World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
6193
World Ranking
5630
National Ranking
293

Xinqun Zhu 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 Xinqun Zhu sits on this spectrum.

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 publications 804+

This scientist: 230 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Xinqun Zhu 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 Xinqun Zhu sits on this spectrum.

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: 45 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Xinqun Zhu is affiliated with the University of Technology Sydney in Australia. Their research contributions primarily lie within the field of Engineering, with a focus on Civil and Structural Engineering, Mechanics of Materials, Mechanical Engineering, Control and Systems Engineering, and Statistics, Probability and Uncertainty.

Their body of work centers on several main topics, including:

  • Structural Health Monitoring Techniques
  • Infrastructure Maintenance and Monitoring
  • Ultrasonics and Acoustic Wave Propagation
  • Concrete Corrosion and Durability
  • Seismic Performance and Analysis
  • Probabilistic and Robust Engineering Design
  • Structural Load-Bearing Analysis

Recent significant papers authored or co-authored by Xinqun Zhu include:

  • Multifunctional cementitious composites with integrated self-sensing and hydrophobic capacities toward smart structural health monitoring, 2021, Cement and Concrete Composites
  • Time-varying characteristics of bridges under the passage of vehicles using synchroextracting transform, 2020, Mechanical Systems and Signal Processing
  • Seismic performance analysis of a large-scale single-layer lattice dome with a hybrid three-directional seismic isolation system, 2020, Engineering Structures
  • A Two-Step Drive-By Bridge Damage Detection Using Dual Kalman Filter, 2020, International Journal of Structural Stability and Dynamics
  • Damage identification of steel-concrete composite beams based on modal strain energy changes through general regression neural network, 2021, Engineering Structures

Xinqun Zhu frequently collaborates with other researchers, with notable co-authors including Jianchun Li, Jiantao Li, Huidong Zhang, Bijan Samali, and Yang Yu.

Their publications appear predominantly in specialised venues relevant to their research fields. The most frequent publication outlets include:

  • Engineering Structures
  • International Journal of Structural Stability and Dynamics
  • Advances in Structural Engineering
  • Sensors
  • Structures

Best Publications

  • Wavelet-based crack identification of bridge beam from operational deflection time history

    Xinqun Zhu;S.S. Law

  • Bridge dynamic responses due to road surface roughness and braking of vehicle

    S.S. Law;Xinqun Zhu

  • Dynamic behavior of damaged concrete bridge structures under moving vehicular loads

    S.S. Law;X.Q. Zhu

  • Structural damage detection from wavelet packet sensitivity

    S. S. Law;X. Y. Li;X. Q. Zhu;Siu Lai Chan

  • Vehicle axle loads identification using finite element method

    S. S. Law;J. Q. Bu;X. Q. Zhu;Siu Lai Chan

  • Innovative Bridge Condition Assessment from Dynamic Response of a Passing Vehicle

    J.Q. Bu;J.Q. Bu;J.Q. Bu;S.S. Law;S.S. Law;S.S. Law;Xinqun Zhu

  • Structural Health Monitoring Based on Vehicle-Bridge Interaction: Accomplishments and Challenges

    Xinqun Zhu;Siu-Seong Law

  • DYNAMIC LOAD ON CONTINUOUS MULTI-LANE BRIDGE DECK FROM MOVING VEHICLES

    Xinqun Zhu;S.S. Law

  • Flexural behaviour of composite steel–concrete beams utilising blind bolt shear connectors

    Sameera Wijesiri Pathirana;Brian Uy;Olivia Mirza;Xinqun Zhu

  • Regularization in moving force identification

    S.S. Law;S.S. Law;Tommy H.T. Chan;Tommy H.T. Chan;Q.X. Zhu;Q.X. Zhu;Q.H. Zeng;Q.H. Zeng

  • Time-varying wind load identification from structural responses

    S.S. Law;J.Q. Bu;Xinqun Zhu

  • Damage detection in simply supported concrete bridge structure under moving vehicular loads

    Xinqun Zhu;Siu-Seong Law

  • Recent developments in inverse problems of vehicle–bridge interaction dynamics

    Xinqun Zhu;Siu-Seong Law

  • Multifunctional cementitious composites with integrated self-sensing and hydrophobic capacities toward smart structural health monitoring

    Wenkui Dong;Wengui Li;Xinqun Zhu;Daichao Sheng

  • Guided wave propagation and spectral element method for debonding damage assessment in RC structures

    Ying Wang;Xinqun Zhu;Hong Hao;Jinping Ou

  • Indirect bridge modal parameters identification with one stationary and one moving sensors and stochastic subspace identification

    Jiantao Li;Xinqun Zhu;Siu-seong Law;Bijan Samali

  • Time-varying system identification using a newly improved HHT algorithm

    Chunxiao Bao;Hong Hao;Zhong-Xian Li;Xinqun Zhu

  • ORTHOGONAL FUNCTION IN MOVING LOADS IDENTIFICATION ON A MULTI-SPAN BRIDGE

    X.Q. Zhu;S.S. Law

  • Evaluation of dynamic vehicle axle loads on bridges with different surface conditions

    Lina Ding;Hong Hao;Xinqun Zhu

  • MOVING FORCES IDENTIFICATION ON A MULTI-SPAN CONTINUOUS BRIDGE

    X.Q. Zhu;S.S. Law

  • Moving load identification on multi-span continuous bridges with elastic bearings

    Xinqun Zhu;S.S. Law

Frequent Co-Authors

Hong Hao
Hong Hao Curtin University
Siu-Seong Law
Siu-Seong Law Chongqing University
Brian Uy
Brian Uy University of Sydney
Bijan Samali
Bijan Samali Western Sydney University
Ying Wang
Ying Wang Tongji University
Yong Xia
Yong Xia Hong Kong Polytechnic University
Yang Xiang
Yang Xiang Swinburne University of Technology
Liao-Liang Ke
Liao-Liang Ke Tianjin University
Jianchun Li
Jianchun Li University of Technology Sydney
Jinping Ou
Jinping Ou Harbin Institute of Technology

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