World's Best Scientists 2026 revealed!
Zhenjun Yang

Zhenjun Yang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 43 6132 5913 1162 1156 150 7748

Zhenjun Yang publications per year

The chart shows the history of publications by Zhenjun Yang between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zhenjun Yang published across 25 years, from 2001 to 2025, averaging 7.6 papers a year. Output peaked at 22 publications in 2018. 32 of the 190 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2001 to 2025. Vertical axis: number of publications, 0 to 22. Peak 22 publications in 2018. 2001: 2 publications 2002: 0 publications 2003: 0 publications 2004: 3 publications 2005: 1 publication 2006: 7 publications 2007: 5 publications 2008: 5 publications 2009: 3 publications 2010: 5 publications 2011: 6 publications 2012: 11 publications 2013: 7 publications 2014: 5 publications 2015: 10 publications 2016: 10 publications 2017: 11 publications 2018: 22 publications 2019: 17 publications 2020: 7 publications 2021: 7 publications 2022: 11 publications 2023: 3 publications 2024: 17 publications 2025: 15 publications
2001 2025

190 publications in total across all disciplines

View publications per year as a table
Zhenjun Yang: publications per year, 2001 to 2025
Year Publications
2001 2
2002 0
2003 0
2004 3
2005 1
2006 7
2007 5
2008 5
2009 3
2010 5
2011 6
2012 11
2013 7
2014 5
2015 10
2016 10
2017 11
2018 22
2019 17
2020 7
2021 7
2022 11
2023 3
2024 17
2025 15
Total 190
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Zhenjun Yang publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Zhenjun Yang sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 148–157 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 150 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457 150
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Zhenjun Yang D-index placement in Engineering and Technology in 2026

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

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 43 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380 43
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
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Overview

Zhenjun Yang is affiliated with Wuhan University in China and has an extensive research record primarily focused on engineering. Their work encompasses several subfields, including Civil and Structural Engineering, Mechanics of Materials, Building and Construction, Mechanical Engineering, and Computational Mechanics.

Their research addresses various topics within these fields, such as:

  • Innovative concrete reinforcement materials
  • Rock Mechanics and Modeling
  • Numerical methods in engineering
  • Structural Behavior of Reinforced Concrete
  • Fluid Dynamics Simulations and Interactions
  • Concrete Corrosion and Durability
  • Electric Motor Design and Analysis

Zhenjun Yang has contributed to multiple publications, with some of the recent papers including:

  • An efficient computational framework for generating realistic 3D mesoscale concrete models using micro X-ray computed tomography images and dynamic physics engine, 2021, Cement and Concrete Composites
  • Effects of fibre orientation on tensile properties of ultra high performance fibre reinforced concrete based on meso-scale Monte Carlo simulations, 2022, Composite Structures
  • A spherical harmonic-random field coupled method for efficient reconstruction of CT-image based 3D aggregates with controllable multiscale morphology, 2023, Computer Methods in Applied Mechanics and Engineering
  • Multiscale image-based modelling of damage and fracture in carbon fibre reinforced polymer composites, 2020, Composites Science and Technology
  • A hydro-mechanical-damage fully coupled cohesive phase field model for complicated fracking simulations in poroelastic media, 2022, Computer Methods in Applied Mechanics and Engineering

Frequent co-authors who have collaborated with Zhenjun Yang include:

  • Yujie Huang
  • Hui Zhang
  • Fu-qiang Guo
  • Zihua Zhang
  • Yaqi Li

Their research has been published frequently in venues such as:

  • Engineering Fracture Mechanics
  • SSRN Electronic Journal
  • Composite Structures
  • Computer Methods in Applied Mechanics and Engineering
  • Construction and Building Materials

Zhenjun Yang's publication record shows a strong focus on topics related to materials and structural analysis within engineering, supported by a diverse yet concentrated set of research areas and collaborative partnerships.

Best Publications

  • 3D meso-scale fracture modelling and validation of concrete based on in-situ X-ray Computed Tomography images using damage plasticity model

    Yujie Huang;Zhenjun Yang;Zhenjun Yang;Wenyuan Ren;Guohua Liu

  • Two-dimensional X-ray CT image based meso-scale fracture modelling of concrete

    Wenyuan Ren;Zhenjun Yang;Zhenjun Yang;Rajneesh Sharma;Ch Zhang

  • Monte Carlo simulations of mesoscale fracture modelling of concrete with random aggregates and pores

    X. F. Wang;Zhenjun J. Yang;J. R. Yates;A. P. Jivkov

  • An analytical analysis of the full-range behaviour of grouted rockbolts based on a tri-linear bond-slip model

    F. F. Ren;F. F. Ren;Z. J. Yang;Jian-Fei Chen;W. W. Chen

  • Monte Carlo simulation of complex cohesive fracture in random heterogeneous quasi-brittle materials

    Xiangting Su;Xiangting Su;Zhenjun Yang;Guohua Liu

  • Polygon scaled boundary finite elements for crack propagation modelling

    Ean Tat Ooi;Chongmin Song;Francis Tin-Loi;Zhenjun Yang

  • Experimental and numerical studies of size effects of Ultra High Performance Steel Fibre Reinforced Concrete (UHPFRC) beams

    Goran H. Mahmud;Zhenjun Yang;Zhenjun Yang;Aram M.T. Hassan

  • In-situ X-ray computed tomography characterisation of 3D fracture evolution and image-based numerical homogenisation of concrete

    Zhenjun Yang;W. Ren;R. Sharma;S. McDonald

  • Monte Carlo simulations of meso-scale dynamic compressive behavior of concrete based on X-ray computed tomography images

    Y.J. Huang;Z.J. Yang;X.W. Chen;G.H. Liu

  • Fully automatic modelling of mixed-mode crack propagation using scaled boundary finite element method

    Zhenjun Yang;Zhenjun Yang

  • Monte Carlo Simulations of Mesoscale Fracture of Concrete with Random Aggregates and Pores: a Size Effect Study

    Xiaofeng Wang;Zhenjun Yang;Andrey P. Jivkov

  • Fatigue behaviour of recycled aggregate concrete under compression and bending cyclic loadings

    Jianzhuang Xiao;Hong Li;Zhenjun Yang

  • Finite element modelling of complex 3D static and dynamic crack propagation by embedding cohesive elements in Abaqus

    Xiangting Su;Xiangting Su;Zhenjun Yang;Guohua Liu

  • FRP or Steel Plate-to-Concrete Bonded Joints: effect of test methods on Experimental Bond Strength

    Jian-Fei Chen;Z. Yang;G. D. Holt

  • Finite element modelling of multiple cohesive discrete crack propagation in reinforced concrete beams

    Z.J. Yang;Jianfei Chen

  • A heterogeneous cohesive model for quasi-brittle materials considering spatially varying random fracture properties

    Zhenjun Yang;X. Frank Xu

  • 2D and 3D homogenization and fracture analysis of concrete based on in-situ X-ray Computed Tomography images and Monte Carlo simulations

    Yujie Huang;Dongming Yan;Zhenjun Yang;Guohua Liu

  • Fully-automatic modelling of cohesive crack growth using a finite element-scaled boundary finite element coupled method

    Z.J. Yang;Andrew Deeks

  • X-ray computed tomography images based phase-field modeling of mesoscopic failure in concrete

    Zhen-Jun Yang;Bei-Bei Li;Jian-Ying Wu

  • Shear transfer across a crack in recycled aggregate concrete

    Jianzhuang Xiao;He Xie;Zhenjun Yang

  • Fully automatic modelling of cohesive discrete crack propagation in concrete beams using local arc-length methods

    Zhenjun Yang;Jianfei Chen

Frequent Co-Authors

Jian Fei Chen
Jian Fei Chen Southern University of Science and Technology
Hong Hao
Hong Hao Curtin University
Philip J. Withers
Philip J. Withers University of Manchester
Chongmin Song
Chongmin Song University of New South Wales
Jianzhuang Xiao
Jianzhuang Xiao Tongji University
Francis Tin-Loi
Francis Tin-Loi University of New South Wales
Constantinos Soutis
Constantinos Soutis University of Manchester
Chuanzeng Zhang
Chuanzeng Zhang University of Siegen
Thomas James Marrow
Thomas James Marrow University of Oxford
Yong Lu
Yong Lu University of Edinburgh

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