World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 84 155 141 24 24 450 27597

Xuefeng Chen publications per year

The chart shows the history of publications by Xuefeng Chen between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xuefeng Chen published across 22 years, from 2004 to 2025, averaging 48 papers a year. Output peaked at 154 publications in 2023. 300 of the 1,057 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 154. Peak 154 publications in 2023. 2004: 1 publication 2005: 2 publications 2006: 4 publications 2007: 4 publications 2008: 8 publications 2009: 7 publications 2010: 11 publications 2011: 8 publications 2012: 13 publications 2013: 17 publications 2014: 18 publications 2015: 29 publications 2016: 46 publications 2017: 43 publications 2018: 44 publications 2019: 64 publications 2020: 57 publications 2021: 83 publications 2022: 144 publications 2023: 154 publications 2024: 153 publications 2025: 147 publications
2004 2025

1,057 publications in total across all disciplines

View publications per year as a table
Xuefeng Chen: publications per year, 2004 to 2025
Year Publications
2004 1
2005 2
2006 4
2007 4
2008 8
2009 7
2010 11
2011 8
2012 13
2013 17
2014 18
2015 29
2016 46
2017 43
2018 44
2019 64
2020 57
2021 83
2022 144
2023 154
2024 153
2025 147
Total 1,057
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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.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 447–456 publications, is where this scientist sits. 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
47–56 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.

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23 450
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
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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.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 84 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7 84
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
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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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