World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
5071
World Ranking
8538
National Ranking
1118

Nan Cao 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 Nan Cao 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: 156 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Nan Cao 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 Nan Cao 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Nan Cao is affiliated with Tongji University in China and has contributed extensively to the field of computer science, particularly in data visualization and analytics. Their research spans several subfields such as computer vision and pattern recognition, artificial intelligence, sociology and political science, molecular biology, and statistical and nonlinear physics.

The scientist's main areas of work include:

  • Data Visualization and Analytics
  • Video Analysis and Summarization
  • Multimedia Communication and Technology
  • Complex Network Analysis Techniques
  • Innovative Human-Technology Interaction
  • Advanced Text Analysis Techniques
  • Species Distribution and Climate Change

Nan Cao has published numerous papers in leading venues, with frequent publications in:

  • IEEE Transactions on Visualization and Computer Graphics
  • arXiv (Cornell University)
  • Journal of Visualization
  • Proceedings of the ACM on Human-Computer Interaction
  • ACM Transactions on Interactive Intelligent Systems

Their recent selected papers include:

  • "Development and Validation of a Deep Learning Model for Non-Small Cell Lung Cancer Survival" (2020), published in JAMA Network Open
  • "Calliope: Automatic Visual Data Story Generation from a Spreadsheet" (2020), published in IEEE Transactions on Visualization and Computer Graphics
  • "Survey on Visual Analysis of Event Sequence Data" (2021), published in IEEE Transactions on Visualization and Computer Graphics
  • "Understanding Design Collaboration Between Designers and Artificial Intelligence: A Systematic Literature Review" (2023), published in Proceedings of the ACM on Human-Computer Interaction
  • "A Design Space for Applying the Freytag's Pyramid Structure to Data Stories" (2021), published in IEEE Transactions on Visualization and Computer Graphics

Frequent collaborators in their research include Yang Shi, Qing Chen, Zhuochen Jin, Xingyu Lan, and Shunan Guo.

The body of work demonstrates a focus on integrating computational techniques with complex human-centered challenges in data representation and interaction. The cross-disciplinary elements involving sociology, molecular biology, and physics suggest an application of computer science methods beyond traditional boundaries, addressing diverse scientific questions through computational visualization and analysis.

Best Publications

  • Whisper: Tracing the Spatiotemporal Process of Information Diffusion in Real Time

    Nan Cao;Yu-Ru Lin;Xiaohua Sun;D. Lazer

  • #FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media

    Jian Zhao;Nan Cao;Zhen Wen;Yale Song

  • FacetAtlas: Multifaceted Visualization for Rich Text Corpora

    Nan Cao;Jimeng Sun;Yu-Ru Lin;D Gotz

  • DICON: Interactive Visual Analysis of Multidimensional Clusters

    Nan Cao;D. Gotz;J. Sun;Huamin Qu

  • TargetVue: Visual Analysis of Anomalous User Behaviors in Online Communication Systems

    Nan Cao;Conglei Shi;Sabrina Lin;Jie Lu

  • SmallBlue: Social Network Analysis for Expertise Search and Collective Intelligence

    Ching-Yung Lin;Nan Cao;Shi Xia Liu;Spiros Papadimitriou

  • Calliope: Automatic Visual Data Story Generation from a Spreadsheet

    Danqing Shi;Xinyue Xu;Fuling Sun;Yang Shi

  • A Survey on Visual Analytics of Social Media Data

    Yingcai Wu;Nan Cao;David Gotz;Yap-Peng Tan

  • Voila: Visual Anomaly Detection and Monitoring with Streaming Spatiotemporal Data

    Nan Cao;Chaoguang Lin;Qiuhan Zhu;Yu-Ru Lin

  • Understanding Design Collaboration Between Designers and Artificial Intelligence: A Systematic Literature Review

    Unknown

  • A Survey on Visual Analysis of Event Sequence Data

    Yi Guo;Shunan Guo;Zhuochen Jin;Smiti Kaul

  • MultiVis: Content-Based Social Network Exploration through Multi-way Visual Analysis.

    Jimeng Sun;Spiros Papadimitriou;Ching Yung Lin;Nan Cao

  • EventThread: Visual Summarization and Stage Analysis of Event Sequence Data

    Shunan Guo;Ke Xu;Rongwen Zhao;David Gotz

  • A relative similarity based method for interactive patient risk prediction

    Buyue Qian;Xiang Wang;Nan Cao;Hongfei Li

  • Introduction to Text Visualization

    Nan Cao;Weiwei Cui

  • SocialHelix: visual analysis of sentiment divergence in social media

    Nan Cao;Lu Lu;Yu-Ru Lin;Fei Wang

  • Vinci: An Intelligent Graphic Design System for Generating Advertising Posters

    Shunan Guo;Zhuochen Jin;Fuling Sun;Jingwen Li

  • Adaptive Contextualization: Combating Bias During High-Dimensional Visualization and Data Selection

    David Gotz;Shun Sun;Nan Cao

  • Exploring the associations between drug side-effects and therapeutic indications

    Fei Wang;Ping Zhang;Nan Cao;Jianying Hu

  • Evaluation of Graph Sampling: A Visualization Perspective

    Yanhong Wu;Nan Cao;Daniel Archambault;Qiaomu Shen

  • Visual Progression Analysis of Event Sequence Data

    Shunan Guo;Zhuochen Jin;David Gotz;Fan Du

  • Survey on Visual Analysis of Event Sequence Data

    Yi Guo;Shunan Guo;Zhuochen Jin;Smiti Kaul

Frequent Co-Authors

David Gotz
David Gotz University of North Carolina at Chapel Hill
Shixia Liu
Shixia Liu Tsinghua University
Yu-Ru Lin
Yu-Ru Lin University of Pittsburgh
Huamin Qu
Huamin Qu Hong Kong University of Science and Technology
Jimeng Sun
Jimeng Sun University of Illinois at Urbana-Champaign
Hanghang Tong
Hanghang Tong University of Illinois at Urbana-Champaign
Yingcai Wu
Yingcai Wu Zhejiang University
Jingrui He
Jingrui He University of Illinois at Urbana-Champaign
Weihong Qian
Weihong Qian Peking University
Ching-Yung Lin
Ching-Yung Lin National Chi Nan University

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