Fangzhou Mu

Computer SciencePhysics and Astronomy

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 4 papers. Top paper: “An approachable, flexible and practical machine learning workshop for biologists”.

An approachable, flexible and practical machine learning workshop for biologists

Bioinformatics(2022)10.1093/bioinformatics/btac233

N/A

0.344DataRank · unranked

5 citations

Fangzhou Mu, Rosemary S. Russ, Milica Cvetkovic, Debora Treu, Anthony Gitter +1 more

An approachable, flexible, and practical machine learning workshop for biologists

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.03.479008

N/A

0DataRank · unranked

2 citations

Fangzhou Mu, Rosemary S. Russ, Milica Cvetkovic, Debora Treu, Anthony Gitter +1 more

Sensorless End-to-End Freehand 3-D Ultrasound Reconstruction With Physics-Guided Deep Learning

IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control(2024)10.1109/tuffc.2024.3465214

N/A

0DataRank · unranked

10 citations

Fangzhou Mu, Yin Li, Tomy Varghese, Yimeng Dou

SnAG: Scalable and Accurate Video Grounding

arXiv (Cornell University)(2024)10.48550/arxiv.2404.02257

N/A

0DataRank · unranked

0 citations

Sicheng Mo, Yin Li, Fangzhou Mu