World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5026
World Ranking
12624
National Ranking
5113

Xiao-Chuan Cai publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Xiao-Chuan Cai sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 168 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Xiao-Chuan Cai D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Xiao-Chuan Cai sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2016 - SIAM Fellow For advances in scalable implicit methods for linear and nonlinear partial differential equations and wide application in science and engineering.

Overview

Xiao-Chuan Cai is affiliated with the University of Colorado Boulder in the United States. Their research primarily spans the fields of engineering, medicine, and computer science, with substantial contributions to computational mechanics and related subfields.

The scientist's work focuses on areas such as advanced numerical methods in computational mathematics, matrix theory and algorithms, numerical methods in engineering, and computational fluid dynamics and aerodynamics. Additional topics include cardiovascular health and disease prevention, lattice Boltzmann simulation studies, and elasticity and material modeling.

Frequent publication venues for Xiao-Chuan Cai include:

  • Journal of Computational Physics
  • International Journal for Numerical Methods in Biomedical Engineering
  • SIAM Journal on Scientific Computing
  • SSRN Electronic Journal
  • Journal of research in applied mathematics.

They have collaborated repeatedly with coauthors such as Rongliang Chen, Bokai Wu, Zhengzheng Yan, Yingzhi Liu, and Shanlin Qin.

Recent papers authored by Xiao-Chuan Cai showcase a focus on numerical simulation and parallel computing techniques applied to medical and engineering problems. These include:

  • Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images, 2021, Artificial Intelligence in Medicine
  • Efficient parallel simulation of hemodynamics in patient-specific abdominal aorta with aneurysm, 2021, Computers in Biology and Medicine
  • Fully implicit hybrid two-level domain decomposition algorithms for two-phase flows in porous media on 3D unstructured grids, 2020, Journal of Computational Physics
  • A parallel non-nested two-level domain decomposition method for simulating blood flows in cerebral artery of stroke patient, 2020, International Journal for Numerical Methods in Biomedical Engineering
  • Numerical Simulation of Blood Flows in Patient-specific Abdominal Aorta with Primary Organs, 2021, Biomechanics and Modeling in Mechanobiology

Xiao-Chuan Cai's contributions have been recognized by the Society for Industrial and Applied Mathematics (SIAM), which named them a SIAM Fellow in 2016. The citation for this distinction highlights advances in scalable implicit methods for linear and nonlinear partial differential equations and their wide application in science and engineering.

Best Publications

  • A Restricted Additive Schwarz Preconditioner for General Sparse Linear Systems

    Xiao-Chuan Cai;Marcus Sarkis

  • Nonlinearly Preconditioned Inexact Newton Algorithms

    Xiao-Chuan Cai;David E. Keyes

  • Additive Schwarz algorithms for parabolic convection-diffusion equations

    Xiao-Chuan Cai

  • Domain Decomposition Algorithms for Indefinite Elliptic Problems

    Xiao-Chuan Cai;Olof B. Widlund

  • Parallel Newton--Krylov--Schwarz Algorithms for the Transonic Full Potential Equation

    Xiao-Chuan Cai;William D. Gropp;David E. Keyes;Robin G. Melvin

  • Multiplicative Schwarz methods for parabolic problems

    Xiao-Chuan Cai

  • Scalable parallel methods for monolithic coupling in fluid-structure interaction with application to blood flow modeling

    Andrew T. Barker;Xiao-Chuan Cai

  • Newton-Krylov-Schwarz Methods in CFD

    X.-C. Cai;W. D. Gropp;D. E. Keyes;M. D. Tidriri

  • A fully implicit parallel algorithm for simulating the non‐linear electrical activity of the heart

    Maria Murillo;Xiao-Chuan Cai

  • A fully implicit domain decomposition based ALE framework for three-dimensional fluid-structure interaction with application in blood flow computation

    Yuqi Wu;Xiao-Chuan Cai

  • A parallel nonlinear additive Schwarz preconditioned inexact Newton algorithm for incompressible Navier-Stokes equations

    Feng-Nan Hwang;Xiao-Chuan Cai

  • Multiplicative Schwarz algorithms for some nonsymmetric and indefinite problems

    Xiao-Chuan Cai;Olof B. Widlund

  • A comparison of some domain decomposition and ILU preconditioned iterative methods for nonsymmetric elliptic problems

    Xiao‐Chuan ‐C Cai;William D Gropp;David E. Keyes;David E. Keyes

  • Non-linear additive Schwarz preconditioners and application in computational fluid dynamics

    Xiao-Chuan Cai;David E. Keyes;Leszek Marcinkowski

  • Overlapping domain decomposition algorithms for general sparse matrices

    Xiao Chuan Cai;Yousef Saad

  • Overlapping Nonmatching Grid Mortar Element Methods for Elliptic Problems

    Xiao-Chuan Cai;Maksymilian Dryja;Marcus Sarkis

  • Parallel Full Space SQP Lagrange--Newton--Krylov--Schwarz Algorithms for PDE-Constrained Optimization Problems

    Ernesto E. Prudencio;Richard Byrd;Xiao-Chuan Cai

  • Overlapping Schwarz Algorithms for Solving Helmholtz''s Equation

    X. Cai;M. A. Casarin;F. W. Elliot;O. B. Widlund

  • Some Domain Decomposition Algorithms for Nonselfadjoint Elliptic and Parabolic Partial Differential Equations

    Olof B. Widlund;Xiao-Chuan Cai

  • A class of parallel two-level nonlinear Schwarz preconditioned inexact Newton algorithms ☆

    Feng Nan Hwang;Xiao Chuan Cai

Frequent Co-Authors

David E. Keyes
David E. Keyes King Abdullah University of Science and Technology
William Gropp
William Gropp University of Illinois at Urbana-Champaign
Olof B. Widlund
Olof B. Widlund Courant Institute of Mathematical Sciences
Jia Liu
Jia Liu Tsinghua University
Richard H. Byrd
Richard H. Byrd University of Colorado Boulder
Iain S. Duff
Iain S. Duff Rutherford Appleton Laboratory
Yousef Saad
Yousef Saad University of Minnesota
Michele Benzi
Michele Benzi Scuola Normale Superiore di Pisa
Howard C. Elman
Howard C. Elman University of Maryland, College Park
Raymond S. Tuminaro
Raymond S. Tuminaro Sandia National Laboratories

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