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

Keke Chen

ORCID: 0000-0002-9996-156X
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 2 papers. Top paper: “Confidential machine learning on untrusted platforms: a survey”.

Confidential machine learning on untrusted platforms: a survey

Cybersecurity(2021)10.1186/s42400-021-00092-8
N/A
0DataRank · unranked
15 citations

Keke Chen, Sharma Sagar

TEE-MR: Developer-friendly data oblivious programming for trusted execution environments

Computers & Security(2024)10.1016/j.cose.2024.104119
N/A
0DataRank · unranked
2 citations

Keke Chen, A K M Mubashwir Alam