World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
57
Citations
8910
World Ranking
2738
National Ranking
549

Overview

Chengliang Liu is affiliated with Shanghai Jiao Tong University in China, focusing primarily on engineering research. Their work spans multiple interconnected subfields, with notable activity in Control and Systems Engineering, Cardiology and Cardiovascular Medicine, Mechanical Engineering, Civil and Structural Engineering, and Plant Science.

Their research addresses a range of topics, including:

  • Machine Fault Diagnosis Techniques
  • ECG Monitoring and Analysis
  • Tunneling and Rock Mechanics
  • EEG and Brain-Computer Interfaces
  • Smart Agriculture and AI
  • Drilling and Well Engineering
  • Rock Mechanics and Modeling

Chengliang Liu has published extensively, with a strong presence in several academic journals. The most frequent venues for their publications include:

  • Science China Technological Sciences
  • Knowledge-Based Systems
  • Computers and Electronics in Agriculture
  • Mechanical Systems and Signal Processing
  • Biomedical Signal Processing and Control

Some recent papers highlight the scope and focus of their research:

  • Precise cutterhead torque prediction for shield tunneling machines using a novel hybrid deep neural network, 2020, Mechanical Systems and Signal Processing
  • Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network, 2020, Measurement
  • A VMD-EWT-LSTM-based multi-step prediction approach for shield tunneling machine cutterhead torque, 2021, Knowledge-Based Systems
  • Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks, 2020, Knowledge-Based Systems
  • A high-precision arrhythmia classification method based on dual fully connected neural network, 2020, Biomedical Signal Processing and Control

Collaboration is a significant component of their research activity. Frequent co-authors include:

  • Chengjin Qin
  • Yanrui Jin
  • Jianfeng Tao
  • Yixiang Huang
  • Zhiyuan Li

The body of work by Chengliang Liu reflects an intersection of advanced engineering methodologies applied to complex systems, including medical signal processing, fault diagnosis in machinery, and applications in agricultural technology. The research demonstrates a multidisciplinary approach involving computational intelligence methods such as neural networks and deep learning techniques applied across diverse technical problems.

Best Publications

  • A Manufacturing Big Data Solution for Active Preventive Maintenance

    Jiafu Wan;Shenglong Tang;Di Li;Shiyong Wang

  • A review of key techniques of vision-based control for harvesting robot

    Yuanshen Zhao;Liang Gong;Yixiang Huang;Chengliang Liu

  • Fog Computing for Energy-Aware Load Balancing and Scheduling in Smart Factory

    Jiafu Wan;Baotong Chen;Shiyong Wang;Min Xia

  • Adaptive Transmission Optimization in SDN-Based Industrial Internet of Things With Edge Computing

    Xiaomin Li;Di Li;Jiafu Wan;Chengliang Liu

  • Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network.

    Ke Lin;Liang Gong;Yixiang Huang;Chengliang Liu

  • An enhanced empirical wavelet transform for noisy and non-stationary signal processing

    Unknown

  • Adaptive feature extraction using sparse coding for machinery fault diagnosis

    Haining Liu;Chengliang Liu;Yixiang Huang

  • Context-Aware Cloud Robotics for Material Handling in Cognitive Industrial Internet of Things

    Jiafu Wan;Shenglong Tang;Qingsong Hua;Di Li

  • A novel methodology to explain and evaluate data-driven building energy performance models based on interpretable machine learning

    Cheng Fan;Cheng Fan;Fu Xiao;Chengchu Yan;Chengliang Liu

  • Toward Dynamic Resources Management for IoT-Based Manufacturing

    Jiafu Wan;Baotong Chen;Muhammad Imran;Fei Tao

  • Wavelet leaders multifractal features based fault diagnosis of rotating mechanism

    Wenliao Du;Wenliao Du;Jianfeng Tao;Yanming Li;Chengliang Liu

  • A hierarchical method based on weighted extreme gradient boosting in ECG heartbeat classification.

    Haotian Shi;Haoren Wang;Yixiang Huang;Liqun Zhao

  • Detecting tomatoes in greenhouse scenes by combining AdaBoost classifier and colour analysis

    Yuanshen Zhao;Liang Gong;Bin Zhou;Yixiang Huang

  • Computer vision detection of defective apples using automatic lightness correction and weighted RVM classifier

    Baohua Zhang;Wenqian Huang;Liang Gong;Jiangbo Li

  • Precise cutterhead torque prediction for shield tunneling machines using a novel hybrid deep neural network

    Chengjin Qin;Gang Shi;Jianfeng Tao;Honggan Yu

  • Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network

    Yanrui Jin;Chengjin Qin;Yixiang Huang;Chengliang Liu

  • Dual-arm cooperation and implementing for robotic harvesting tomato using binocular vision

    Xiao Ling;Yuanshen Zhao;Liang Gong;Chengliang Liu

  • Domain Adaptive Motor Fault Diagnosis Using Deep Transfer Learning

    Dengyu Xiao;Yixiang Huang;Lujie Zhao;Chengjin Qin

  • Reconfigurable Smart Factory for Drug Packing in Healthcare Industry 4.0

    Jiafu Wan;Shenglong Tang;Di Li;Muhammad Imran

  • An adaptive hierarchical decomposition-based method for multi-step cutterhead torque forecast of shield machine

    Unknown

  • A VMD-EWT-LSTM-based multi-step prediction approach for shield tunneling machine cutterhead torque

    Gang Shi;Chengjin Qin;Jianfeng Tao;Chengliang Liu

  • Dual-arm Robot Design and Testing for Harvesting Tomato in Greenhouse

    Yuanshen Zhao;Liang Gong;Chengliang Liu;Yixiang Huang

  • Study on a piezoelectric micropump for the controlled drug delivery system

    Unknown

  • Robust Tomato Recognition for Robotic Harvesting Using Feature Images Fusion.

    Yuanshen Zhao;Liang Gong;Yixiang Huang;Chengliang Liu

Frequent Co-Authors

Jiafu Wan
Jiafu Wan South China University of Technology
Jay Lee
Jay Lee University of Maryland, College Park
Dabing Zhang
Dabing Zhang Shanghai Jiao Tong University
Michael Pecht
Michael Pecht University of Maryland, College Park
Jaime Lloret
Jaime Lloret Universitat Politècnica de València
Jinhong Yuan
Jinhong Yuan University of New South Wales
Fei Tao
Fei Tao Beihang University
Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
Jianwei Zhang
Jianwei Zhang Universität Hamburg
Valeriy Vyatkin
Valeriy Vyatkin Aalto University

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