Bingran Shen

Courant Institute of Mathematical Sciences

Also affiliated with New York University

Computer ScienceBiochemistry, Genetics and Molecular Biology

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 3 papers. Top paper: “An Adaptive Stacking Ensemble Approach to Network Inference Outperforms Any Single Method”.

An Adaptive Stacking Ensemble Approach to Network Inference Outperforms Any Single Method

Research Square(2022)10.21203/rs.3.rs-1456294/v1

N/A

0DataRank · unranked

1 citations

Gloria M. Coruzzi, Dennis Shasha, Bingran Shen

EnsInfer: a simple ensemble approach to network inference outperforms any single method

BMC Bioinformatics(2023)10.1186/s12859-023-05231-1

N/A

0DataRank · unranked

7 citations

Gloria M. Coruzzi, Dennis Shasha, Bingran Shen

Bipartite networks represent causality better than simple networks: evidence, algorithms, and applications

Frontiers in Genetics(2024)10.3389/fgene.2024.1371607

N/A

0DataRank · unranked

2 citations

Gloria M. Coruzzi, Dennis Shasha, Bingran Shen