World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
57
Citations
12637
World Ranking
2632
National Ranking
527

Xinzheng Lu 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 Xinzheng Lu 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: 254 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Xinzheng Lu 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 Xinzheng Lu 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Xinzheng Lu is affiliated with Tsinghua University in China and specializes in the field of Engineering, with a particular focus on Civil and Structural Engineering. Their research covers several subfields, including Building and Construction, Computer Vision and Pattern Recognition, Geology, and Environmental Engineering.

The scientist's work centers around key topics such as Structural Health Monitoring Techniques, Seismic Performance and Analysis, Infrastructure Maintenance and Monitoring, Structural Response to Dynamic Loads, BIM and Construction Integration, 3D Surveying and Cultural Heritage, and Wind and Air Flow Studies.

Recent publications by Xinzheng Lu include the following papers:

  • Automated structural design of shear wall residential buildings using generative adversarial networks (2021), published in Automation in Construction
  • Real-time regional seismic damage assessment framework based on long short-term memory neural network (2020), published in Computer-Aided Civil and Infrastructure Engineering
  • Digital twin-based collapse fragility assessment of a long-span cable-stayed bridge under strong earthquakes (2021), published in Automation in Construction
  • Generative AI design for building structures (2023), published in Automation in Construction
  • A deep learning approach to rapid regional post-event seismic damage assessment using time-frequency distributions of ground motions (2021), published in Earthquake Engineering & Structural Dynamics

Xinzheng Lu frequently collaborates with several co-authors, including Wenjie Liao, Yuli Huang, Yuan Tian, Yifan Fei, and Hong Guan.

Their research contributions are regularly published in various venues, with multiple articles appearing in:

  • arXiv (Cornell University)
  • Journal of Building Engineering
  • Earthquake Engineering & Structural Dynamics
  • Engineering Structures
  • Automation in Construction

Best Publications

  • Bond-slip models for FRP sheets/plates bonded to concrete

    X. Z. Lu;X. Z. Lu;Jinguang Teng;L. P. Ye;J. J. Jiang

  • Research and practice on progressive collapse and robustness of building structures in the 21st century

    Jose M. Adams;Fulvio Parisi;Juan Sagaseta;Xinzheng Lu

  • A shear wall element for nonlinear seismic analysis of super-tall buildings using OpenSees

    Xinzheng Lu;Linlin Xie;Hong Guan;Yuli Huang

  • Meso-scale finite element model for FRP sheets/plates bonded to concrete

    X. Z. Lu;X. Z. Lu;L. P. Ye;Jinguang Teng;J. J. Jiang

  • Collapse simulation of reinforced concrete high‐rise building induced by extreme earthquakes

    Xiao Lu;Xinzheng Lu;Hong Guan;Lieping Ye

  • Intermediate Crack Debonding in FRP-Strengthened RC Beams: FE Analysis and Strength Model

    X. Z. Lu;X. Z. Lu;Jinguang Teng;Jinguang Teng;L. P. Ye;L. P. Ye;J. J. Jiang;J. J. Jiang

  • Experimental investigation of progressive collapse resistance of one-way reinforced concrete beam–slab substructures under a middle-column-removal scenario

    Peiqi Ren;Peiqi Ren;Yi Li;Xinzheng Lu;Hong Guan

  • An improved tie force method for progressive collapse resistance design of reinforced concrete frame structures

    Yi Li;Xinzheng Lu;Hong Guan;Lieping Ye

  • Experimental investigation of RC beam-slab substructures against progressive collapse subject to an edge-column-removal scenario

    Xinzheng Lu;Kaiqi Lin;Yi Li;Hong Guan

  • Automated structural design of shear wall residential buildings using generative adversarial networks

    Wenjie Liao;Xinzheng Lu;Yuli Huang;Zhe Zheng

  • Real‐time regional seismic damage assessment framework based on long short‐term memory neural network

    Yongjia Xu;Xinzheng Lu;Barbaros Cetiner;Ertugrul Taciroglu

  • Intelligent structural design of shear wall residence using physics‐enhanced generative adversarial networks

    Unknown

  • A nonlinear computational model for regional seismic simulation of tall buildings

    Chen Xiong;Xinzheng Lu;Hong Guan;Zhen Xu

  • Parameter Determination and Damage Assessment for THA-Based Regional Seismic Damage Prediction of Multi-Story Buildings

    Chen Xiong;Xinzheng Lu;Xuchuan Lin;Zhen Xu

  • A coarse-grained parallel approach for seismic damage simulations of urban areas based on refined models and GPU/CPU cooperative computing

    Xinzheng Lu;Bo Han;Muneo Hori;Chen Xiong

  • A virtual reality based fire training simulator with smoke hazard assessment capacity

    Z. Xu;X. Z. Lu;H. Guan;C. Chen

  • Digital twin-based collapse fragility assessment of a long-span cable-stayed bridge under strong earthquakes

    Kaiqi Lin;Kaiqi Lin;You Lin Xu;Xinzheng Lu;Zhongguo Guan

  • Generative AI design for building structures

    Unknown

  • A deep learning approach to rapid regional post‐event seismic damage assessment using time‐frequency distributions of ground motions

    Xinzheng Lu;Yongjia Xu;Yuan Tian;Barbaros Cetiner

  • Automated regional seismic damage assessment of buildings using an unmanned aerial vehicle and a convolutional neural network

    Chen Xiong;Qiangsheng Li;Xinzheng Lu

  • Finite element simulation of debonding in FRP-to-concrete bonded joints

    X. Z. Lu;X. Z. Lu;J. J. Jiang;Jinguang Teng;L. P. Ye

  • Earthquake-induced collapse simulation of a super-tall mega-braced frame-core tube building

    Xinzheng Lu;Xiao Lu;Hong Guan;Wankai Zhang

  • Collapse simulation of a super high-rise building subjected to extremely strong earthquakes

    Xiao Lu;XinZheng Lu;WanKai Zhang;LiePing Ye

  • Size Effects for Reinforced Concrete Beams Strengthened in Shear with CFRP Strips

    A. Godat;X. Z. Lu;P. Labossière;L. P. Ye

Frequent Co-Authors

Hong Guan
Hong Guan Griffith University
Jin-Guang Teng
Jin-Guang Teng Hong Kong Polytechnic University
Jian Fei Chen
Jian Fei Chen Southern University of Science and Technology
Ertugrul Taciroglu
Ertugrul Taciroglu University of California, Los Angeles
Gian Paolo Cimellaro
Gian Paolo Cimellaro Polytechnic University of Turin
Halil Sezen
Halil Sezen The Ohio State University
Izuru Takewaki
Izuru Takewaki Kyoto University
Fulvio Parisi
Fulvio Parisi University of Naples Federico II
Dongping Fang
Dongping Fang Tsinghua University
Ying Tian
Ying Tian Dalian Maritime University

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