World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
40
Citations
4893
World Ranking
2072
National Ranking
247

Overview

Dejie Yu is affiliated with Hunan University in China and has developed a research portfolio centered predominantly around engineering with a focus on various subfields including biomedical engineering, control and systems engineering, atomic and molecular physics and optics, mechanical engineering, and signal processing.

Their research interests span multiple main topics, particularly acoustic wave phenomena research, machine fault diagnosis techniques, topological materials and phenomena, gear and bearing dynamics analysis, speech and audio processing, underwater acoustics research, and ultrasonics and acoustic wave propagation.

Dejie Yu has published extensively in notable scientific journals. Frequent publication venues include:

  • SSRN Electronic Journal
  • Measurement
  • Journal of Sound and Vibration
  • Physical Review B
  • Applied Physics Letters

Recent papers authored or co-authored by Dejie Yu reflect key themes in intelligent fault diagnosis and acoustic metamaterials. These include:

  • Intelligent acoustic-based fault diagnosis of roller bearings using a deep graph convolutional network, 2020, Measurement
  • Semi-supervised graph convolutional network and its application in intelligent fault diagnosis of rotating machinery, 2021, Measurement
  • Observation of fractal higher-order topological states in acoustic metamaterials, 2022, Science Bulletin
  • Total variation on horizontal visibility graph and its application to rolling bearing fault diagnosis, 2020, Mechanism and Machine Theory
  • Intelligent fault diagnosis for rolling bearings based on graph shift regularization with directed graphs, 2021, Advanced Engineering Informatics

Their collaborative work often involves several frequent co-authors, contributing to interdisciplinary studies in the above domains. Notable frequent co-authors include Tinggui Chen, Baizhan Xia, Junrui Jiao, Yiyuan Gao, and Shengjie Zheng.

Best Publications

  • Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearings

    Dejie Yu;Junsheng Cheng;Yu Yang

  • A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM

    Yu Yang;Dejie Yu;Junsheng Cheng

  • Elastic Higher-Order Topological Insulator with Topologically Protected Corner States.

    Haiyan Fan;Baizhan Xia;Liang Tong;Shengjie Zheng

  • Application of support vector regression machines to the processing of end effects of Hilbert Huang transform

    Junsheng Cheng;Dejie Yu;Yu Yang

  • Intelligent acoustic-based fault diagnosis of roller bearings using a deep graph convolutional network

    Dingcheng Zhang;Edward Stewart;Mani Entezami;Clive Roberts

  • Dynamic load identification for stochastic structures based on Gegenbauer polynomial approximation and regularization method

    Jie Liu;Xingsheng Sun;Xu Han;Chao Jiang

  • Application of frequency family separation method based upon EMD and local Hilbert energy spectrum method to gear fault diagnosis

    Junsheng Cheng;Dejie Yu;Jiashi Tang;Yu Yang

  • Application of time–frequency entropy method based on Hilbert–Huang transform to gear fault diagnosis

    Dejie Yu;Yu Yang;Junsheng Cheng

  • A research on intelligent fault diagnosis of wind turbines based on ontology and FMECA

    Unknown

  • Local rub-impact fault diagnosis of the rotor systems based on EMD

    Junsheng Cheng;Dejie Yu;Jiashi Tang;Yu Yang

  • Modified sub-interval perturbation finite element method for 2D acoustic field prediction with large uncertain-but-bounded parameters

    Baizhan Xia;Dejie Yu

  • A gear fault diagnosis using Hilbert spectrum based on MODWPT and a comparison with EMD approach

    Yu Yang;Yigang He;Junsheng Cheng;Dejie Yu

  • Application of SVM and SVD Technique Based on EMD to the Fault Diagnosis of the Rotating Machinery

    Junsheng Cheng;Dejie Yu;Jiashi Tang;Yu Yang

  • Sparse signal decomposition method based on multi-scale chirplet and its application to the fault diagnosis of gearboxes

    Fuqiang Peng;Dejie Yu;Jiesi Luo

  • Interval and subinterval perturbation methods for a structural-acoustic system with interval parameters

    Baizhan Xia;Dejie Yu;Jian Liu

  • The envelope order spectrum based on generalized demodulation time–frequency analysis and its application to gear fault diagnosis

    Junsheng Cheng;Yu Yang;Dejie Yu

  • Reliability-based design optimization of structural systems under hybrid probabilistic and interval model

    Baizhan Xia;Hui Lü;Dejie Yu;Chao Jiang

  • A kurtosis-guided adaptive demodulation technique for bearing fault detection based on tunable-Q wavelet transform

    Jiesi Luo;Jiesi Luo;Dejie Yu;Ming Liang

  • Interval analysis of acoustic field with uncertain-but-bounded parameters

    Baizhan Xia;Dejie Yu

  • A novel computational inverse technique for load identification using the shape function method of moving least square fitting

    Jie Liu;Xingsheng Sun;Xu Han;Chao Jiang

  • Semi-supervised graph convolutional network and its application in intelligent fault diagnosis of rotating machinery

    Yiyuan Gao;Yiyuan Gao;Mang Chen;Dejie Yu

  • A Fault Diagnosis Approach for Gears Based on IMF AR Model and SVM

    Junsheng Cheng;Dejie Yu;Yu Yang

  • Brake squeal reduction of vehicle disc brake system with interval parameters by uncertain optimization

    Hui Lü;Dejie Yu

  • Application of multi-scale chirplet path pursuit and fractional Fourier transform for gear fault detection in speed up and speed-down processes

    Jiesi Luo;Jiesi Luo;Dejie Yu;Dejie Yu;Ming Liang

  • Adaptive fault feature extraction from wayside acoustic signals from train bearings

    Dingcheng Zhang;Mani Entezami;Edward Stewart;Clive Roberts

  • Hybrid uncertain analysis for structural-acoustic problem with random and interval parameters

    Baizhan Xia;Dejie Yu;Jian Liu

  • Intelligent fault diagnosis for rolling bearings based on graph shift regularization with directed graphs

    Unknown

  • Multi-fault diagnosis of gearbox based on resonance-based signal sparse decomposition and comb filter

    Dingcheng Zhang;Dingcheng Zhang;Dejie Yu

  • A new rolling bearing fault diagnosis method based on GFT impulse component extraction

    Lu Ou;Dejie Yu;Hanjian Yang

  • Vehicle motion control under equality and inequality constraints: a diffeomorphism approach

    Hui Yin;Hui Yin;Ye-Hwa Chen;Dejie Yu

Frequent Co-Authors

Michael Beer
Michael Beer University of Liverpool
Junsheng Cheng
Junsheng Cheng Hunan University
Clive J. Roberts
Clive J. Roberts University of Nottingham
Ming Liang
Ming Liang University of Ottawa
Xu Han
Xu Han Hebei University of Technology
Zhen Luo
Zhen Luo University of Technology Sydney
Jie Liu
Jie Liu Hunan University
Guoliang Huang
Guoliang Huang University of Missouri
Chen Jiang
Chen Jiang Hunan University
Yaguo Lei
Yaguo Lei Xi'an Jiaotong University

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