World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
69
Citations
18138
World Ranking
1132
National Ranking
219

Hong-Nan Li 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 Hong-Nan Li 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: 641 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Hong-Nan Li 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 Hong-Nan Li 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: 69 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Structural engineering
  • Composite material
  • Mechanical engineering

Hong-Nan Li mainly focuses on Structural engineering, Structural health monitoring, Transducer, Finite element method and Vibration. His work deals with themes such as Actuator and Shape-memory alloy, which intersect with Structural engineering. His Structural health monitoring research integrates issues from Algorithm, Modal and System identification.

His OpenSees study in the realm of Finite element method connects with subjects such as Fragility. The various areas that he examines in his Vibration study include Control theory, Transmission, Bridge, Simulation and Equations of motion. His Damper study incorporates themes from Vibration control and SMA*.

His most cited work include:

  • Recent applications of fiber optic sensors to health monitoring in civil engineering (603 citations)
  • Applications of shape memory alloys in civil structures (431 citations)
  • Optimal sensor placement for structural health monitoring based on multiple optimization strategies (201 citations)

What are the main themes of his work throughout his whole career to date?

Structural engineering, Structural health monitoring, Damper, Vibration and Transmission tower are his primary areas of study. In his research on the topic of Structural engineering, SMA* is strongly related with Shape-memory alloy. His Structural health monitoring study integrates concerns from other disciplines, such as Algorithm, Modal and Mathematical optimization.

His study in Identification extends to Modal with its themes. His study in Damper is interdisciplinary in nature, drawing from both Earthquake shaking table, Vibration control and Control theory. The Transmission tower study combines topics in areas such as Transmission and Meteorology, Wind engineering.

He most often published in these fields:

  • Structural engineering (67.11%)
  • Structural health monitoring (15.98%)
  • Damper (13.16%)

What were the highlights of his more recent work (between 2018-2021)?

  • Structural engineering (67.11%)
  • Transmission tower (14.66%)
  • Identification (6.02%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Structural engineering, Transmission tower, Identification, Fragility and Bridge. As a member of one scientific family, Hong-Nan Li mostly works in the field of Structural engineering, focusing on Frame and, on occasion, Damper. His studies in Transmission tower integrate themes in fields like Typhoon, Meteorology and Transmission.

His biological study deals with issues like Modal, which deal with fields such as Bridge. Hong-Nan Li focuses mostly in the field of Bridge, narrowing it down to matters related to Influence line and, in some cases, Hilbert–Huang transform. His Tower research incorporates elements of Position and Nonlinear system.

Between 2018 and 2021, his most popular works were:

  • Clustering Number Determination for Sparse Component Analysis during Output-Only Modal Identification (25 citations)
  • Full-scale test and its numerical simulation of a transmission tower under extreme wind loads (13 citations)
  • Full-scale test and its numerical simulation of a transmission tower under extreme wind loads (13 citations)

In his most recent research, the most cited papers focused on:

  • Structural engineering
  • Composite material
  • Mechanical engineering

Hong-Nan Li spends much of his time researching Structural engineering, Fragility, Transmission tower, Environmental science and Identification. His biological study spans a wide range of topics, including Hydrogeology and Corrosion. His Transmission tower research is multidisciplinary, incorporating perspectives in Uncertainty analysis, Transmission and Transmission line.

His Identification research includes elements of Bridge, Modal, Control engineering and Influence line. Component analysis, Pattern recognition, Blind signal separation and Vibration is closely connected to Cluster analysis in his research, which is encompassed under the umbrella topic of Modal. His studies deal with areas such as Automatic learning, Real-time computing, Firefly algorithm and Structural monitoring as well as Structural health monitoring.

Best Publications

  • Recent applications of fiber optic sensors to health monitoring in civil engineering

    Hong-Nan Li;Dong-Sheng Li;Gang-Bing Song;Gang-Bing Song

  • Optimal sensor placement for structural health monitoring based on multiple optimization strategies

    Ting-Hua Yi;Ting-Hua Yi;Hong-Nan Li;Ming Gu

  • Experimental assessment of high-rate GPS receivers for deformation monitoring of bridge

    Ting-Hua Yi;Ting-Hua Yi;Hong-Nan Li;Ming Gu

  • Recent research and applications of GPS-based monitoring technology for high-rise structures

    Ting-Hua Yi;Ting-Hua Yi;Hong-Nan Li;Ming Gu

  • Pipeline corrosion and leakage monitoring based on the distributed optical fiber sensing technology

    Liang Ren;Tao Jiang;Zi-guang Jia;Dong-sheng Li

  • State-of-the-art in structural health monitoring of large and complex civil infrastructures

    Hong-Nan Li;Liang Ren;Zi-Guang Jia;Ting-Hua Yi

  • A review of damage detection methods for wind turbine blades

    Dongsheng Li;Siu-Chun M Ho;Gangbing Song;Gangbing Song;Liang Ren

  • Methodology Developments in Sensor Placement for Health Monitoring of Civil Infrastructures

    Ting-Hua Yi;Hong-Nan Li

  • Development of sensor validation methodologies for structural health monitoring: A comprehensive review

    Ting-Hua Yi;Hai-Bin Huang;Hong-Nan Li;Hong-Nan Li

  • Experimental study of dynamic compressive properties of fibre reinforced concrete material with different fibres

    Z Xu;Z Xu;Hong Hao;H.N Li

  • Seismic fragility analyses of sea-crossing cable-stayed bridges subjected to multi-support ground motions on offshore sites

    Chao Li;Hong-Nan Li;Hong-Nan Li;Hong Hao;Hong Hao;Kaiming Bi

  • Seismic Control of Power Transmission Tower Using Pounding TMD

    Peng Zhang;Gangbing Song;Hong-Nan Li;You-Xin Lin

  • A modified monkey algorithm for optimal sensor placement in structural health monitoring

    Ting-Hua Yi;Hong-Nan Li;Xu-Dong Zhang

  • Design and experimental study on FBG hoop-strain sensor in pipeline monitoring

    Liang Ren;Zi-guang Jia;Zi-guang Jia;Hong-nan Li;Gangbing Song

  • Experimental investigations of building structure with a superelastic shape memory alloy friction damper subject to seismic loads

    Hui Qian;Hongnan Li;Hongnan Li;Gangbing Song;Gangbing Song

  • A new method for optimal selection of sensor location on a high-rise building using simplified finite element model

    Ting-Hua Yi;Hong-Nan Li;Ming Gu

  • Optimal Sensor Placement for Health Monitoring of High-Rise Structure Based on Genetic Algorithm

    Ting-Hua Yi;Ting-Hua Yi;Hong-Nan Li;Ming Gu

  • Optimization of non-uniformly distributed multiple tuned mass damper

    Unknown

  • Noise Smoothing for Structural Vibration Test Signals Using an Improved Wavelet Thresholding Technique

    Ting-Hua Yi;Hong-Nan Li;Xiao-Yan Zhao

  • Reviews on innovations and applications in structural health monitoring for infrastructures

    Hong-Nan Li;Ting-Hua Yi;Liang Ren;Dong-Sheng Li

  • Wavelet based multi-step filtering method for bridge healthmonitoring using GPS and accelerometer

    Ting-Hua Yi;Hong-Nan Li;Ming Gu

  • Evaluation of earthquake-induced structural damages by wavelet transform

    Hongnan Li;Tinghua Yi;Tinghua Yi;Ming Gu;Linsheng Huo

  • Clustering Number Determination for Sparse Component Analysis during Output-Only Modal Identification

    Ting-Hua Yi;Xiao-Jun Yao;Chun-Xu Qu;Hong-Nan Li

  • Sensor placement on Canton Tower for health monitoring using asynchronous-climb monkey algorithm

    Ting-Hua Yi;Hong-Nan Li;Xu-Dong Zhang

  • Experimental study of structure with dual function metallic dampers

    Hong-Nan Li;Gang Li

Frequent Co-Authors

Ting-Hua Yi
Ting-Hua Yi Dalian University of Technology
Gangbing Song
Gangbing Song University of Houston
Linsheng Huo
Linsheng Huo Dalian University of Technology
Hong Hao
Hong Hao Curtin University
Kaiming Bi
Kaiming Bi Hong Kong Polytechnic University
Yeong-Bin Yang
Yeong-Bin Yang Chongqing University
Satish Nagarajaiah
Satish Nagarajaiah Rice University
Yi-Lung Mo
Yi-Lung Mo University of Houston
Chunwei Zhang
Chunwei Zhang Shenyang University of Technology
Jeong-Tae Kim
Jeong-Tae Kim Pukyong National University

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