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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 40 2074 1926 247 247 144 4893

Dejie Yu publications per year

The chart shows the history of publications by Dejie Yu between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Dejie Yu published across 26 years, from 2000 to 2025, averaging 6.9 papers a year. Output peaked at 21 publications in 2017. 12 of the 179 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2017. 2000: 2 publications 2001: 0 publications 2002: 2 publications 2003: 1 publication 2004: 0 publications 2005: 1 publication 2006: 1 publication 2007: 0 publications 2008: 3 publications 2009: 0 publications 2010: 2 publications 2011: 2 publications 2012: 7 publications 2013: 11 publications 2014: 10 publications 2015: 16 publications 2016: 18 publications 2017: 21 publications 2018: 19 publications 2019: 14 publications 2020: 11 publications 2021: 9 publications 2022: 11 publications 2023: 6 publications 2024: 5 publications 2025: 7 publications
2000 2025

179 publications in total across all disciplines

View publications per year as a table
Dejie Yu: publications per year, 2000 to 2025
Year Publications
2000 2
2001 0
2002 2
2003 1
2004 0
2005 1
2006 1
2007 0
2008 3
2009 0
2010 2
2011 2
2012 7
2013 11
2014 10
2015 16
2016 18
2017 21
2018 19
2019 14
2020 11
2021 9
2022 11
2023 6
2024 5
2025 7
Total 179
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Dejie Yu 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 Dejie Yu 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, 137–146 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: 144 publications — 22nd percentile

22% 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
137–146 140 144
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
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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Dejie Yu 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 Dejie Yu 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, 40 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: 40 D-Index — 43rd percentile

43% 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 40
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
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
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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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