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

Yudong Yu

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: “Machine learning reveals heterogeneous responses to FAK, Rac, Rho, and Cdc42 inhibition on vascular smooth muscle cell spheroid formation and morphology”.

Machine learning reveals heterogeneous responses to FAK, Rac, Rho, and Cdc42 inhibition on vascular smooth muscle cell spheroid formation and morphology

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.01.30.927616

N/A

0DataRank · unranked

1 citations

Chuangqi Wang, Amanda Krajnik, Yudong Yu, Moses Choi, Bolun Lin +5 more

A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy

Cell Reports Methods(2021)10.1016/j.crmeth.2021.100105

N/A

0DataRank · unranked

31 citations

Chuangqi Wang, Xitong Zhang, Hee June Choi, Xiang Pan, Bolun Lin +6 more

A machine learning pipeline revealing heterogeneous responses to drug perturbations on vascular smooth muscle cell spheroid morphology and formation

Scientific Reports(2021)10.1038/s41598-021-02683-4

N/A

0DataRank · unranked

23 citations

Chuangqi Wang, Amanda Krajnik, Yudong Yu, Moses Choi, Bolun Lin +6 more

Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedance

Artificial Intelligence in Medicine(2023)10.1016/j.artmed.2023.102548

N/A

0DataRank · unranked

21 citations

Chuangqi Wang, Yudong Yu, Nataša Reljin, David D. McManus, Chad E. Darling +4 more