Song Zhihuan

Song Zhihuan

Zhejiang University

H-index: 55

Asia-China

About Song Zhihuan

Song Zhihuan, With an exceptional h-index of 55 and a recent h-index of 42 (since 2020), a distinguished researcher at Zhejiang University, specializes in the field of Industrial big data, process monitoring, process control, fault diagnosis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Reliable Soft Sensors With an Inherent Process Graph Constraint

Product quality prediction method based on dual-channel information complementary fusion stacked auto-encoder

Semi-supervised Deep Conditional Variational Auto-encoder for Soft Sensor Modeling

A review of just‐in‐time learning‐based soft sensor in industrial process

Novel Triplet Loss-Based Domain Generalization Network for Bearing Fault Diagnosis with Unseen Load Condition

Deep Probabilistic Principal Component Analysis for Process Monitoring

Deep Learning of Partially Labeled Data for Quality Prediction Based on Stacked Target-Related Laplacian Autoencoder

Gaussian Mixture Model and Double-Weighted Deep Neural Networks for Data Augmentation Soft Sensing

Song Zhihuan Information

University

Position

Professor of Control Science & Engineering

Citations(all)

11841

Citations(since 2020)

7015

Cited By

8577

hIndex(all)

55

hIndex(since 2020)

42

i10Index(all)

182

i10Index(since 2020)

135

Email

University Profile Page

Zhejiang University

Google Scholar

View Google Scholar Profile

Song Zhihuan Skills & Research Interests

Industrial big data

process monitoring

process control

fault diagnosis

Top articles of Song Zhihuan

Title

Journal

Author(s)

Publication Date

Reliable Soft Sensors With an Inherent Process Graph Constraint

IEEE Transactions on Industrial Informatics

Ruikun Zhai

Junhua Zheng

Zhihuan Song

Zhiqiang Ge

2024/3/26

Product quality prediction method based on dual-channel information complementary fusion stacked auto-encoder

2024/3/21

Semi-supervised Deep Conditional Variational Auto-encoder for Soft Sensor Modeling

IEEE Sensors Journal

Xiaochu Tang

Jiawei Yan

Yuan Li

Xinmin Zhang

Zhihuan Song

2024/1/15

A review of just‐in‐time learning‐based soft sensor in industrial process

Weiwei Sheng

Jinchuan Qian

Zhihuan Song

Xinmin Zhang

2024/1/15

Novel Triplet Loss-Based Domain Generalization Network for Bearing Fault Diagnosis with Unseen Load Condition

Processes

Bingbing Shen

Min Zhang

Le Yao

Zhihuan Song

2024/5

Deep Probabilistic Principal Component Analysis for Process Monitoring

IEEE Transactions on Neural Networks and Learning Systems

Xiangyin Kong

Yimeng He

Zhihuan Song

Tong Liu

Zhiqiang Ge

2024/4/23

Deep Learning of Partially Labeled Data for Quality Prediction Based on Stacked Target-Related Laplacian Autoencoder

IEEE Transactions on Neural Networks and Learning Systems

Bocun He

Xinmin Zhang

Zhihuan Song

2023/11/28

Gaussian Mixture Model and Double-Weighted Deep Neural Networks for Data Augmentation Soft Sensing

Xiaoyu Jiang

Le Yao

Zeyu Yang

Zhihuan Song

Bingbing Shen

2023/5/12

Multirate mixture probability principal component analysis for process monitoring in multimode processes

IEEE Transactions on Automation Science and Engineering

Yuting Lyu

Le Zhou

Ya Cong

Hongbo Zheng

Zhihuan Song

2023/3/10

A Novel Sequence Discriminative Feature Extraction Network and Its Application in Offline Industrial Fault Pattern Clustering

IEEE Transactions on Industrial Informatics

Jinchuan Qian

Chihang Wei

Zhihuan Song

2023/8/10

Balanced Adversarial Robust Learning for Industrial Fault Classification with Imbalanced Data

Zhenqin Yin

Xiaoyu Jiang

Jinchuan Qian

Xinmin Zhang

Zhihuan Song

...

2023/10/16

Dynamic Feature Extractor for Industrial Key Variable Prediction Based on Enhanced Gating Mechanism

Cheng Qiu

Xinmin Zhang

Jinchuan Qian

Zheren Zhu

Zhihuan Song

...

2023/11/17

A Decomposition-based Encoder-Decoder Framework for Multi-step Prediction of Burn-Through Point in Sintering Process

Yuhan Xie

Bocun He

Xinmin Zhang

Zhihuan Song

2023/5/8

Data-driven soft sensors in blast furnace ironmaking: a survey

Yueyang Luo

Xinmin Zhang

Manabu Kano

Long Deng

Chunjie Yang

...

2023/3

Data‐driven modelling methods in sintering process: Current research status and perspectives

Feng Yan

Xinmin Zhang

Chunjie Yang

Bing Hu

Weidong Qian

...

2023/8

Visual Process Monitoring by Data-Dependent Kernel Discriminant Analysis with t-Distributed Similarities

ACS omega

Chihang Wei

Chenglin Wen

Jieguang He

Zhihuan Song

2023/10/5

A Multi-scale Normalizing Flow Network for Surface Defects Detection

Jinsong Yuan

Xiangyin Kong

Xinmin Zhang

Zheren Zhu

Jinchuan Qian

...

2023/11/17

Causal Generative Model for Root-cause Diagnosis and Fault Propagation Analysis in Industrial Processes

IEEE Transactions on Instrumentation and Measurement

Yimeng He

Le Yao

Zhiqiang Ge

Zhihuan Song

2023/5/8

Multivariate Deep Reconstruction Neural Network for Multi-step-ahead Prediction of Industrial Process Quality Variables

IFAC-PapersOnLine

Yuwei Chen

Xinmin Zhang

Zhihuan Song

Manabu Kano

2023/1/1

First attempt of barrier functions for Caputo’s fractional-order nonlinear dynamical systems

Science China Information Sciences

Zheren Zhu

Pengfei Huang

Xinmin Zhang

Yi Chai

Zhihuan Song

2023/7

See List of Professors in Song Zhihuan University(Zhejiang University)

Co-Authors

H-index: 80
Biao Huang

Biao Huang

University of Alberta

H-index: 59
Zhiqiang Ge

Zhiqiang Ge

Zhejiang University

H-index: 54
Yong Yan

Yong Yan

University of Kent

H-index: 41
Uwe Kruger

Uwe Kruger

Rensselaer Polytechnic Institute

H-index: 39
Manabu Kano

Manabu Kano

Kyoto University

H-index: 39
Tao Chen

Tao Chen

University of Surrey

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