World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
20553
World Ranking
5023
National Ranking
1423

Dongbin Xiu publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Dongbin Xiu sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 135 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Dongbin Xiu D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Dongbin Xiu sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 46 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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

  • High-Order Collocation Methods for Differential Equations with Random Inputs

    Dongbin Xiu;Jan S. Hesthaven

  • Numerical Methods for Stochastic Computations: A Spectral Method Approach

    Dongbin Xiu

  • Modeling uncertainty in flow simulations via generalized polynomial chaos

    Dongbin Xiu;George Em Karniadakis

  • Fast numerical methods for stochastic computations: A review

    Dongbin Xiu

  • Modeling Uncertainty in Steady State Diffusion Problems via Generalized Polynomial Chaos

    Dongbin Xiu;George Em Karniadakis

  • Efficient collocational approach for parametric uncertainty analysis

    Dongbin Xiu

  • Numerical Methods for Stochastic Computations

    Dongbin Xiu

  • Stochastic Modeling of Flow-Structure Interactions Using Generalized Polynomial Chaos

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

  • A stochastic collocation approach to Bayesian inference in inverse problems

    Youssef Marzouk;Dongbin Xiu

  • Data driven governing equations approximation using deep neural networks

    Tong Qin;Kailiang Wu;Dongbin Xiu

  • A new stochastic approach to transient heat conduction modeling with uncertainty

    Dongbin Xiu;George Em Karniadakis

  • Numerical Methods for Differential Equations in Random Domains

    Dongbin Xiu;Daniel M. Tartakovsky

  • A semi-Lagrangian high-order method for Navier-Stokes equations

    Dongbin Xiu;George Em Karniadakis

  • Evaluation of failure probability via surrogate models

    Jing Li;Dongbin Xiu

  • STOCHASTIC COLLOCATION ALGORITHMS USING 𝓁 1 -MINIMIZATION

    Liang Yan;Ling Guo;Dongbin Xiu

  • A generalized polynomial chaos based ensemble Kalman filter with high accuracy

    Jia Li;Dongbin Xiu

  • Galerkin method for wave equations with uncertain coefficients

    David Gottlieb;Dongbin Xiu

  • A STOCHASTIC COLLOCATION ALGORITHM WITH MULTIFIDELITY MODELS

    Akil Narayan;Claude Jeffrey Gittelson;Dongbin Xiu

  • The Wiener-Askey polynomial chaos for stochastic differential equations

    D. B. Xiu

Frequent Co-Authors

George Em Karniadakis
George Em Karniadakis Brown University
Ioannis G. Kevrekidis
Ioannis G. Kevrekidis Johns Hopkins University
Robert M. Kirby
Robert M. Kirby University of Utah
Shi Jin
Shi Jin Shanghai Jiao Tong University
Spencer J. Sherwin
Spencer J. Sherwin Imperial College London
Jie Shen
Jie Shen Eastern Institute of Technology, Ningbo
Gianluca Iaccarino
Gianluca Iaccarino Stanford University
Jan S. Hesthaven
Jan S. Hesthaven Karlsruhe Institute of Technology
Zhimei Sun
Zhimei Sun Beihang University

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