Zhentao Liu

China University of Geosciences, Shandong Institute of Automation, Ministry of Education of the People's Republic of China, Tokyo Institute of Technology, Central South University, Intelligent Automation (United States)

Papers

40

Total Citations

1,353

H-Index

16

About

No biography available yet.

Research Focus

Computer science39 · 1,345 citations
Artificial intelligence38 · 1,343 citations
Pattern recognition (psychology)12 · 893 citations
Speech recognition8 · 651 citations
Emotion recognition5 · 582 citations
Robot26 · 576 citations
Feature (linguistics)6 · 533 citations
Human–robot interaction14 · 464 citations
Machine learning5 · 448 citations
Artificial neural network4 · 402 citations
Expression (computer science)6 · 378 citations
Facial expression8 · 373 citations

Key Achievements

16
H-Index
40
Papers
1,353
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Speech emotion recognition based on feature selection and extreme learning machine decision tree
260 citations · 2017
📈 Most Prolific Year: 2017 (8 Papers)
🤝 Key Collaborators: 71
🏛 Institutions: China University of Geosciences, Shandong Institute of Automation, Ministry of Education of the People's Republic of China, Tokyo Institute of Technology, Central South University, Intelligent Automation (United States)

Top Papers

  1. 1
    Speech emotion recognition based on feature selection and extreme learning machine decision tree
    260 citations · 2017
  2. 2
    A facial expression emotion recognition based human-robot interaction system
    179 citations · 2017
  3. 3
    Speech emotion recognition based on an improved brain emotion learning model
    169 citations · 2018
  4. 4
    Weight-Adapted Convolution Neural Network for Facial Expression Recognition in Human–Robot Interaction
    89 citations · 2019
  5. 5
    Electroencephalogram Emotion Recognition Based on Empirical Mode Decomposition and Optimal Feature Selection
    80 citations · 2018
  6. 6
    Three-Layer Weighted Fuzzy Support Vector Regression for Emotional Intention Understanding in Human–Robot Interaction
    74 citations · 2018
  7. 7
    Dynamic Emotion Understanding in Human–Robot Interaction Based on Two-Layer Fuzzy SVR-TS Model
    64 citations · 2017
  8. 8
    Speech emotion recognition based on formant characteristics feature extraction and phoneme type convergence
    63 citations · 2021
  9. 9
    A multimodal emotional communication based humans-robots interaction system
    38 citations · 2016
  10. 10
    Emotion-Age-Gender-Nationality Based Intention Understanding in Human–Robot Interaction Using Two-Layer Fuzzy Support Vector Regression
    33 citations · 2015

Key Collaborators

MWMin Wu19 shared papersWCWeihua Cao14 shared papersLCLuefeng Chen14 shared papersJSJinhua She11 shared papersMHMan Hao8 shared papersKHKaoru Hirota8 shared papersFDFangyan Dong8 shared papersRZRi Zhang5 shared papersYYYoichi Yamazaki5 shared papersDLDanyun Li5 shared papersSLSihan Li4 shared papersJMJun-Wei Mao4 shared papersCJCheng-Shan Jiang4 shared papersMZMengtian Zhou4 shared papersKHKaoru Hirota3 shared papersJXJianping Xu3 shared papersZYZhaohui Yang2 shared papersGTGuanzheng Tan2 shared papersMLMeiliu Li2 shared papersQXQiao Xie2 shared papers
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