Min Wu

China University of Geosciences, Ministry of Education of the People's Republic of China, Shandong Institute of Automation, Central South University

Papers

52

Total Citations

1,871

H-Index

19

About

No biography available yet.

Research Focus

Computer science51 · 1,870 citations
Artificial intelligence50 · 1,854 citations
Pattern recognition (psychology)15 · 1,111 citations
Speech recognition10 · 876 citations
Robot31 · 854 citations
Feature (linguistics)11 · 834 citations
Emotion recognition8 · 794 citations
Machine learning15 · 794 citations
Artificial neural network12 · 714 citations
Human–robot interaction14 · 670 citations
Fuzzy logic16 · 552 citations
Feature selection4 · 397 citations

Key Achievements

19
H-Index
52
Papers
1,871
Total Citations
36
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 (7 Papers)
🤝 Key Collaborators: 63
🏛 Institutions: China University of Geosciences, Ministry of Education of the People's Republic of China, Shandong Institute of Automation, Central South University

Top Papers

  1. 1
    Speech emotion recognition based on feature selection and extreme learning machine decision tree
    260 citations · 2017
  2. 2
    Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction
    198 citations · 2017
  3. 3
    Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction
    193 citations · 2019
  4. 4
    Speech emotion recognition based on an improved brain emotion learning model
    169 citations · 2018
  5. 5
    <i>K</i>-Means Clustering-Based Kernel Canonical Correlation Analysis for Multimodal Emotion Recognition in Human–Robot Interaction
    106 citations · 2022
  6. 6
    Weight-Adapted Convolution Neural Network for Facial Expression Recognition in Human–Robot Interaction
    89 citations · 2019
  7. 7
    Electroencephalogram Emotion Recognition Based on Empirical Mode Decomposition and Optimal Feature Selection
    80 citations · 2018
  8. 8
    Three-Layer Weighted Fuzzy Support Vector Regression for Emotional Intention Understanding in Human–Robot Interaction
    74 citations · 2018
  9. 9
    Dynamic Emotion Understanding in Human–Robot Interaction Based on Two-Layer Fuzzy SVR-TS Model
    64 citations · 2017
  10. 10
    Speech emotion recognition based on formant characteristics feature extraction and phoneme type convergence
    63 citations · 2021

Key Collaborators

LCLuefeng Chen33 shared papersZLZhentao Liu19 shared papersWPWitold Pedrycz14 shared papersJSJinhua She13 shared papersKHKaoru Hirota12 shared papersKHKaoru Hirota12 shared papersWCWeihua Cao10 shared papersXLXuzhi Lai8 shared papersMLMin Li7 shared papersMZMengtian Zhou7 shared papersFDFangyan Dong7 shared papersWSWanjuan Su7 shared papersKHKaoru Hirota5 shared papersMHMan Hao5 shared papersYWYawu Wang4 shared papersQMQingxin Meng4 shared papersSDSheng Du3 shared papersRZRi Zhang3 shared papersYYYoichi Yamazaki3 shared papersFYFeng Yu2 shared papers
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