World's Best Scientists 2026 revealed!
Chunhui Zhao

Chunhui Zhao

D-Index & Metrics

Computer Science

D-Index
59
Citations
11145
World Ranking
3484
National Ranking
469

Overview

Chunhui Zhao is affiliated with Zhejiang University in China and has contributed extensively to the fields of engineering and computer science, with a particular focus on control and systems engineering, artificial intelligence, and mechanical engineering. Their research spans a wide range of topics including fault detection and control systems, mineral processing and grinding, advanced statistical process monitoring, anomaly detection techniques and applications, advanced control systems optimization, spectroscopy and chemometric analyses, and machine learning methodologies such as extreme learning machines (ELM).

The scientist has published regularly in several key academic venues. Frequent publication outlets include:

  • Journal of Process Control
  • Control Engineering Practice
  • SSRN Electronic Journal
  • IEEE Transactions on Automation Science and Engineering
  • arXiv (Cornell University)

Among recent papers authored or co-authored by Chunhui Zhao, notable works are:

  • "Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis," 2020, IEEE Transactions on Industrial Informatics
  • "A survey on multi-sensor fusion based obstacle detection for intelligent ground vehicles in off-road environments," 2020, Frontiers of Information Technology & Electronic Engineering
  • "Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence," 2022, Journal of Process Control
  • "Efficient Nonlinear Model Predictive Control for Quadrotor Trajectory Tracking: Algorithms and Experiment," 2021, IEEE Transactions on Cybernetics
  • "A Fine-Grained Adversarial Network Method for Cross-Domain Industrial Fault Diagnosis," 2020, IEEE Transactions on Automation Science and Engineering

Frequent coauthors collaborating with Chunhui Zhao include:

  • Pengyu Song
  • Biao Huang
  • Jinwen Hu
  • Jinliang Ding
  • Wanke Yu

The research contributions reflect a multidisciplinary approach integrating aspects of engineering and computer science with applications in industrial artificial intelligence and intelligent systems. The body of work demonstrates consistency in addressing challenges related to industrial fault diagnosis, process monitoring, and control systems optimization, employing advanced techniques such as adversarial networks, model predictive control, and multi-sensor data fusion.

Best Publications

  • Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis

    Liangjun Feng;Chunhui Zhao

  • Broad Convolutional Neural Network Based Industrial Process Fault Diagnosis With Incremental Learning Capability

    Wanke Yu;Chunhui Zhao

  • A full-condition monitoring method for nonstationary dynamic chemical processes with cointegration and slow feature analysis

    Chunhui Zhao;Biao Huang

  • Stage-based soft-transition multiple PCA modeling and on-line monitoring strategy for batch processes

    Chunhui Zhao;Fuli Wang;Ningyun Lu;Mingxing Jia

  • Robust Monitoring and Fault Isolation of Nonlinear Industrial Processes Using Denoising Autoencoder and Elastic Net

    Wanke Yu;Chunhui Zhao

  • Using the concept of Chou’s pseudo amino acid composition to predict protein subcellular localization: an approach by incorporating evolutionary information and von Neumann entropies

    Shao-Wu Zhang;Yun-Long Zhang;Hui-Fang Yang;Chun-Hui Zhao

  • Slow-Feature-Analysis-Based Batch Process Monitoring With Comprehensive Interpretation of Operation Condition Deviation and Dynamic Anomaly

    Shumei Zhang;Chunhui Zhao

  • Fault-relevant Principal Component Analysis (FPCA) method for multivariate statistical modeling and process monitoring

    Chun Hui Zhao;Furong Gao

  • Dynamic Distributed Monitoring Strategy for Large-Scale Nonstationary Processes Subject to Frequently Varying Conditions Under Closed-Loop Control

    Chunhui Zhao;He Sun

  • A survey on multi-sensor fusion based obstacle detection for intelligent ground vehicles in off-road environments

    Jin-wen Hu;Bo-yin Zheng;Ce Wang;Chun-hui Zhao

  • Efficient Nonlinear Model Predictive Control for Quadrotor Trajectory Tracking: Algorithms and Experiment

    Dong Wang;Quan Pan;Yang Shi;Jinwen Hu

  • Enhanced Random Forest With Concurrent Analysis of Static and Dynamic Nodes for Industrial Fault Classification

    Zheng Chai;Chunhui Zhao

  • Recursive Exponential Slow Feature Analysis for Fine-Scale Adaptive Processes Monitoring With Comprehensive Operation Status Identification

    Wanke Yu;Chunhui Zhao

  • Sparse Exponential Discriminant Analysis and Its Application to Fault Diagnosis

    Wanke Yu;Chunhui Zhao

  • A Fine-Grained Adversarial Network Method for Cross-Domain Industrial Fault Diagnosis

    Zheng Chai;Chunhui Zhao

  • Linearity Evaluation and Variable Subset Partition Based Hierarchical Process Modeling and Monitoring

    Wenqing Li;Chunhui Zhao;Furong Gao

  • Formation control and collision avoidance for multi-UAV systems based on Voronoi partition

    JinWen Hu;Man Wang;ChunHui Zhao;Quan Pan

  • Convergent Multiagent Formation Control With Collision Avoidance

    Jinwen Hu;Houxin Zhang;Lu Liu;Xiaoping Zhu

  • Slow Down to Go Better: A Survey on Slow Feature Analysis

    Unknown

  • Critical-to-Fault-Degradation Variable Analysis and Direction Extraction for Online Fault Prognostic

    Chunhui Zhao;Furong Gao

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

    Chunhui Zhao;Yuan Yao;Furong Gao;Fuli Wang

  • Step-wise sequential phase partition (SSPP) algorithm based statistical modeling and online process monitoring

    Chunhui Zhao;Chunhui Zhao;Youxian Sun

  • Nonlinear Batch Process Monitoring Using Phase-Based Kernel-Independent Component Analysis-Principal Component Analysis (KICA-PCA)

    Chunhui Zhao;Furong Gao;Fuli Wang

  • A Quality-Relevant Sequential Phase Partition Approach for Regression Modeling and Quality Prediction Analysis in Manufacturing Processes

    Chunhui Zhao

  • Online Fault Diagnosis for Industrial Processes With Bayesian Network-Based Probabilistic Ensemble Learning Strategy

    Wanke Yu;Chunhui Zhao

  • Multispace Total Projection to Latent Structures and its Application to Online Process Monitoring

    Chunhui Zhao;Youxian Sun

Frequent Co-Authors

Furong Gao
Furong Gao Hong Kong University of Science and Technology
Youxian Sun
Youxian Sun Zhejiang University
Biao Huang
Biao Huang University of Alberta
Yuan Yao
Yuan Yao National Tsing Hua University
Youxian Sun
Youxian Sun Zhejiang University
Dale E. Seborg
Dale E. Seborg University of California, Santa Barbara
Francis J. Doyle
Francis J. Doyle Brown University
Weidong Zhang
Weidong Zhang Shanghai Jiao Tong University
C. L. Philip Chen
C. L. Philip Chen South China University of Technology
Choon Ki Ahn
Choon Ki Ahn Korea University

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