World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
84
Citations
27597
World Ranking
155
National Ranking
24

Xuefeng Chen publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Xuefeng Chen sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 450 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Xuefeng Chen D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Xuefeng Chen sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 84 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Xuefeng Chen is affiliated with Xi'an Jiaotong University in China and has contributed extensively to the field of engineering, with a focus on subfields such as control and systems engineering, mechanical engineering, civil and structural engineering, mechanics of materials, and electrical and electronic engineering.

Their research work encompasses several key topics including:

  • Machine Fault Diagnosis Techniques
  • Structural Health Monitoring Techniques
  • Fault Detection and Control Systems
  • Bladed Disk Vibration Dynamics
  • Gear and Bearing Dynamics Analysis
  • Ultrasonics and Acoustic Wave Propagation
  • Anomaly Detection Techniques and Applications

Chen's publication record includes papers in prominent venues such as Mechanical Systems and Signal Processing, IEEE Transactions on Instrumentation and Measurement, SSRN Electronic Journal, IEEE Transactions on Industrial Informatics, and Measurement.

Recent papers authored or co-authored by Chen include:

  • "Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study," 2020, ISA Transactions
  • "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study," 2021, IEEE Transactions on Instrumentation and Measurement
  • "WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis," 2021, IEEE Transactions on Systems Man and Cybernetics Systems
  • "Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis," 2020, IEEE Transactions on Industrial Electronics
  • "Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis," 2024, Nature Communications

Frequent collaborative partners of Chen comprise researchers such as Ruqiang Yan, Zhibo Yang, Baijie Qiao, Zhibin Zhao, and Guangrui Wen.

Best Publications

  • Artificial intelligence for fault diagnosis of rotating machinery: A review

    Ruonan Liu;Boyuan Yang;Enrico Zio;Enrico Zio;Xuefeng Chen

  • Wavelets for fault diagnosis of rotary machines: A review with applications

    Ruqiang Yan;Robert X. Gao;Xuefeng Chen

  • A sparse auto-encoder-based deep neural network approach for induction motor faults classification

    Wenjun Sun;Siyu Shao;Rui Zhao;Ruqiang Yan;Ruqiang Yan

  • Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

    Chuang Sun;Meng Ma;Zhibin Zhao;Shaohua Tian

  • WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

    Tianfu Li;Zhibin Zhao;Chuang Sun;Li Cheng

  • Mechanical model development of rolling bearing-rotor systems: A review

    Hongrui Cao;Linkai Niu;Songtao Xi;Xuefeng Chen

  • Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals

    Jinglong Chen;Jun Pan;Zipeng Li;Yanyang Zi

  • Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine

    Ruonan Liu;Guotao Meng;Boyuan Yang;Chuang Sun

  • Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings

    Zhiwen Liu;Hongrui Cao;Xuefeng Chen;Zhengjia He

  • The concept and progress of intelligent spindles: A review

    Hongrui Cao;Xingwu Zhang;Xuefeng Chen

  • Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis

    Wenjun Sun;Rui Zhao;Ruqiang Yan;Siyu Shao

  • Matching Demodulation Transform and SynchroSqueezing in Time-Frequency Analysis

    Shibin Wang;Xuefeng Chen;Gaigai Cai;Binqiang Chen

  • New clustering algorithm-based fault diagnosis using compensation distance evaluation technique

    Yaguo Lei;Zhengjia He;Yanyang Zi;Xuefeng Chen

  • Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions

    Tianfu Li;Zhibin Zhao;Chuang Sun;Ruqiang Yan

  • Nonconvex Sparse Regularization and Convex Optimization for Bearing Fault Diagnosis

    Shibin Wang;Ivan Selesnick;Gaigai Cai;Yining Feng

  • Study of frequency-shifted and re-scaling stochastic resonance and its application to fault diagnosis

    Jiyong Tan;Xuefeng Chen;Junying Wang;Huaxin Chen

  • Time-reassigned synchrosqueezing transform: The algorithm and its applications in mechanical signal processing

    Dong He;Hongrui Cao;Shibin Wang;Xuefeng Chen

  • Knowledge Transfer for Rotary Machine Fault Diagnosis

    Ruqiang Yan;Fei Shen;Chuang Sun;Xuefeng Chen

  • Sparsity-enabled signal decomposition using tunable Q-factor wavelet transform for fault feature extraction of gearbox

    Gaigai Cai;Xuefeng Chen;Zhengjia He

  • Enhanced Sparse Period-Group Lasso for Bearing Fault Diagnosis

    Zhibin Zhao;Shuming Wu;Baijie Qiao;Shibin Wang

  • The construction of wavelet finite element and its application

    Xuefeng Chen;Shengjun Yang;Junxing Ma;Zhengjia He

  • Intelligent fault diagnosis of rotating machinery using support vector machine with ant colony algorithm for synchronous feature selection and parameter optimization

    XiaoLi Zhang;XiaoLi Zhang;Wei Chen;BaoJian Wang;XueFeng Chen

  • Chatter identification in end milling process based on EEMD and nonlinear dimensionless indicators

    Hongrui Cao;Kai Zhou;Xuefeng Chen

  • Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD

    Boyuan Yang;Ruonan Liu;Xuefeng Chen

  • Intelligent fault diagnosis of roller bearings with multivariable ensemble-based incremental support vector machine

    XiaoLi Zhang;BaoJian Wang;XueFeng Chen

  • Sparse Feature Identification Based on Union of Redundant Dictionary for Wind Turbine Gearbox Fault Diagnosis

    Zhaohui Du;Xuefeng Chen;Han Zhang;Ruqiang Yan

  • Reliability estimation for cutting tools based on logistic regression model using vibration signals

    Baojia Chen;Xuefeng Chen;Bing Li;Zhengjia He

  • Multi-stable stochastic resonance and its application research on mechanical fault diagnosis

    Jimeng Li;Xuefeng Chen;Zhengjia He

  • Time-frequency atoms-driven support vector machine method for bearings incipient fault diagnosis

    Ruonan Liu;Boyuan Yang;Xiaoli Zhang;Shibin Wang

  • Matching Synchrosqueezing Wavelet Transform and Application to Aeroengine Vibration Monitoring

    Shibin Wang;Xuefeng Chen;Chaowei Tong;Zhibin Zhao

  • Review: Wavelet-based numerical analysis: A review and classification

    Bing Li;Xuefeng Chen

Frequent Co-Authors

Zhengjia He
Zhengjia He Xi'an Jiaotong University
Xingwu Zhang
Xingwu Zhang Xi'an Jiaotong University
Ruqiang Yan
Ruqiang Yan Xi'an Jiaotong University
Hongrui Cao
Hongrui Cao Xi'an Jiaotong University
Yanyang Zi
Yanyang Zi Xi'an Jiaotong University
Robert X. Gao
Robert X. Gao Case Western Reserve University
Ivan W. Selesnick
Ivan W. Selesnick New York University
Enrico Zio
Enrico Zio Polytechnic University of Milan
Ming J. Zuo
Ming J. Zuo University of Alberta
Guan-Jun Yang
Guan-Jun Yang Xi'an Jiaotong University

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