World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
5071
World Ranking
8539
National Ranking
1118

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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