World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
14995
World Ranking
2621
National Ranking
356

Overview

Zhiqiang Ge is affiliated with Zhejiang University in China and has contributed extensively to the fields of engineering and computer science. Their research primarily focuses on control and systems engineering and artificial intelligence, intersecting notably with mechanical and industrial manufacturing engineering as well as analytical chemistry.

The scientist's work includes significant contributions to topics such as fault detection and control systems, mineral processing and grinding, industrial vision systems and defect detection, adversarial robustness in machine learning, spectroscopy and chemometric analyses, advanced control systems optimization, and advanced data processing techniques.

Zhiqiang Ge has published papers in several prominent venues, with frequent appearances in:

  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Artificial Intelligence
  • IEEE Transactions on Cybernetics
  • Engineering Applications of Artificial Intelligence

Recent papers authored or co-authored include:

  • "A Survey on Deep Learning for Data-Driven Soft Sensors," 2021, IEEE Transactions on Industrial Informatics
  • "Gated Stacked Target-Related Autoencoder: A Novel Deep Feature Extraction and Layerwise Ensemble Method for Industrial Soft Sensor Application," 2020, IEEE Transactions on Cybernetics
  • "Data Augmentation Classifier for Imbalanced Fault Classification," 2020, IEEE Transactions on Automation Science and Engineering
  • "Deep Learning for Industrial KPI Prediction: When Ensemble Learning Meets Semi-Supervised Data," 2020, IEEE Transactions on Industrial Informatics
  • "Auxiliary Information-Guided Industrial Data Augmentation for Any-Shot Fault Learning and Diagnosis," 2021, IEEE Transactions on Industrial Informatics

Collaboration forms a notable part of Zhiqiang Ge's research activity. Frequent co-authors include:

  • Junhua Zheng
  • Le Yao
  • Xiaoyu Jiang
  • Zeyu Yang
  • Zhihuan Song

With a substantial publication record, the scientist has actively contributed 173 works in engineering and 72 works in computer science. Within the subfields, the emphasis lies on control and systems engineering with 112 publications and artificial intelligence with 49 publications among others.

Best Publications

  • Review of Recent Research on Data-Based Process Monitoring

    Zhiqiang Ge;Zhihuan Song;Furong Gao

  • Data Mining and Analytics in the Process Industry: The Role of Machine Learning

    Zhiqiang Ge;Zhihuan Song;Steven X. Ding;Biao Huang

  • Review on data-driven modeling and monitoring for plant-wide industrial processes

    Zhiqiang Ge

  • A Survey on Deep Learning for Data-Driven Soft Sensors

    Qingqiang Sun;Zhiqiang Ge

  • Process Monitoring Based on Independent Component Analysis - Principal Component Analysis ( ICA - PCA ) and Similarity Factors

    Zhiqiang Ge;Zhihuan Song

  • Distributed Parallel PCA for Modeling and Monitoring of Large-Scale Plant-Wide Processes With Big Data

    Jinlin Zhu;Zhiqiang Ge;Zhihuan Song

  • Deep Learning of Semisupervised Process Data With Hierarchical Extreme Learning Machine and Soft Sensor Application

    Le Yao;Zhiqiang Ge

  • Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data

    Jinlin Zhu;Jinlin Zhu;Zhiqiang Ge;Zhihuan Song;Furong Gao

  • Distributed PCA Model for Plant-Wide Process Monitoring

    Zhiqiang Ge;Zhihuan Song

  • Improved kernel PCA-based monitoring approach for nonlinear processes

    Zhiqiang Ge;Chunjie Yang;Zhihuan Song

  • Process Data Analytics via Probabilistic Latent Variable Models: A Tutorial Review

    Zhiqiang Ge

  • A comparative study of just-in-time-learning based methods for online soft sensor modeling

    Zhiqiang Ge;Zhihuan Song

  • Online monitoring of nonlinear multiple mode processes based on adaptive local model approach

    Zhiqiang Ge;Zhihuan Song

  • Global–Local Structure Analysis Model and Its Application for Fault Detection and Identification

    Muguang Zhang;Zhiqiang Ge;Zhihuan Song;Ruowei Fu

  • Mixture Bayesian regularization method of PPCA for multimode process monitoring

    Zhiqiang Ge;Zhihuan Song

  • Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes

    Xiaofeng Yuan;Yalin Wang;Chunhua Yang;Zhiqiang Ge

  • Locally Weighted Kernel Principal Component Regression Model for Soft Sensing of Nonlinear Time-Variant Processes

    Xiaofeng Yuan;Zhiqiang Ge;Zhihuan Song

  • Nonlinear process monitoring based on linear subspace and Bayesian inference

    Zhiqiang Ge;Muguang Zhang;Zhihuan Song

  • Multimode process monitoring based on Bayesian method

    Zhiqiang Ge;Zhihuan Song

  • Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR

    Xiaofeng Yuan;Zhiqiang Ge;Biao Huang;Zhihuan Song

Frequent Co-Authors

Zhihuan Song
Zhihuan Song Zhejiang University
Furong Gao
Furong Gao Hong Kong University of Science and Technology
Xiaofeng Yuan
Xiaofeng Yuan Central South University
Junghui Chen
Junghui Chen Chung Yuan Christian University
Biao Huang
Biao Huang University of Alberta
Uwe Kruger
Uwe Kruger Rensselaer Polytechnic Institute
Xu Chen
Xu Chen Tianjin University
Yuan Yao
Yuan Yao National Tsing Hua University
Weihua Gui
Weihua Gui Central South University
Fei Liu
Fei Liu Jiangnan University

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