Liu Yang

Physics and AstronomyDecision SciencesComputer 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 3 papers. Top paper: “B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data”.

B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data

Journal of Computational Physics(2020)10.1016/j.jcp.2020.109913

N/A

1.0DataRank · unranked

994 citations

Xuhui Meng, George Em Karniadakis, Liu Yang

Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker--Planck Equation and Physics-Informed Neural Networks

SIAM Journal on Scientific Computing(2021)10.1137/20m1360153

N/A

0.723DataRank · unranked

123 citations

Liu Yang, Jinqiao Duan, George Em Karniadakis, Xiaoli Chen

Learning functional priors and posteriors from data and physics

Journal of Computational Physics(2022)10.1016/j.jcp.2022.111073

N/A

0.606DataRank · unranked

56 citations

Liu Yang, Zhiping Mao, José del Águila Ferrandis, George Em Karniadakis, Xuhui Meng