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

Jun Ma

University Health Network

ORCID: 0000-0002-9739-0855

Also affiliated with Capital Medical University, University of Toronto, Hong Kong University of Science and Technology, Nanjing University of Science and Technology, Beijing Tian Tan Hospital, Vector Institute, Intelligent Health (United Kingdom), University of Hong Kong

MedicineComputer 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 1%percentile
7.2Author 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.

The Liver Tumor Segmentation Benchmark (LiTS)

Medical Image Analysis(2022)10.1016/j.media.2022.102680
Top 2%
7.2DataRank
Top 2%1181 citations

Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis +95 more

Papers

Driven by 7 papers — median percentile 98. Top paper: “The Liver Tumor Segmentation Benchmark (LiTS)”.

The Liver Tumor Segmentation Benchmark (LiTS)

Medical Image Analysis(2022)10.1016/j.media.2022.102680
Top 2%
7.2DataRank
Top 2%1181 citations

Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis +95 more

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge

IEEE Transactions on Medical Imaging(2021)10.1109/tmi.2021.3055428
N/A
0DataRank · unranked
108 citations

Kun Gao, Zhengwang Wu, Guannan Li, Xiaopeng Zong, Zhihao Lei +30 more

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

arXiv (Cornell University)(2021)10.48550/arxiv.2112.10074
N/A
0DataRank · unranked
7 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?

IEEE Transactions on Pattern Analysis and Machine Intelligence(2021)10.1109/tpami.2021.3100536
N/A
0DataRank · unranked
406 citations

Yao Zhang, Song Gu, Cheng Zhu, Cheng Ge, Yichi Zhang +12 more

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results

The Journal of Machine Learning for Biomedical Imaging(2022)10.59275/j.melba.2022-354b
N/A
0DataRank · unranked
53 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2405.18435
N/A
0DataRank · unranked
5 citations

Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler +75 more

SAMScore: A Content Structural Similarity Metric for Image Translation Evaluation

IEEE Transactions on Artificial Intelligence(2025)10.1109/tai.2025.3535456
N/A
0DataRank · unranked
4 citations

Meixu Chen, Kai Wang, Jun Ma, Alan C. Bovik, You Zhang +1 more