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

Cheng Jiang

University of Michigan

ORCID: 0000-0003-1759-4960

Also affiliated with Michigan Medicine, Inner Mongolia Medical University

Biochemistry, Genetics and Molecular BiologyMedicineEngineering

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
0.584Author 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.

OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology

PubMed(2022)10.48550/arxiv.2206.08439
Top 34%
0.584DataRank
Top 34%12 citations

Asadur Chowdury, Xinhai Hou, Akhil Kondepudi, Christian W. Freudiger, Kyle Conway +5 more

Papers

Driven by 7 papers — median percentile 66. Top paper: “OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology”.

OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology

PubMed(2022)10.48550/arxiv.2206.08439
Top 34%
0.584DataRank
Top 34%12 citations

Asadur Chowdury, Xinhai Hou, Akhil Kondepudi, Christian W. Freudiger, Kyle Conway +5 more

Automated Segmentation and Severity Analysis of Subdural Hematoma for Patients with Traumatic Brain Injuries

Diagnostics(2020)10.3390/diagnostics10100773
N/A
0.550DataRank · unranked
38 citations

Craig A. Williamson, Cheng Jiang, Ashok Srinivasan, Jayapalli Rajiv Bapuraj, Jonathan Gryak +3 more

A self-supervised framework for learning whole slide representations

arXiv (Cornell University)(2024)10.48550/arxiv.2402.06188
N/A
0.208DataRank · unranked
3 citations

Cheng Jiang, Akhil Kondepudi, Yiwei Lyu, Asadur Chowdury, Honglak Lee +2 more

Visual foundation models for fast, label-free detection of diffuse glioma infiltration

Research Square(2024)10.21203/rs.3.rs-4033133/v1
N/A
0.208DataRank · unranked
3 citations

Akhil Kondepudi, Melike Pekmezci, Xinhai Hou, Katie Scotford, Cheng Jiang +19 more

Protocol to annotate and automate single-cell instance segmentation on stimulated Raman histology using deep learning

STAR Protocols(2025)10.1016/j.xpro.2025.104221
N/A
0.104DataRank · unranked
1 citations

Eric Landgraf, Cheng Jiang, Asadur Chowdury, Akhil Kondepudi, Lin Wang +5 more

Health system learning achieves generalist neuroimaging models

Research Square(2025)10.21203/rs.3.rs-8166797/v1
N/A
0DataRank · unranked
0 citations

Akhil Kondepudi, Akshay Rao, Chenhui Zhao, Yiwei Lyu, Edward Harake +11 more

Fast intraoperative detection of primary central nervous system lymphoma and differentiation from common central nervous system tumors using stimulated Raman histology and deep learning

Neuro-Oncology(2024)10.1093/neuonc/noae270
N/A
0DataRank · unranked
18 citations

Nader Maarouf, Andrew Smith, Daniel Alexander Alber, John Markert, Nicolas K. Goff +18 more