World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
7550
World Ranking
6903
National Ranking
434

Overview

Min Chen is affiliated with the University of Oxford in the United Kingdom and specializes in computer science, focusing on areas such as data visualization, artificial intelligence, and image analysis techniques. Their research spans multiple subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Management, Signal Processing, and Sociology and Political Science.

Their work covers several main topics, including:

  • Data Visualization and Analytics
  • Data Analysis with R
  • Explainable Artificial Intelligence (XAI)
  • Cell Image Analysis Techniques
  • Image and Video Quality Assessment
  • Image Retrieval and Classification Techniques
  • Scientific Computing and Data Management

Min Chen has contributed numerous publications, with frequent appearances in venues such as arXiv (Cornell University), IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Computer Graphics Forum, and Entropy.

Selected recent papers include:

  • "Dashboard Design Patterns", 2022, IEEE Transactions on Visualization and Computer Graphics
  • "Task-Based Visual Interactive Modeling: Decision Trees and Rule-Based Classifiers", 2021, IEEE Transactions on Visualization and Computer Graphics
  • "Privacy-Preserving Data Visualization: Reflections on the State of the Art and Research Opportunities", 2020, Computer Graphics Forum
  • "The challenges of data in future pandemics", 2022, Epidemics
  • "RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses", 2022, Epidemics

Frequent coauthors include Alfie Abdul-Rahman, Benjamin Bach, Çağatay Turkay, Mateu Sbert, and Saiful Khan. Collaboration with these researchers appears across multiple publications, reflecting a sustained research network.

Best Publications

  • Data, Information, and Knowledge in Visualization

    Min Chen;D. Ebert;H. Hagen;R.S. Laramee

  • Over Two Decades of Integration-Based, Geometric Flow Visualization

    Tony McLoughlin;Robert S. Laramee;Ronald Peikert;Frits H. Post

  • Glyph-based Visualization: Foundations, Design Guidelines, Techniques and Applications

    Rita Borgo;Johannes Kehrer;David H. S. Chung;Eamonn Maguire

  • Boussinesq equations and other systems for small-amplitude long waves in nonlinear dispersive media: II. The nonlinear theory

    J. L. Bona;M. Chen;J. C. Saut

  • An Empirical Study on Using Visual Embellishments in Visualization

    R. Borgo;A. Abdul-Rahman;F. Mohamed;P. W. Grant

  • A Boussinesq system for two-way propagation of nonlinear dispersive waves

    Jerry L. Bona;Min Chen

  • An Information-theoretic Framework for Visualization

    Min Chen;Heike Jäenicke

  • Information visualisation for science and policy: engaging users and avoiding bias

    Greg J. McInerny;Greg J. McInerny;Min Chen;Robin Freeman;David Gavaghan

  • A New Approach to the Construction of Surfaces from Contour Data

    Mark W. Jones;Min Chen

  • Constructive Volume Geometry

    Min Chen;John V. Tucker

  • Feature Aligned Volume Manipulation for Illustration and Visualization

    C.D. Correa;D. Silver;M. Chen

  • VIS4ML: An Ontology for Visual Analytics Assisted Machine Learning

    Dominik Sacha;Matthias Kraus;Daniel A. Keim;Min Chen

  • MatchPad : Interactive Glyph-Based Visualization for Real-Time Sports Performance Analysis

    P. A. Legg;D. H. S. Chung;M. L. Parry;M. W. Jones

  • What May Visualization Processes Optimize

    Min Chen;Amos Golan

  • Multi-Agent Itinerary Planning for Wireless Sensor Networks

    Min Chen;Sergio Gonzalez;Yan Zhang;Victor Leung

  • Incremental unknowns for solving partial differential equations

    Min Chen;Roger Temam

  • An Analysis of Machine- and Human-Analytics in Classification

    Gary K. L. Tam;Vivek Kothari;Min Chen

  • From web data to visualization via ontology mapping

    O. Gilson;N. Silva;P. W. Grant;M. Chen

  • Taxonomy-Based Glyph Design—with a Case Study on Visualizing Workflows of Biological Experiments

    E. Maguire;P. Rocca-Serra;S.-A Sansone;J. Davies

  • Spatial transfer functions: a unified approach to specifying deformation in volume modeling and animation

    M. Chen;D. Silver;A. S. Winter;V. Singh

Frequent Co-Authors

Robert S. Laramee
Robert S. Laramee University of Nottingham
Deborah Silver
Deborah Silver Rutgers, The State University of New Jersey
Mateu Sbert
Mateu Sbert University of Girona
Roger Temam
Roger Temam Indiana University
David S. Ebert
David S. Ebert University of Oklahoma
Benjamin Bach
Benjamin Bach University of Edinburgh
Gerik Scheuermann
Gerik Scheuermann Leipzig University
Daniel Weiskopf
Daniel Weiskopf University of Stuttgart
Luciano Floridi
Luciano Floridi University of Oxford
Charles Hansen
Charles Hansen University of Utah

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