World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
8559
World Ranking
5679
National Ranking
2582

Han-Wei Shen 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 Han-Wei Shen 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: 262 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Han-Wei Shen 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 Han-Wei Shen 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Han-Wei Shen is affiliated with The Ohio State University in the United States. Their research primarily falls within the field of Computer Science, with a specific focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, and Transportation.

The scientist's work covers a range of topics closely connected to their academic interests. These main topics include:

  • Data Visualization and Analytics
  • Computer Graphics and Visualization Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Explainable Artificial Intelligence (XAI)
  • Advanced Image Processing Techniques
  • Video Analysis and Summarization

Han-Wei Shen has published extensively in various venues, notably contributing 32 papers to the IEEE Transactions on Visualization and Computer Graphics. Other frequent publication venues include arXiv (Cornell University), IEEE Computer Graphics and Applications, Visual Informatics, and the Journal of Visualization.

Some recent papers authored or co-authored by Han-Wei Shen are:

  • A terminology for in situ visualization and analysis systems, 2020, The International Journal of High Performance Computing Applications
  • CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics, 2020, IEEE Transactions on Visualization and Computer Graphics
  • VIS30K: A Collection of Figures and Tables From IEEE Visualization Conference Publications, 2021, IEEE Transactions on Visualization and Computer Graphics
  • GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations, 2022, IEEE Transactions on Visualization and Computer Graphics
  • Visual exploration of latent space for traditional Chinese music, 2020, Visual Informatics

Han-Wei Shen regularly collaborates with a group of frequent co-authors, including Hanqi Guo, Jiayi Xu, Skylar W. Wurster, Haoyu Li, and Tom Peterka. These collaborations reflect ongoing research relationships in topics related to visualization, computer graphics, and machine learning.

Best Publications

  • A near optimal isosurface extraction algorithm using the span space

    Y. Livnat;Han-Wei Shen;C.R. Johnson

  • A fast volume rendering algorithm for time-varying fields using a time-space partitioning (TSP) tree

    Han-Wei Shen;Ling-Jen Chiang;Kwan-Liu Ma

  • View selection for volume rendering

    U.D. Bordoloi;H.-W. Shen

  • Isosurfacing in span space with utmost efficiency (ISSUE)

    Han-Wei Shen;Charles D. Hansen;Yarden Livnat;Christopher R. Johnson

  • Visualizing Changes of Hierarchical Data using Treemaps

    Ying Tu;Han-Wei Shen

  • An Information-Theoretic Framework for Flow Visualization

    Lijie Xu;Teng-Yok Lee;Han-Wei Shen

  • The Top 10 Challenges in Extreme-Scale Visual Analytics

    Pak Chung Wong;Han-Wei Shen;Christopher R. Johnson;Chaomei Chen

  • Visualization and Visual Analysis of Ensemble Data: A Survey

    Junpeng Wang;Subhashis Hazarika;Cheng Li;Han-Wei Shen

  • A new line integral convolution algorithm for visualizing time-varying flow fields

    Han-Wei Shen;D.L. Kao

  • DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks

    Junpeng Wang;Liang Gou;Han-Wei Shen;Hao Yang

  • UFLIC: a line integral convolution algorithm for visualizing unsteady flows

    Han-Wei Shen;David L. Kao

  • Sweeping simplices: a fast iso-surface extraction algorithm for unstructured grids

    Han-Wei Shen;Christopher R. Johnson

  • Information Theory in Scientific Visualization

    Chaoli Wang;Han-Wei Shen

  • Visualizing vector fields using line integral convolution and dye advection

    Han-Wei Shen;Christopher R. Johnson;Kwan-Liu Ma

  • High dimensional direct rendering of time-varying volumetric data

    J. Woodring;Chaoli Wang;Han-Wei Shen

  • Differential volume rendering: a fast volume visualization technique for flow animation

    Han-Wei Shen;Christopher R. Johnson

  • Image-based streamline generation and rendering

    Liya Li;Han-Wei Shen

  • A Study of Parallel Particle Tracing for Steady-State and Time-Varying Flow Fields

    Tom Peterka;Robert Ross;Boonthanome Nouanesengsy;Teng-Yok Lee

  • Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots

    Junpeng Wang;Xiaotong Liu;Han-Wei Shen;Guang Lin

  • Dynamic View Selection for Time-Varying Volumes

    Guangfeng Ji;Han-Wei Shen

  • Multi-variate, Time Varying, and Comparative Visualization with Contextual Cues

    J. Woodring;H.-W. Shen

Frequent Co-Authors

Kwan-Liu Ma
Kwan-Liu Ma University of California, Davis
Chris R. Johnson
Chris R. Johnson University of Utah
Chaoli Wang
Chaoli Wang University of Notre Dame
Robert Ross
Robert Ross Argonne National Laboratory
James Ahrens
James Ahrens Los Alamos National Laboratory
Ivan Viola
Ivan Viola King Abdullah University of Science and Technology
Mateu Sbert
Mateu Sbert University of Girona
Min Chen
Min Chen South China University of Technology
Valerio Pascucci
Valerio Pascucci University of Utah
Ian Foster
Ian Foster University of Chicago

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