Fangyan Dong

Tokyo Institute of Technology, Ningbo University

Papers

27

Total Citations

381

H-Index

11

About

No biography available yet.

Research Focus

Computer science27 · 381 citations
Artificial intelligence26 · 374 citations
Robot24 · 346 citations
Fuzzy logic14 · 277 citations
Human–computer interaction18 · 228 citations
Human–robot interaction8 · 212 citations
Psychology10 · 191 citations
Expression (computer science)7 · 123 citations
Support vector machine3 · 112 citations
Mathematics7 · 103 citations
Space (punctuation)7 · 100 citations
Social psychology5 · 98 citations

Key Achievements

11
H-Index
27
Papers
381
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Three-Layer Weighted Fuzzy Support Vector Regression for Emotional Intention Understanding in Human–Robot Interaction
74 citations · 2018
📈 Most Prolific Year: 2015 (5 Papers)
🤝 Key Collaborators: 54
🏛 Institutions: Tokyo Institute of Technology, Ningbo University

Top Papers

  1. 1
    Three-Layer Weighted Fuzzy Support Vector Regression for Emotional Intention Understanding in Human–Robot Interaction
    74 citations · 2018
  2. 2
    Information-Driven Multirobot Behavior Adaptation to Emotional Intention in Human–Robot Interaction
    50 citations · 2017
  3. 3
    Emotion-Age-Gender-Nationality Based Intention Understanding in Human–Robot Interaction Using Two-Layer Fuzzy Support Vector Regression
    33 citations · 2015
  4. 4
    Concept of Fuzzy Atmosfield for Representing Communication Atmosphere and its Application to Humans-Robots Interaction
    28 citations · 2013
  5. 5
    Fuzzy Inference-Based Mentality Expression for Eye Robot in Affinity Pleasure-Arousal Space
    26 citations · 2009
  6. 6
    Fuzzy Inference based Mentality Expression for Eye Robot in Affinity Pleasure-Arousal Space
    25 citations · 2008
  7. 7
    Bloch Sphere-Based Representation for Quantum Emotion Space
    18 citations · 2015
  8. 8
    Development of Mascot Robot System in NEDO project
    17 citations · 2008
  9. 9
    Multi-robot behavior adaptation to local and global communication atmosphere in humans-robots interaction
    16 citations · 2014
  10. 10
    Adapting Multi-Robot Behavior to Communication Atmosphere in Humans-Robots Interaction Using Fuzzy Production Rule Based Friend-Q Learning
    13 citations · 2013

Key Collaborators

KHKaoru Hirota17 shared papersYYYoichi Yamazaki14 shared papersZLZhentao Liu8 shared papersLCLuefeng Chen7 shared papersMWMin Wu7 shared papersKHKaoru Hirota6 shared papersPKPetar Kormushev4 shared papersHVHai Vu4 shared papersPQPhuc Q. Le4 shared papersYUYukiko Uehara4 shared papersYJYuta J. Masuda3 shared papersJSJinhua She2 shared papersKOKazuhiro Ohnishi2 shared papersMZMengtian Zhou2 shared papersYTYongkang Tang2 shared papersKNKohei Nomoto2 shared papersKHKaoru Hirota2 shared papersTSTakanori Shibata2 shared papersMMMakoto Motoki1 shared papersQLQingjie Liu1 shared papers
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