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Siu-Kui Au

D-Index & Metrics

Engineering and Technology

D-Index
61
Citations
16744
World Ranking
2009
National Ranking
30

Siu-Kui Au 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 Siu-Kui Au 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: 443 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Siu-Kui Au 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 Siu-Kui Au 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: 61 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Siu-Kui Au is affiliated with Nanyang Technological University in Singapore. Their research spans multiple disciplines, focusing on engineering and applied sciences.

The scientist's recent publications include:

  • Understanding and managing identification uncertainty of close modes in operational modal analysis, 2020, Mechanical Systems and Signal Processing
  • Bayesian operational modal analysis with multiple setups and multiple (possibly close) modes, 2020, Mechanical Systems and Signal Processing
  • Bayesian updating of model parameters using adaptive Gaussian process regression and particle filter, 2023, Structural Safety
  • Uncertainty quantification in Bayesian operational modal analysis with multiple modes and multiple setups, 2021, Mechanical Systems and Signal Processing
  • Two-stage Bayesian system identification using Gaussian discrepancy model, 2020, Structural Health Monitoring

Frequent co-authors collaborating with Siu-Kui Au include:

  • Binbin Li
  • James Brownjohn
  • Feng-Liang Zhang
  • Yan-Chun Ni
  • Alison Raby

The scientist's work is often published in the following venues:

  • Harvard Dataverse
  • Mechanical Systems and Signal Processing
  • Reliability Engineering & System Safety
  • Structural Health Monitoring
  • Journal of Civil Structural Health Monitoring

Key subfields of study covered by Siu-Kui Au's research include:

  • Civil and Structural Engineering
  • Control and Systems Engineering
  • Mechanical Engineering
  • Statistics, Probability and Uncertainty
  • Geology

Main topics addressed in their research encompass:

  • Fault Detection and Control Systems
  • Structural Health Monitoring Techniques
  • Infrastructure Maintenance and Monitoring
  • Structural Engineering and Vibration Analysis
  • Railway Engineering and Dynamics
  • Probabilistic and Robust Engineering Design
  • 3D Surveying and Cultural Heritage

Best Publications

  • Estimation of Small Failure Probabilities in High Dimensions by Subset Simulation

    Siu-Kui Au;James L. Beck

  • Bayesian Updating of Structural Models and Reliability using Markov Chain Monte Carlo Simulation

    James L. Beck;Siu-Kui Au

  • A new adaptive importance sampling scheme for reliability calculations

    S.K. Au;J.L. Beck

  • Bayesian Probabilistic Approach to Structural Health Monitoring

    M. W. Vanik;M. W. Vanik;J. L. Beck;J. L. Beck;S. K. Au;S. K. Au

  • SUBSET SIMULATION AND ITS APPLICATION TO SEISMIC RISK BASED ON DYNAMIC ANALYSIS

    S. K. Au;J. L. Beck

  • Entropy-Based Optimal Sensor Location for Structural Model Updating

    Costas Papadimitriou;James L. Beck;Siu-Kui Au

  • Important sampling in high dimensions

    S.K. Au;J.L. Beck

  • Reliability-based design sensitivity by efficient simulation

    S. K. Au

  • Engineering Risk Assessment with Subset Simulation

    Siu-Kui Au;Yu Wang

  • First excursion probabilities for linear systems by very efficient importance sampling

    S.K. Au;J.L. Beck

  • Application of subset simulation methods to reliability benchmark problems

    S.K. Au;J. Ching;J.L. Beck

  • Practical reliability analysis of slope stability by advanced Monte Carlo simulations in a spreadsheet

    Unknown

  • Fast Bayesian FFT Method for Ambient Modal Identification with Separated Modes

    Siu-Kui Au

  • Bayesian post-processor and other enhancements of Subset Simulation for estimating failure probabilities in high dimensions

    Konstantin M. Zuev;James L. Beck;Siu-Kui Au;Lambros S. Katafygiotis

  • Encyclopedia of Earthquake Engineering

    Unknown

  • Bayesian operational modal analysis: Theory, computation, practice

    Siu-Kui Au;Feng-Liang Zhang;Yan-Chun Ni

  • Efficient Monte Carlo Simulation of parameter sensitivity in probabilistic slope stability analysis

    Yu Wang;Zijun Cao;Siu Kui Au

  • Fast Bayesian ambient modal identification in the frequency domain, Part I: Posterior most probable value

    Siu-Kui Au

  • Bayesian approach for probabilistic characterization of sand friction angles

    Yu Wang;Siu Kui Au;Zijun Cao

  • Fast Bayesian ambient modal identification in the frequency domain, Part II: Posterior uncertainty

    Siu-Kui Au

  • Reliability Estimation for Dynamical Systems Subject to Stochastic Excitation using Subset Simulation with Splitting

    Jianye Ching;Siu-Kui Au;James L. Beck

  • MONITORING STRUCTURAL HEALTH USING A PROBABILISTIC MEASURE

    James L. Beck;Siu-Kui Au;Michael W. Vanik

Frequent Co-Authors

James L. Beck
James L. Beck California Institute of Technology
Heung-Fai Lam
Heung-Fai Lam City University of Hong Kong
Zi-Jun Cao
Zi-Jun Cao Southwest Jiaotong University
James M. W. Brownjohn
James M. W. Brownjohn University of Exeter
Costas Papadimitriou
Costas Papadimitriou University Of Thessaly
Ching-Tai Ng
Ching-Tai Ng University of Adelaide
Ka-Veng Yuen
Ka-Veng Yuen University of Macau
Dian-Qing Li
Dian-Qing Li Wuhan University
Malcolm D. Bolton
Malcolm D. Bolton University of Cambridge
Kenichi Soga
Kenichi Soga University of California, Berkeley

External Links

Personal website of Siu-Kui Au Google Scholar page

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