World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
49
Citations
16045
World Ranking
4210
National Ranking
228

Hao Zhang 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 Hao Zhang sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 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: 117 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: 59 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: 184 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Hao Zhang 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 Hao Zhang sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 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: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 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: 94 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: 24 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: 49 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Overview

Hao Zhang is affiliated with the University of Sydney in Australia and has an extensive research record primarily in the field of Engineering, with a particular focus on Civil and Structural Engineering. Their work spans multiple subfields, including Mechanical Engineering, Mechanics of Materials, Building and Construction, and Statistics, Probability and Uncertainty.

The scientist's research topics are diverse and center on key aspects of structural engineering and material behavior. These main topics include:

  • Structural Load-Bearing Analysis
  • Seismic Performance and Analysis
  • Structural Health Monitoring Techniques
  • Structural Behavior of Reinforced Concrete
  • Concrete Corrosion and Durability
  • Probabilistic and Robust Engineering Design
  • Infrastructure Maintenance and Monitoring

Zhang's publication record reflects engagement with influential journals and venues frequently publishing their work. The notable venues where they have contributed multiple papers are:

  • Structural Safety
  • Journal of Constructional Steel Research
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Thin-Walled Structures

Among recent scientific papers authored or co-authored by Hao Zhang are the following:

  • "Monitoring and evaluation of the repair quality of concrete cracks using piezoelectric smart aggregates," 2021, published in Construction and Building Materials
  • "Solving Fokker-Planck equations using deep KD-tree with a small amount of data," 2022, published in Nonlinear Dynamics

Other significant papers in related fields, though not authored by Zhang, illustrate the broader research landscape they contribute to:

  • "Integrated structural health monitoring in bridge engineering," 2022, published in Automation in Construction
  • "The mechanics of built-up cold-formed steel members," 2020, published in Thin-Walled Structures
  • "Tunnel lining crack detection model based on improved YOLOv5," 2024, published in Tunnelling and Underground Space Technology

Frequent collaborators in Zhang's research include Kim J.R. Rasmussen, Shen Yan, Cao Wang, Quanwang Li, and Mani Khezri, reflecting ongoing partnerships across multiple published works. Rasmussen is noted as the most frequent coauthor, with 17 joint publications. Others have contributed from 5 to 8 coauthored papers with Zhang.

Best Publications

  • SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler

    Ruibang Luo;Binghang Liu;Yinlong Xie;Yinlong Xie;Zhenyu Li

  • Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species

    Keith R. Bradnam;Joseph N. Fass;Anton Alexandrov;Paul Baranay

  • Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species

    Keith R. Bradnam;Joseph N. Fass;Anton Alexandrov;Paul Baranay

  • Hierarchical porous carbon obtained from animal bone and evaluation in electric double-layer capacitors

    Wentao Huang;Hao Zhang;Yaqin Huang;Weikun Wang

  • Estimation of genomic characteristics by analyzing k-mer frequency in de novo genome projects

    Binghang Liu;Yujian Shi;Jianying Yuan;Xuesong Hu

  • Pig bone derived hierarchical porous carbon and its enhanced cycling performance of lithium–sulfur batteries

    Shaochen Wei;Hao Zhang;Yaqin Huang;Weikun Wang

  • Comparison of the two major classes of assembly algorithms: overlap-layout-consensus and de-bruijn-graph.

    Zhenyu Li;Yanxiang Chen;Desheng Mu;Jianying Yuan

  • Erratum to "SOAPdenovo2: An empirically improved memory-efficient short-read de novo assembler" [GigaScience, (2012), 1, 18]

    Ruibang Luo;Binghang Liu;Yinlong Xie;Zhenyu Li

  • A fish scale based hierarchical lamellar porous carbon material obtained using a natural template for high performance electrochemical capacitors

    Weixin Chen;Hao Zhang;Yaqin Huang;Weikun Wang

  • Interval Monte Carlo methods for structural reliability

    Hao Zhang;Robert L. Mullen;Rafi L. Muhanna

  • pIRS: Profile-based Illumina pair-end reads simulator

    Xuesong Hu;Jianying Yuan;Yujian Shi;Jianliang Lu

  • A FORCE PREDICTION MODEL FOR CUTTING UNIDIRECTIONAL FIBRE-REINFORCED PLASTICS

    L. C. Zhang;H. J. Zhang;X. M. Wang

  • Nano-TiO 2 decorated carbon coating on the separator to physically and chemically suppress the shuttle effect for lithium-sulfur battery

    Hongyuan Shao;Weikun Wang;Hao Zhang;Anbang Wang

  • A novel porous nanocomposite of sulfur/carbon obtained from fish scales for lithium–sulfur batteries

    Shengrong Zhao;Chengming Li;Weikun Wang;Hao Zhang

  • Interval Finite Elements as a Basis for Generalized Models of Uncertainty in Engineering Mechanics

    Rafi L. Muhanna;Hao Zhang;Robert L. Mullen

  • Structural reliability analysis on the basis of small samples: An interval quasi-Monte Carlo method

    Hao Zhang;Hongzhe Dai;Michael Beer;Wei Wang

  • Structural Reliability Assessment by Local Approximation of Limit State Functions Using Adaptive Markov Chain Simulation and Support Vector Regression

    Hongzhe Dai;Hao Zhang;Wei Wang;Guofeng Xue

  • One-dimensional van der Waals heterostructures

    Rong Xiang;Taiki Inoue;Yongjia Zheng;Akihito Kumamoto

  • Crab shell-derived nitrogen-doped micro-/mesoporous carbon as an effective separator coating for high energy lithium–sulfur batteries

    Hongyuan Shao;Fei Ai;Weikun Wang;Hao Zhang

  • Nano-CaCO3 as template for preparation of disordered large mesoporous carbon with hierarchical porosities

    Chunrong Zhao;Weikun Wang;Zhongbao Yu;Hao Zhang

  • The electrochemical performance of lithium–sulfur batteries with LiClO4 DOL/DME electrolyte

    Weikun Wang;You Wang;Yaqin Huang;Chongjun Huang

  • Probabilistic study of the strength of steel scaffold systems

    H. Zhang;T. Chandrangsu;K.J.R. Rasmussen

  • Experimental and numerical studies on a single-layer cylindrical reticulated shell with semi-rigid joints

    Huihuan Ma;Feng Fan;Peng Wen;Hao Zhang

  • Structural change of the porous sulfur cathode using gelatin as a binder during discharge and charge

    You Wang;Yaqin Huang;Weikun Wang;Chongjun Huang

Frequent Co-Authors

Kim J.R. Rasmussen
Kim J.R. Rasmussen University of Sydney
Bruce R. Ellingwood
Bruce R. Ellingwood Colorado State University
Michael Beer
Michael Beer University of Liverpool
Tak-Wah Lam
Tak-Wah Lam University of Hong Kong
Feng Wang
Feng Wang Beijing University of Chemical Technology
Yingrui Li
Yingrui Li Beijing Institute of Genomics
Jianhua Lin
Jianhua Lin Peking University
Siu-Ming Yiu
Siu-Ming Yiu University of Hong Kong
huanming yang
huanming yang Beijing Genomics Institute

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