Dongbin Xiu

16.5k total citations · 6 hit papers
116 papers, 11.6k citations indexed

About

Dongbin Xiu is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Environmental Engineering. According to data from OpenAlex, Dongbin Xiu has authored 116 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Statistics, Probability and Uncertainty, 36 papers in Statistical and Nonlinear Physics and 28 papers in Environmental Engineering. Recurrent topics in Dongbin Xiu's work include Probabilistic and Robust Engineering Design (80 papers), Model Reduction and Neural Networks (30 papers) and Wind and Air Flow Studies (25 papers). Dongbin Xiu is often cited by papers focused on Probabilistic and Robust Engineering Design (80 papers), Model Reduction and Neural Networks (30 papers) and Wind and Air Flow Studies (25 papers). Dongbin Xiu collaborates with scholars based in United States, China and United Kingdom. Dongbin Xiu's co-authors include George Em Karniadakis, Jan S. Hesthaven, Kailiang Wu, Youssef Marzouk, Daniel M. Tartakovsky, Akil Narayan, Jing Li, Tong Qin, John Jakeman and Yeonjong Shin and has published in prestigious journals such as Journal of Computational Physics, International Journal of Heat and Mass Transfer and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Dongbin Xiu

109 papers receiving 11.0k citations

Hit Papers

The Wiener--Askey Polynom... 2002 2026 2010 2018 2002 2005 2003 2010 2009 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dongbin Xiu 8.6k 2.7k 2.6k 2.5k 2.4k 116 11.6k
Roger Ghanem 11.0k 1.3× 6.4k 2.3× 2.4k 0.9× 3.6k 1.4× 2.5k 1.1× 239 15.0k
Pol D. Spanos 7.3k 0.8× 6.8k 2.5× 1.6k 0.6× 2.2k 0.9× 1.1k 0.5× 248 12.7k
Bruno Sudret 7.9k 0.9× 4.8k 1.7× 860 0.3× 1.7k 0.7× 2.5k 1.1× 176 10.9k
Habib N. Najm 3.4k 0.4× 918 0.3× 994 0.4× 1.3k 0.5× 792 0.3× 180 7.4k
Joaquim R. R. A. Martins 3.1k 0.4× 1.8k 0.6× 1.8k 0.7× 653 0.3× 3.1k 1.3× 374 15.3k
Nicholas Zabaras 2.3k 0.3× 1.2k 0.4× 1.5k 0.6× 766 0.3× 1.2k 0.5× 160 7.4k
Olivier Le Maı̂tre 3.6k 0.4× 1.1k 0.4× 929 0.4× 1.4k 0.5× 897 0.4× 127 5.0k
Fabio Nobile 2.9k 0.3× 695 0.3× 944 0.4× 833 0.3× 1.6k 0.7× 128 6.5k
Raúl Tempone 3.7k 0.4× 815 0.3× 927 0.4× 914 0.4× 1.6k 0.7× 137 5.0k
Paris Perdikaris 2.2k 0.3× 1.8k 0.6× 10.6k 4.1× 1.0k 0.4× 877 0.4× 79 20.4k

Countries citing papers authored by Dongbin Xiu

Since Specialization
Citations

This map shows the geographic impact of Dongbin Xiu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dongbin Xiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongbin Xiu more than expected).

Fields of papers citing papers by Dongbin Xiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dongbin Xiu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dongbin Xiu. The network helps show where Dongbin Xiu may publish in the future.

Co-authorship network of co-authors of Dongbin Xiu

This figure shows the co-authorship network connecting the top 25 collaborators of Dongbin Xiu. A scholar is included among the top collaborators of Dongbin Xiu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dongbin Xiu. Dongbin Xiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Yanfang, Yuan Chen, Dongbin Xiu, & Guannan Zhang. (2025). A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical Systems. SIAM Journal on Scientific Computing. 47(5). C1144–C1171.
2.
Chen, Yuan, et al.. (2025). CHEBYSHEV FEATURE NEURAL NETWORK FOR ACCURATE FUNCTION APPROXIMATION. 6(2). 29–42. 1 indexed citations
3.
Chen, Yuan, Dongbin Xiu, & Xiangxiong Zhang. (2025). On Enforcing Nonnegativity in Polynomial Approximations in High Dimensions. SIAM Journal on Scientific Computing. 47(2). A866–A888. 1 indexed citations
4.
Li, H. Alice, et al.. (2024). UNRAVELING CONSUMER PURCHASE JOURNEY USING NEURAL NETWORK MODELS. 5(1). 69–83.
5.
Chen, Yuan & Dongbin Xiu. (2024). Data-driven effective modeling of multiscale stochastic dynamical systems. 2(4). 348–364.
6.
Chen, Yuan, et al.. (2024). Learning stochastic dynamical system via flow map operator. Journal of Computational Physics. 508. 112984–112984. 6 indexed citations
7.
Chen, Yuan, et al.. (2024). MODELING UNKNOWN STOCHASTIC DYNAMICAL SYSTEM VIA AUTOENCODER. 5(3). 87–112. 2 indexed citations
8.
Xiu, Dongbin, et al.. (2023). FLOW MAP LEARNING FOR UNKNOWN DYNAMICAL SYSTEMS: OVERVIEW, IMPLEMENTATION, AND BENCHMARKS. 4(2). 173–201. 8 indexed citations
9.
Chen, Yuan, et al.. (2023). DNN modeling of partial differential equations with incomplete data. Journal of Computational Physics. 493. 112502–112502. 3 indexed citations
10.
Wu, Kailiang, Dongbin Xiu, & Xinghui Zhong. (2021). A WENO-Based Stochastic Galerkin Scheme for Ideal MHD Equations with Random Inputs. Communications in Computational Physics. 30(2). 423–447. 8 indexed citations
11.
Chen, Zhen, et al.. (2021). Deep Neural Network Modeling of Unknown Partial Differential Equations in Nodal Space. arXiv (Cornell University). 33 indexed citations
12.
Wang, Peng, et al.. (2019). A new method for an old topic: Efficient and reliable estimation of material bulk modulus. Computational Materials Science. 165. 7–12. 1 indexed citations
13.
Renardy, Marissa, Tau‐Mu Yi, Dongbin Xiu, & Ching‐Shan Chou. (2018). Parameter uncertainty quantification using surrogate models applied to a spatial model of yeast mating polarization. PLoS Computational Biology. 14(5). e1006181–e1006181. 21 indexed citations
14.
Xiu, Dongbin. (2010). Numerical Methods for Stochastic Computations. Princeton University Press eBooks. 410 indexed citations breakdown →
15.
Xiu, Dongbin. (2009). Fast numerical methods for stochastic computations: A review. Communications in Computational Physics. 5. 242–272. 446 indexed citations breakdown →
16.
Archibald, Richard, Anne Gelb, R. P. Saxena, & Dongbin Xiu. (2009). Discontinuity detection in multivariate space for stochastic simulations. Journal of Computational Physics. 228(7). 2676–2689. 30 indexed citations
17.
Xiu, Dongbin. (2008). Fast numerical methods for robust optimal design. Engineering Optimization. 40(6). 489–504. 8 indexed citations
18.
Xiu, Dongbin & Jie Shen. (2007). An efficient spectral method for acoustic scattering from rough surfaces. Communications in Computational Physics. 2(1). 54–72. 37 indexed citations
19.
Xiu, Dongbin. (2007). Efficient collocational approach for parametric uncertainty analysis. 229 indexed citations
20.
Kirby, Robert M., et al.. (2006). Stochastic Markovian modeling of electrophysiology of ion channels: Reconstruction of standard deviations in macroscopic currents. Journal of Theoretical Biology. 245(4). 627–637. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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