Wei‐Hung Weng

Computer ScienceBiochemistry, Genetics and Molecular BiologyMedicine

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 7%percentile

0.143Author 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging

arXiv (Cornell University)(2020)10.48550/arxiv.2003.09070

Top 70%

0.143DataRank

Top 70%1 citations

Shuhang Wang, Wei‐Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk +4 more

Papers

Driven by 6 papers — median percentile 30. Top paper: “ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders”.