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Shun-Peng Zhu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 67 474 431 69 69 214 13686

Shun-Peng Zhu publications per year

The chart shows the history of publications by Shun-Peng Zhu between 2010 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Shun-Peng Zhu published across 16 years, from 2010 to 2025, averaging 19.6 papers a year. Output peaked at 42 publications in 2025. 74 of the 313 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2010 to 2025. Vertical axis: number of publications, 0 to 42. Peak 42 publications in 2025. 2010: 2 publications 2011: 6 publications 2012: 11 publications 2013: 23 publications 2014: 5 publications 2015: 10 publications 2016: 13 publications 2017: 13 publications 2018: 13 publications 2019: 24 publications 2020: 29 publications 2021: 31 publications 2022: 25 publications 2023: 34 publications 2024: 32 publications 2025: 42 publications
2010 2025

313 publications in total across all disciplines

View publications per year as a table
Shun-Peng Zhu: publications per year, 2010 to 2025
Year Publications
2010 2
2011 6
2012 11
2013 23
2014 5
2015 10
2016 13
2017 13
2018 13
2019 24
2020 29
2021 31
2022 25
2023 34
2024 32
2025 42
Total 313
Download as CSV

Shun-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 Shun-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, 207–216 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: 214 publications — 49th percentile

49% 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
207–216 125 214
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

Shun-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 Shun-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, 67 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: 67 D-Index — 87th percentile

87% 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 67
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

Overview

Shun-Peng Zhu is a researcher affiliated with the University of Electronic Science and Technology of China in China. Their work is primarily situated within the field of Engineering, with a focus on several subfields including Mechanical Engineering, Mechanics of Materials, Statistics, Probability and Uncertainty, Civil and Structural Engineering, and Materials Chemistry.

Their research encompasses a variety of topics, notably:

  • Fatigue and fracture mechanics
  • Probabilistic and Robust Engineering Design
  • High Temperature Alloys and Creep
  • Structural Health Monitoring Techniques
  • Non-Destructive Testing Techniques
  • Additive Manufacturing Materials and Processes
  • Mechanical stress and fatigue analysis

Shun-Peng Zhu has contributed to both journal articles and book publications. Their recent papers include:

  • Design of robust superhydrophobic surfaces, 2020, Nature
  • Probabilistic framework for fatigue life assessment of notched components under size effects, 2020, International Journal of Mechanical Sciences
  • Recent advances on notch effects in metal fatigue: A review, 2020, Fatigue & Fracture of Engineering Materials & Structures
  • Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks, 2020, International Journal of Fatigue
  • A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower, 2022, Renewable Energy

Their book contributions, published by Springer International Publishing, include:

  • Structural Reliability Analysis, 2025
  • Advances in Structural Mechanics and Applications, 2022

Frequent co-authors of Shun-Peng Zhu are:

  • José A.F.O. Correia
  • Ding Liao
  • Abílio M.P. De Jesus
  • Qingyuan Wang
  • Behrooz Keshtegar

Shun-Peng Zhu has published extensively in several academic journals, including:

  • International Journal of Fatigue
  • Engineering Failure Analysis
  • SSRN Electronic Journal
  • Computer Methods in Applied Mechanics and Engineering
  • Proceedings of the Institution of Civil Engineers - Maritime Engineering

Best Publications

  • Design of robust superhydrophobic surfaces

    Dehui Wang;Qiangqiang Sun;Matti J. Hokkanen;Chenglin Zhang

  • Probabilistic framework for fatigue life assessment of notched components under size effects

    Ding Liao;Shun-Peng Zhu;Shun-Peng Zhu;Shun-Peng Zhu;Behrooz Keshtegar;Guian Qian

  • Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty

    Shun-Peng Zhu;Hong-Zhong Huang;Weiwen Peng;Hai-Kun Wang

  • Risk evaluation in failure mode and effects analysis of aircraft turbine rotor blades using Dempster–Shafer evidence theory under uncertainty

    Jianping Yang;Hong Zhong Huang;Li Ping He;Shun Peng Zhu

  • Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks

    Shun-Peng Zhu;Qiang Liu;Weiwen Peng;Xian-Cheng Zhang

  • Defect tolerant fatigue assessment of AM materials: Size effect and probabilistic prospects

    Unknown

  • Recent advances on notch effects in metal fatigue: A review

    Ding Liao;Shun‐Peng Zhu;José A.F.O. Correia;Abílio M.P. De Jesus

  • Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis

    Changqi Luo;Behrooz Keshtegar;Shun Peng Zhu;Osman Taylan

  • Ni-based layered double hydroxide catalysts for oxygen evolution reaction

    L. Yang;L. Yang;L. Yang;Z. Liu;S. Zhu;S. Zhu;L. Feng

  • A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower

    Unknown

  • Fatigue reliability assessment of turbine discs under multi‐source uncertainties

    S.P. Zhu;S.P. Zhu;Q. Liu;J. Zhou;Z.Y. Yu

  • Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks

    Xiao-Peng Niu;Run-Zi Wang;Ding Liao;Shun-Peng Zhu

  • A modified strain energy density exhaustion model for creep–fatigue life prediction

    Run-Zi Wang;Xian-Cheng Zhang;Shan-Tung Tu;Shun-Peng Zhu

  • Probabilistic fatigue life prediction and reliability assessment of a high pressure turbine disc considering load variations

    Shun-Peng Zhu;Shun-Peng Zhu;Qiang Liu;Qiang Lei;Qingyuan Wang

  • Probabilistic framework for multiaxial LCF assessment under material variability

    S. P. Zhu;S. P. Zhu;Stefano Foletti;Stefano Beretta

  • A generalized energy-based fatigue–creep damage parameter for life prediction of turbine disk alloys

    Shun-Peng Zhu;Hong-Zhong Huang;Li-Ping He;Yu Liu

  • Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches

    Unknown

  • Evaluation and comparison of critical plane criteria for multiaxial fatigue analysis of ductile and brittle materials

    Shun-Peng Zhu;Shun-Peng Zhu;Zheng-Yong Yu;José Correia;Abílio De Jesus

  • Bivariate Analysis of Incomplete Degradation Observations Based on Inverse Gaussian Processes and Copulas

    Weiwen Peng;Yan-Feng Li;Yuan-Jian Yang;Shun-Peng Zhu

  • Multiaxial fatigue analysis of notched components using combined critical plane and critical distance approach

    Ding Liao;Shun-Peng Zhu;Shun-Peng Zhu;Guian Qian

  • Probabilistic modeling of fatigue life distribution and size effect of components with random defects

    Y. Ai;S.P. Zhu;S.P. Zhu;D. Liao;J.A.F.O. Correia

  • Strain energy gradient-based LCF life prediction of turbine discs using critical distance concept

    Shun-Peng Zhu;Shun-Peng Zhu;Yunhan Liu;Qiang Liu;Zheng-Yong Yu

  • Structural reliability analysis and uncertainties-based collaborative design and optimization of turbine blades using surrogate model

    Debiao Meng;Shunqi Yang;Yu Zhang;Shun‐Peng Zhu

  • Mean stress effect correction in strain energy-based fatigue life prediction of metals:

    Shun-Peng Zhu;Qiang Lei;Hong-Zhong Huang;Yuan-Jian Yang

Frequent Co-Authors

Hong-Zhong Huang
Hong-Zhong Huang University of Electronic Science and Technology of China
José A.F.O. Correia
José A.F.O. Correia University of Porto
Behrooz Keshtegar
Behrooz Keshtegar Zabol University
Yan-Feng Li
Yan-Feng Li University of Electronic Science and Technology of China
Abílio M.P. De Jesus
Abílio M.P. De Jesus University of Porto
Yu Liu
Yu Liu University of Electronic Science and Technology of China
Stefano Beretta
Stefano Beretta Polytechnic University of Milan
Shan-Tung Tu
Shan-Tung Tu East China University of Science and Technology
Filippo Berto
Filippo Berto Sapienza University of Rome
Sankaran Mahadevan
Sankaran Mahadevan Vanderbilt University

External Links

Personal website of Shun-Peng Zhu Google Scholar page

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Best Scientists Citing Shun-Peng Zhu

Hong-Zhong Huang

Hong-Zhong Huang

University of Electronic Science and Technology of China

Publications: 35

Yong Deng

Yong Deng

University of Electronic Science and Technology of China

Publications: 23

José A.F.O. Correia

José A.F.O. Correia

University of Porto

Publications: 21

Filippo Berto

Filippo Berto

Sapienza University of Rome

Publications: 18

Yan-Feng Li

Yan-Feng Li

University of Electronic Science and Technology of China

Publications: 17

Enrico Zio

Enrico Zio

Polytechnic University of Milan

Publications: 16

Behrooz Keshtegar

Behrooz Keshtegar

Zabol University

Publications: 11

Lei Zhao

Lei Zhao

Tianjin University

Publications: 10

Abílio M.P. De Jesus

Abílio M.P. De Jesus

University of Porto

Publications: 9

Hu-Chen Liu

Hu-Chen Liu

Tongji University

Publications: 9

Lianyong Xu

Lianyong Xu

Tianjin University

Publications: 9

Ricardo Branco

Ricardo Branco

University of Coimbra

Publications: 8

Yongdian Han

Yongdian Han

Tianjin University

Publications: 8

Guozheng Kang

Guozheng Kang

Southwest Jiaotong University

Publications: 8

Yu Liu

Yu Liu

University of Electronic Science and Technology of China

Publications: 7

Shan-Tung Tu

Shan-Tung Tu

East China University of Science and Technology

Publications: 7

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