World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
5580
World Ranking
6318
National Ranking
1190

Heung-Fai Lam 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 Heung-Fai Lam 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: 167 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Heung-Fai Lam 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 Heung-Fai Lam 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: 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.

Overview

Heung-Fai Lam is affiliated with City University of Hong Kong in China, focusing on research within the field of engineering, particularly civil and structural engineering. Their work spans several subfields including aerospace engineering, mechanical engineering, environmental engineering, and control and systems engineering.

The main topics covered in their research include:

  • Structural Health Monitoring Techniques
  • Infrastructure Maintenance and Monitoring
  • Wind and Air Flow Studies
  • Wind Energy Research and Development
  • Probabilistic and Robust Engineering Design
  • Railway Engineering and Dynamics
  • Concrete Corrosion and Durability

Heung-Fai Lam has contributed to multiple scholarly papers. Recent publications include:

  • "Practical model updating of the Ting Kau Bridge through the MCMC-based Bayesian algorithm utilizing measured modal parameters," 2022, Engineering Structures
  • "A Bayesian methodology for detection of railway ballast damage using the modified Ludwik nonlinear model," 2021, Engineering Structures
  • "Development of a two-phase adaptive MCMC method for efficient Bayesian model updating of complex dynamic systems," 2022, Engineering Structures
  • "Impact of corner modification on wind characteristics and wind energy potential over flat roofs of tall buildings," 2021, Energy
  • "Comparative study of the performances of a bio-inspired flexible-bladed wind turbine and a rigid-bladed wind turbine in centimeter-scale," 2020, Energy

Their frequent co-authors include:

  • Mujib Olamide Adeagbo
  • H.Y. Peng
  • Yung-Jeh Chu
  • Jia-Hua Yang
  • H.J. Liu

Heung-Fai Lam commonly publishes in the following venues:

  • Engineering Structures
  • Structural Health Monitoring
  • Mechanical Systems and Signal Processing
  • Energy
  • SSRN Electronic Journal

Best Publications

  • Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem Using Simulated Data

    Erik A. Johnson;Heung Fai Lam;Lambros S. Katafygiotis;James L. Beck

  • A BENCHMARK PROBLEM FOR STRUCTURAL HEALTH MONITORING AND DAMAGE DETECTION

    E. A. Johnson;H. F. Lam;L. S. Katafygiotis;J. L. Beck

  • Study of wake characteristics of a vertical axis wind turbine by two- and three-dimensional computational fluid dynamics simulations

    Heung Fai Lam;HY Peng

  • A probabilistic approach to structural model updating

    Lambros S. Katafygiotis;Costas Papadimitriou;Heung Fai Lam

  • Bayesian model updating of a coupled-slab system using field test data utilizing an enhanced Markov chain Monte Carlo simulation algorithm

    Heung-Fai Lam;Jiahua Yang;Siu-Kui Au

  • Application of a Statistical Model Updating Approach on Phase I of the IASC-ASCE Structural Health Monitoring Benchmark Study

    Heung Fai Lam;Lambros S. Katafygiotis;Neil Colin Mickleborough

  • Structural Health Monitoring via Measured Ritz Vectors Utilizing Artificial Neural Networks

    Heung-Fai Lam;Ka-Veng Yuen;James L. Beck

  • Localization of Damaged Structural Connections Based on Experimental Modal and Sensitivity Analysis

    H.F. Lam;J.M. Ko;C.W. Wong

  • On the complexity of artificial neural networks for smart structures monitoring

    Ka-Veng Yuen;Heung-Fai Lam

  • Dynamic reduction-based structural damage detection of transmission tower utilizing ambient vibration data

    T. Yin;H.F. Lam;H.M. Chow;H.P. Zhu

  • The selection of pattern features for structural damage detection using an extended Bayesian ANN algorithm

    Heung Fai Lam;Ching Tai Ng

  • Analysis and design of the general and outmost-ring stiffened suspen-dome structures

    Wenjiang Kang;Zhihua Chen;Heung-Fai Lam;Chenran Zuo

  • Factors affecting the design and construction of Lamella suspen-dome systems

    S. Kitipornchai;Wenjiang Kang;Heung-Fai Lam;F. Albermani

  • Measurements of the wake characteristics of co- and counter-rotating twin H-rotor vertical axis wind turbines

    H.F. Lam;H.Y. Peng

  • Tangential‐projection algorithm for manifold representation in unidentifiable model updating problems

    Lambros S. Katafygiotis;Heung Fai Lam

  • Optimal sensor configuration of a typical transmission tower for the purpose of structural model updating

    H. M. Chow;H. F. Lam;T. Yin;S. K. Au

  • Bayesian operational modal analysis and Markov chain Monte Carlo-based model updating of a factory building

    Heung-Fai Lam;Jun Hu;Jia-Hua Yang

  • A Bayesian Probabilistic Approach for Crack Characterization in Plate Structures

    Tao Yin;Heung-Fai Lam;Heung-Ming Chow

  • Turbulence effects on the wake characteristics and aerodynamic performance of a straight-bladed vertical axis wind turbine by wind tunnel tests and large eddy simulations

    H.Y. Peng;H.F. Lam

  • The Bayesian methodology for the detection of railway ballast damage under a concrete sleeper

    H.F. Lam;Q. Hu;M.T. Wong

Frequent Co-Authors

Ching-Tai Ng
Ching-Tai Ng University of Adelaide
Siu-Kui Au
Siu-Kui Au Nanyang Technological University
Lambros S. Katafygiotis
Lambros S. Katafygiotis Hong Kong University of Science and Technology
James L. Beck
James L. Beck California Institute of Technology
Ka-Veng Yuen
Ka-Veng Yuen University of Macau
Sritawat Kitipornchai
Sritawat Kitipornchai University of Queensland
Hongping Zhu
Hongping Zhu Huazhong University of Science and Technology
Yeong-Bin Yang
Yeong-Bin Yang Chongqing University
Costas Papadimitriou
Costas Papadimitriou University Of Thessaly
Andrew Y. T. Leung
Andrew Y. T. Leung City University of Hong Kong

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Heung-Fai Lam

Trending Scientists

Recently Published Articles