World's Best Scientists 2026 revealed!
Kun-Peng Zhu

Kun-Peng Zhu

H-index 34

Last Updated:

D-Index & Metrics

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Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 34 2880 2703 357 356 106 4338

Kun-Peng Zhu publications per year

The chart shows the history of publications by Kun-Peng Zhu between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kun-Peng Zhu published across 19 years, from 2007 to 2025, averaging 6.5 papers a year. Output peaked at 22 publications in 2021. 25 of the 124 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2007 to 2025. Vertical axis: number of publications, 0 to 22. Peak 22 publications in 2021. 2007: 2 publications 2008: 4 publications 2009: 4 publications 2010: 0 publications 2011: 1 publication 2012: 1 publication 2013: 2 publications 2014: 2 publications 2015: 3 publications 2016: 4 publications 2017: 7 publications 2018: 11 publications 2019: 5 publications 2020: 6 publications 2021: 22 publications 2022: 10 publications 2023: 15 publications 2024: 11 publications 2025: 14 publications
2007 2025

124 publications in total across all disciplines

View publications per year as a table
Kun-Peng Zhu: publications per year, 2007 to 2025
Year Publications
2007 2
2008 4
2009 4
2010 0
2011 1
2012 1
2013 2
2014 2
2015 3
2016 4
2017 7
2018 11
2019 5
2020 6
2021 22
2022 10
2023 15
2024 11
2025 14
Total 124
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Kun-Peng Zhu publications per year - data summary

  • Kun-Peng Zhu, a Mechanical and Aerospace Engineering scholar from Chinese Academy of Sciences, has 124 publications recorded across 19 years, from 2007 to 2025.
  • The oldest publication on record dates to 2007 and the most recent to 2025.
  • The most productive year is 2021, with 22 publications.
  • The least productive years with any output are 2011 and 2012, with 1 publication each.
  • 1 of the 19 years in the span carries no publications at all (2010).
  • The rate of publication averages 6.5 papers per year over the whole span, or 6.9 per year counting only the 18 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 72 publications, 58% of the career total.
  • Split into equal eras - 2007-2013: 14 publications (2.0 per year); 2014-2020: 38 publications (5.4 per year); 2021-2025: 72 publications (14.4 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Kun-Peng Zhu 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 Kun-Peng Zhu 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, 97–106 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: 106 publications — 8th percentile

8% 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 91 106
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
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
Download as CSV

Kun-Peng Zhu publication distribution in Mechanical and Aerospace Engineering in 2026 - data summary

  • The chart plots the publication count of all 3,445 Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026, grouped into 63 ranges running from 47–56 to 659+ publications.
  • Kun-Peng Zhu, a Mechanical and Aerospace Engineering scholar from Chinese Academy of Sciences, records 106 publications - the 8th percentile of the discipline.
  • 8% of ranked Mechanical and Aerospace Engineering scientists score the same or lower than Kun-Peng Zhu, and about 92% score higher.
  • The median of the discipline falls in the 217–226 publications range, and Kun-Peng Zhu ranks below the median.
  • The most crowded range is 147–156 publications, holding 155 scientists (4% of the field).
  • 46% of the field sits in the lowest quarter of the value range (up to 197–206 publications), so the distribution leans towards the lower end of the scale.
  • The final bar has no upper bound: it groups every scientist with 659 publications or more, 100 scientists in all (3% of the field).

Kun-Peng Zhu 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 Kun-Peng Zhu 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, 34 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: 34 D-Index — 20th percentile

20% 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 34
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
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
Download as CSV

Kun-Peng Zhu D-index placement in Mechanical and Aerospace Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 3,445 Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026, grouped into 64 ranges running from 30 to 93+ D-Index.
  • Kun-Peng Zhu, a Mechanical and Aerospace Engineering scholar from Chinese Academy of Sciences, records 34 D-Index - the 20th percentile of the discipline.
  • 20% of ranked Mechanical and Aerospace Engineering scientists score the same or lower than Kun-Peng Zhu, and about 80% score higher.
  • The median of the discipline falls in the 43 D-Index range, and Kun-Peng Zhu ranks below the median.
  • The most crowded range is 34 D-Index, holding 189 scientists (5% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 45 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 93 D-Index or more, 100 scientists in all (3% of the field).

Best Publications

  • Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results

    Kunpeng Zhu;Yoke San Wong;Geok Soon Hong

  • Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring

    Yingjie Zhang;Geok Soon Hong;Dongsen Ye;Kunpeng Zhu

  • Defect detection in selective laser melting technology by acoustic signals with deep belief networks

    Dongsen Ye;Geok Soon Hong;Yingjie Zhang;Kunpeng Zhu

  • Multi-category micro-milling tool wear monitoring with continuous hidden Markov models

    Kunpeng Zhu;Yoke San Wong;Geok Soon Hong

  • A generic tool wear model and its application to force modeling and wear monitoring in high speed milling

    Unknown

  • Online Tool Wear Monitoring Via Hidden Semi-Markov Model With Dependent Durations

    Unknown

  • A Review of Spatter in Laser Powder Bed Fusion Additive Manufacturing: In Situ Detection, Generation, Effects, and Countermeasures

    Unknown

  • The monitoring of micro milling tool wear conditions by wear area estimation

    Unknown

  • In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks.

    Dongsen Ye;Jerry Ying Hsi Fuh;Yingjie Zhang;Geok Soon Hong

  • A machine vision system for micro-milling tool condition monitoring

    Unknown

  • Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks

    Yingjie Zhang;Hong Geok Soon;Dongsen Ye;Jerry Ying Hsi Fuh

  • Sensor fusion for online tool condition monitoring in milling

    W. H. Wang;G. S. Hong;Y. S. Wong;K. P. Zhu

  • A generic instantaneous undeformed chip thickness model for the cutting force modeling in micromilling

    Unknown

  • Tool wear estimation and life prognostics in milling: Model extension and generalization

    Unknown

  • Big Data Oriented Smart Tool Condition Monitoring System

    Unknown

  • Online condition monitoring in micro-milling: A force waveform shape analysis approach

    Unknown

  • The investigation of plume and spatter signatures on melted states in selective laser melting

    Dongsen Ye;Dongsen Ye;Dongsen Ye;Kunpeng Zhu;Jerry Ying Hsi Fuh;Yingjie Zhang

  • Interpretable deep learning approach for tool wear monitoring in high-speed milling

    Unknown

  • Diagnosis and Prognosis of Degradation Process via Hidden Semi-Markov Model

    Unknown

  • An Adaptive Activation Transfer Learning Approach for Fault Diagnosis

    Unknown

Imed Bouchrika, PhD

Data reviewed by: Imed Bouchrika, PhD

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