlee Zebardast +3 more

Papers

Driven by 8 papers — median percentile 49. Top paper: “Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization”.

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3377552
Top 29%
0.684DataRank
Top 29%27 citations

Yu Tian, Min Shi, Louis R. Pasquale, Lucy Q. Shen, Nazlee Zebardast +3 more

FairCLIP: Harnessing Fairness in Vision-Language Learning

arXiv (Cornell University)(2024)10.48550/arxiv.2403.19949
Top 72%
0.110DataRank
Top 72%1 citations

Min Shi, Muhammad Osama Khan, Muhammad Muneeb Afzal, Hao Huang, Shuaihang Yuan +7 more

Equitable artificial intelligence for glaucoma screening with fair identity normalization

npj Digital Medicine(2025)10.1038/s41746-025-01432-5
N/A
0DataRank · unranked
6 citations

Yan Luo, Yu Tian, Lucy Q. Shen, Nazlee Zebardast, Mohammad Eslami +6 more

Equitable Deep Learning for Diabetic Retinopathy Detection Using Multidimensional Retinal Imaging With Fair Adaptive Scaling

Translational Vision Science & Technology(2025)10.1167/tvst.14.7.1
N/A
0DataRank · unranked
5 citations

Muhammad Muneeb Afzal, Hao Huang, Congcong Wen, Yan Luo, Muhammad Osama Khan +5 more

Association Between Cup-to-Disc Ratio and Structural and Functional Damage Parameters in Glaucoma: Insights From Multiparametric Modeling

Translational Vision Science & Technology(2025)10.1167/tvst.14.4.17
N/A
0DataRank · unranked
1 citations

Mengyu Wang, Mohammad Eslami, Saber Kazeminasab, Yan Luo, Hannah Rana +6 more

Directed differentiation of ureteric bud and collecting duct organoids from human pluripotent stem cells

Nature Protocols(2023)10.1038/s41596-023-00847-2
N/A
0DataRank · unranked
12 citations

Ping Fu, Joseph V. Bonventre, Kyle W. McCracken, Min Shi

Deep learning model for differentiating thyroid eye disease and orbital myositis on computed tomography (CT) imaging

Orbit(2025)10.1080/01676830.2025.2510587
N/A
0DataRank · unranked
1 citations

Lisa Y. Lin, Min Shi, Mengyu Wang, Ji Han, Nahyoung Grace Lee +1 more

FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging With FairLoRA

IEEE Transactions on Medical Imaging(2025)10.1109/tmi.2025.3622522
N/A
0DataRank · unranked
3 citations

Congcong Wen, Yu Tian, Min Shi, Yan Luo, Hao Huang +3 more