2026 Dongbin Xiu: Engineering and Technology Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	46	5021	4834	1422	1313	135	20553

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Engineering and Technology

5021

4834

1422

1313

135

20553

Engineering and Technology

D-Index

Citations

20553

World Ranking

5021

National Ranking

1422

Overview

Dongbin Xiu is affiliated with The Ohio State University in the United States. Their research spans several interdisciplinary fields including Computer Science, Physics and Astronomy, and Engineering. They have a significant presence in subfields such as Statistical and Nonlinear Physics, Artificial Intelligence, Statistics, Probability and Uncertainty, Control and Systems Engineering, and Aerospace Engineering.

Their work covers a variety of main topics, prominently featuring Model Reduction and Neural Networks, Probabilistic and Robust Engineering Design, Neural Networks and Applications, Nuclear Engineering Thermal-Hydraulics, Gaussian Processes and Bayesian Inference, Fault Detection and Control Systems, and Control Systems and Identification.

Dongbin Xiu has coauthored multiple publications with several frequent collaborators, notably Victor Churchill, Yuan Chen, Kailiang Wu, Tong Qin, and Zhongshu Xu.

The scientist's recent papers include:

Data-driven deep learning of partial differential equations in modal space, 2020, Journal of Computational Physics
On generalized residual network for deep learning of unknown dynamical systems, 2021, Journal of Computational Physics
Data-Driven Learning of Nonautonomous Systems, 2021, SIAM Journal on Scientific Computing
Deep Neural Network Modeling of Unknown Partial Differential Equations in Nodal Space, 2021, arXiv (Cornell University)
DEEP LEARNING OF PARAMETERIZED EQUATIONS WITH APPLICATIONS TO UNCERTAINTY QUANTIFICATION, 2020, International Journal for Uncertainty Quantification

The frequent publication venues for Dongbin Xiu's research work include:

arXiv (Cornell University)
Journal of Machine Learning for Modeling and Computing
Journal of Computational Physics
SIAM Journal on Scientific Computing
SSRN Electronic Journal

Best Publications

The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations

Dongbin Xiu;George Em Karniadakis

5859
Citations
High-Order Collocation Methods for Differential Equations with Random Inputs

Dongbin Xiu;Jan S. Hesthaven

1989
Citations
Numerical Methods for Stochastic Computations: A Spectral Method Approach

Dongbin Xiu

1943
Citations
Modeling uncertainty in flow simulations via generalized polynomial chaos

Dongbin Xiu;George Em Karniadakis

1796
Citations
Fast numerical methods for stochastic computations: A review

Dongbin Xiu

840
Citations
Modeling Uncertainty in Steady State Diffusion Problems via Generalized Polynomial Chaos

Dongbin Xiu;George Em Karniadakis

735
Citations
Efficient collocational approach for parametric uncertainty analysis

Dongbin Xiu

560
Citations
Numerical Methods for Stochastic Computations

Dongbin Xiu

466
Citations
Stochastic Modeling of Flow-Structure Interactions Using Generalized Polynomial Chaos

Dongbin Xiu;Didier Lucor;C.-H. Su;George Em Karniadakis

378
Citations
A stochastic collocation approach to Bayesian inference in inverse problems

Youssef Marzouk;Dongbin Xiu

356
Citations
Data driven governing equations approximation using deep neural networks

Tong Qin;Kailiang Wu;Dongbin Xiu

290
Citations
A new stochastic approach to transient heat conduction modeling with uncertainty

Dongbin Xiu;George Em Karniadakis

287
Citations
Numerical Methods for Differential Equations in Random Domains

Dongbin Xiu;Daniel M. Tartakovsky

283
Citations
A semi-Lagrangian high-order method for Navier-Stokes equations

Dongbin Xiu;George Em Karniadakis

249
Citations
Evaluation of failure probability via surrogate models

Jing Li;Dongbin Xiu

189
Citations
STOCHASTIC COLLOCATION ALGORITHMS USING 𝓁 1 -MINIMIZATION

Liang Yan;Ling Guo;Dongbin Xiu

184
Citations
A generalized polynomial chaos based ensemble Kalman filter with high accuracy

Jia Li;Dongbin Xiu

174
Citations
Galerkin method for wave equations with uncertain coefficients

David Gottlieb;Dongbin Xiu

167
Citations
A STOCHASTIC COLLOCATION ALGORITHM WITH MULTIFIDELITY MODELS

Akil Narayan;Claude Jeffrey Gittelson;Dongbin Xiu

165
Citations
The Wiener-Askey polynomial chaos for stochastic differential equations

D. B. Xiu

137
Citations