World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
42
Citations
5831
World Ranking
577
National Ranking
199

Computer Science

D-Index
47
Citations
7675
World Ranking
6576
National Ranking
881

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Xiaofeng Yuan is affiliated with Central South University in China and has contributed extensively to the fields of engineering and computer science. Their research spans multiple subfields including control and systems engineering, artificial intelligence, mechanical engineering, analytical chemistry, and industrial and manufacturing engineering.

The scholar's publication record includes numerous papers in key venues such as:

  • IEEE Sensors Journal
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Instrumentation and Measurement
  • Engineering Applications of Artificial Intelligence
  • Journal of Process Control

Xiaofeng Yuan's primary research topics focus on fault detection and control systems, mineral processing and grinding, neural networks and applications, advanced control systems optimization, spectroscopy and chemometric analyses, advanced data processing techniques, and machine learning and extreme learning machines.

Notable recent publications include:

  • Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development (2020), IEEE Transactions on Industrial Electronics
  • A dynamic CNN for nonlinear dynamic feature learning in soft sensor modeling of industrial process data (2020), Control Engineering Practice
  • Soft sensor model for dynamic processes based on multichannel convolutional neural network (2020), Chemometrics and Intelligent Laboratory Systems
  • Deep learning for fault-relevant feature extraction and fault classification with stacked supervised auto-encoder (2020), Journal of Process Control
  • Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application (2021), IEEE Transactions on Industrial Informatics

Their collaborative work includes frequent partnerships with coauthors such as:

  • Yalin Wang
  • Kai Wang
  • Chenliang Liu
  • Chunhua Yang
  • Lingjian Ye

Xiaofeng Yuan's research contributions demonstrate a focus on developing advanced sensor models and feature learning methods for industrial process data and fault detection. The integration of deep learning techniques, such as convolutional neural networks and long short-term memory networks, plays a significant role in their work. This work is situated primarily at the intersection of engineering applications and AI-driven process control.

Best Publications

  • Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

    Xiaofeng Yuan;Biao Huang;Yalin Wang;Chunhua Yang

  • Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network

    Xiaofeng Yuan;Lin Li;Yalin Wang

  • Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

    Xiaofeng Yuan;Lin Li;Yuri A. W. Shardt;Yalin Wang

  • A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network.

    Yalin Wang;Zhuofu Pan;Xiaofeng Yuan;Chunhua Yang

  • Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy

    Xiaofeng Yuan;Jiao Zhou;Biao Huang;Yalin Wang

  • 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

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

    Xiaofeng Yuan;Zhiqiang Ge;Biao Huang;Zhihuan Song

  • A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process

    Xiaofeng Yuan;Chen Ou;Yalin Wang;Chunhua Yang

  • A dynamic CNN for nonlinear dynamic feature learning in soft sensor modeling of industrial process data

    Xiaofeng Yuan;Shuaibin Qi;Yalin Wang;Haibing Xia

  • Soft sensor model development in multiphase/multimode processes based on Gaussian mixture regression

    Xiaofeng Yuan;Zhiqiang Ge;Zhihuan Song

  • A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes

    Xiaofeng Yuan;Yongjie Gu;Yalin Wang;Chunhua Yang

  • A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data

    Xiaofeng Yuan;Zhiqiang Ge;Biao Huang;Zhihuan Song

  • Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE

    Xiaofeng Yuan;Chen Ou;Yalin Wang;Chunhua Yang

  • Soft sensor model for dynamic processes based on multichannel convolutional neural network

    Xiaofeng Yuan;Shuaibin Qi;Yuri A.W. Shardt;Yalin Wang

  • Learning deep multi-manifold structure feature representation for quality prediction with an industrial application

    Chenliang Liu;Kai Wang;Yalin Wang;Xiaofeng Yuan

  • Deep learning for fault-relevant feature extraction and fault classification with stacked supervised auto-encoder

    Yalin Wang;Haibing Yang;Xiaofeng Yuan;Yuri A.W. Shardt

  • Deep learning for quality prediction of nonlinear dynamic processes with variable attention‐based long short‐term memory network

    Xiaofeng Yuan;Lin Li;Yalin Wang;Chunhua Yang

  • Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression

    Xiaofeng Yuan;Zhiqiang Ge;Zhihuan Song;Yalin Wang

  • A novel semi-supervised pre-training strategy for deep networks and its application for quality variable prediction in industrial processes

    Xiaofeng Yuan;Chen Ou;Yalin Wang;Chunhua Yang

Frequent Co-Authors

Chunhua Yang
Chunhua Yang Central South University
Weihua Gui
Weihua Gui Central South University
Zhihuan Song
Zhihuan Song Zhejiang University
Zhiqiang Ge
Zhiqiang Ge Zhejiang University
Biao Huang
Biao Huang University of Alberta
Yi Cao
Yi Cao Lund University
Heikki N. Koivo
Heikki N. Koivo Aalto University
Steven X. Ding
Steven X. Ding University of Duisburg-Essen
Junghui Chen
Junghui Chen Chung Yuan Christian University

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