World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7019
World Ranking
9289
National Ranking
3952

Tao Ju 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 Tao Ju 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: 138 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Tao Ju 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 Tao Ju 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Tao Ju is affiliated with Washington University in St. Louis in the United States. Their primary research area lies within Computer Science, with a focus on several subfields and main topics that span multiple scientific disciplines.

The main fields of study associated with Tao Ju include:

  • Computer Science

The subfields of study in which Tao Ju has published research are:

  • Computer Graphics and Computer-Aided Design
  • Computational Mechanics
  • Materials Chemistry
  • Plant Science
  • Computer Vision and Pattern Recognition

The key research topics covered by Tao Ju are:

  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Computational Geometry and Mesh Generation
  • Crystallization and Solubility Studies
  • X-ray Diffraction in Crystallography
  • Cancer Genomics and Diagnostics
  • Advanced Numerical Analysis Techniques

Tao Ju has frequently published in several venues, including:

  • ACM Transactions on Graphics
  • The Cambridge Structural Database
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature

Among their recent papers are:

  • "Spatially restricted drivers and transitional cell populations cooperate with the microenvironment in untreated and chemo-resistant pancreatic cancer" (2022, Nature Genetics)
  • "Tumour evolution and microenvironment interactions in 2D and 3D space" (2024, Nature)
  • "Comprehensive 3D phenotyping reveals continuous morphological variation across genetically diverse sorghum inflorescences" (2020, New Phytologist)
  • "Extraction and recovery of bioactive soluble phenolic compounds from brocade orange (Citrus sinensis) peels: Effect of different extraction methods thereon" (2022, LWT)
  • "Lifting simplices to find injectivity" (2020, ACM Transactions on Graphics)

Frequent coauthors with Tao Ju include:

  • Xingyi Du
  • Qingnan Zhou
  • Reyka G. Jayasinghe
  • John M. Herndon
  • Erik Storrs

Best Publications

  • Dual contouring of hermite data

    Tao Ju;Frank Losasso;Scott Schaefer;Joe Warren

  • Mean value coordinates for closed triangular meshes

    Tao Ju;Scott Schaefer;Joe Warren

  • The Human Tumor Atlas Network: Charting Tumor Transitions Across Space and Time at Single-Cell Resolution

    Orit Rozenblatt-Rosen;Aviv Regev;Aviv Regev;Aviv Regev;Philipp Oberdoerffer;Tal Nawy

  • Robust repair of polygonal models

    Tao Ju

  • Modifying the shape of NURBS surfaces with geometric constraints

    Shi-Min Hu;Youfu Li;Tao Ju;Xiang Zhu

  • Identification of secondary structure elements in intermediate-resolution density maps.

    Matthew L. Baker;Tao Ju;Wah Chiu

  • Efficient affinity-based edit propagation using K-D tree

    Kun Xu;Yong Li;Tao Ju;Shi-Min Hu

  • Fixing geometric errors on polygonal models: a survey

    Tao Ju

  • Surface Reconstruction From Non‐parallel Curve Networks

    Lu Liu;Chandrajit Bajaj;Joseph Deasy;Daniel A. Low

  • Computing a family of skeletons of volumetric models for shape description

    Tao Ju;Matthew L. Baker;Wah Chiu

  • 3D volume reconstruction of a mouse brain from histological sections using warp filtering

    Tao Ju;Joe Warren;James P. Carson;Musodiq Bello

  • Manifold Dual Contouring

    S. Schaefer;T. Ju;J. Warren

  • Modeling protein structure at near atomic resolutions with Gorgon

    Matthew L. Baker;Sasakthi S. Abeysinghe;Stephen Schuh;Ross A. Coleman

  • Reusable skinning templates using cage-based deformations

    Tao Ju;Qian-Yi Zhou;Michiel van de Panne;Daniel Cohen-Or

  • Popup: automatic paper architectures from 3D models

    Xian-Ying Li;Chao-Hui Shen;Shi-Sheng Huang;Tao Ju

  • Geometric interpretation of the gamma dose distribution comparison technique: interpolation-free calculation.

    Tao Ju;Tim Simpson;Joseph O. Deasy;Daniel A. Low

  • Cubic mean value coordinates

    Xian-Ying Li;Tao Ju;Shi-Min Hu

  • Topology Repair of Solid Models Using Skeletons

    Qian-Yi Zhou;Tao Ju;Shi-Min Hu

  • Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis

    Xiaofan Zhang;Hang Dou;Tao Ju;Jun Xu

  • Instant Propagation of Sparse Edits on Images and Videos

    Yong Li;Tao Ju;Shi-Min Hu

  • Variational implicit point set surfaces

    Zhiyang Huang;Nathan Carr;Tao Ju

Frequent Co-Authors

Wah Chiu
Wah Chiu Stanford University
Ioannis A. Kakadiaris
Ioannis A. Kakadiaris University of Houston
Shi-Min Hu
Shi-Min Hu Tsinghua University
Scott Schaefer
Scott Schaefer Texas A&M University
Daniel Cohen-Or
Daniel Cohen-Or Tel Aviv University
Hao Zhang
Hao Zhang Simon Fraser University
Niloy J. Mitra
Niloy J. Mitra University College London
Ariel Shamir
Ariel Shamir Reichman University
Gregor Eichele
Gregor Eichele Max Planck Society
Aviv Regev
Aviv Regev Genentech

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