World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
4198
World Ranking
8803
National Ranking
96

Overview

Yuan Yao is affiliated with National Tsing Hua University in Taiwan and has published extensively in the field of engineering, with a focus on control and systems engineering. Their research spans various subfields including mechanics of materials, mechanical engineering, artificial intelligence, and statistics, probability, and uncertainty.

Their recent publications cover topics such as fault detection, thermography, and industrial process monitoring. Key papers include:

  • "A review on autoencoder based representation learning for fault detection and diagnosis in industrial processes" (2022) published in Chemometrics and Intelligent Laboratory Systems
  • "Generative Principal Component Thermography for Enhanced Defect Detection and Analysis" (2020) published in IEEE Transactions on Instrumentation and Measurement
  • "Deep Autoencoder Thermography for Defect Detection of Carbon Fiber Composites" (2022) published in IEEE Transactions on Industrial Informatics
  • "Graph convolutional network soft sensor for process quality prediction" (2023) published in Journal of Process Control
  • "Development of Adversarial Transfer Learning Soft Sensor for Multigrade Processes" (2020) published in Industrial & Engineering Chemistry Research

The scientist frequently collaborates with several coauthors, notably:

  • Yi Liu
  • Kaixin Liu
  • Стефано Сфарра
  • Jianguo Wang
  • Jianguo Yang

Yuan Yao's work appears regularly in publication venues such as:

  • Computers & Chemical Engineering
  • 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)
  • Industrial & Engineering Chemistry Research
  • Quantitative InfraRed Thermography Journal
  • Polymers

The main topics of their research include:

  • Fault Detection and Control Systems
  • Thermography and Photoacoustic Techniques
  • Mineral Processing and Grinding
  • Industrial Vision Systems and Defect Detection
  • Advanced Control Systems Optimization
  • Advanced Statistical Process Monitoring
  • Advanced Data Processing Techniques

This body of work reflects a research agenda centered predominantly on engineering challenges associated with industrial processes, fault detection, and quality control through innovative applications of machine learning and data-driven techniques.

Best Publications

  • A survey on multistage/multiphase statistical modeling methods for batch processes

    Yuan Yao;Furong Gao

  • Ensemble deep kernel learning with application to quality prediction in industrial polymerization processes

    Yi Liu;Chao Yang;Zengliang Gao;Yuan Yao

  • Deep Autoencoder Thermography for Defect Detection of Carbon Fiber Composites

    Unknown

  • Domain adaptation transfer learning soft sensor for product quality prediction

    Yi Liu;Chao Yang;Kaixin Liu;Bocheng Chen

  • Two-dimensional dynamic PCA for batch process monitoring

    Ningyun Lu;Yuan Yao;Furong Gao;Fuli Wang

  • Statistical analysis and online monitoring for multimode processes with between-mode transitions

    Chunhui Zhao;Yuan Yao;Furong Gao;Fuli Wang

  • Phase and transition based batch process modeling and online monitoring

    Yuan Yao;Furong Gao

  • Sparse Principal Component Thermography for Subsurface Defect Detection in Composite Products

    Jin-Yi Wu;Stefano Sfarra;Yuan Yao

  • Generative Principal Component Thermography for Enhanced Defect Detection and Analysis

    Kaixin Liu;Yingjie Li;Jianguo Yang;Yi Liu

  • Variable selection method for fault isolation using least absolute shrinkage and selection operator (LASSO)

    Zhengbing Yan;Yuan Yao

  • Simplified Granger causality map for data-driven root cause diagnosis of process disturbances

    Yi Liu;Han-Sheng Chen;Haibin Wu;Yun Dai

  • Systematic Procedure for Granger-Causality-Based Root Cause Diagnosis of Chemical Process Faults

    Han-Sheng Chen;Zhengbing Yan;Yuan Yao;Tsai-Bang Huang

  • Development of Adversarial Transfer Learning Soft Sensor for Multigrade Processes

    Yi Liu;Chao Yang;Chao Yang;Mingtao Zhang;Yun Dai

  • Improved non-destructive testing of carbon fiber reinforced polymer (CFRP) composites using pulsed thermograph

    Kaiyi Zheng;Yu-Sung Chang;Kai-Hong Wang;Yuan Yao

  • Utilizing transition information in online quality prediction of multiphase batch processes

    Zhiqiang Ge;Zhiqiang Ge;Luping Zhao;Yuan Yao;Zhihuan Song

  • Statistical analysis and online monitoring for handling multiphase batch processes with varying durations

    Chunhui Zhao;Shengyong Mo;Furong Gao;Ningyun Lu

  • Defect detection in CFRP structures using pulsed thermographic data enhanced by penalized least squares methods

    Kaiyi Zheng;Yu-Sung Chang;Yuan Yao

  • Spatial-Neighborhood Manifold Learning for Nondestructive Testing of Defects in Polymer Composites

    Yi Liu;Kaixin Liu;Jianguo Yang;Yuan Yao

  • Active thermography testing and data analysis for the state of conservation of panel paintings

    Yuan Yao;Stefano Sfarra;Susana Lagüela;Susana Lagüela;Clemente Ibarra-Castanedo

  • Multilinear model decomposition of MIMO nonlinear systems and its implication for multilinear model-based control

    Jingjing Du;Chunyue Song;Yuan Yao;Ping Li

  • Independent component thermography for non-destructive testing of defects in polymer composites

    Yi Liu;Jin-Yi Wu;Kaixin Liu;Hsiu-Li Wen

  • The multi-dimensional ensemble empirical mode decomposition (MEEMD): An advanced tool for thermographic diagnosis of mosaics

    Yuan Yao;Stefano Sfarra;Stefano Sfarra;Stefano Sfarra;Clemente Ibarra-Castanedo;Renchun You

Frequent Co-Authors

Furong Gao
Furong Gao Hong Kong University of Science and Technology
Chunhui Zhao
Chunhui Zhao Zhejiang University
David Shan-Hill Wong
David Shan-Hill Wong National Tsing Hua University
Xavier Maldague
Xavier Maldague Université Laval
Minrui Fei
Minrui Fei Shanghai University
Zhiqiang Ge
Zhiqiang Ge Zhejiang University
Wenjing Hong
Wenjing Hong Xiamen University

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