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Earth Science
Singapore
2026
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Engineering and Technology
Singapore
2026

D-Index & Metrics

Engineering and Technology

D-Index
82
Citations
27081
World Ranking
460
National Ranking
7

Kok-Kwang Phoon 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 Kok-Kwang Phoon 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: 452 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.

Kok-Kwang Phoon 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 Kok-Kwang Phoon 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: 82 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Earth Science in Singapore Leader Award
  • 2026 - Research.com Engineering and Technology in Singapore Leader Award
  • 2025 - Research.com Earth Science in Singapore Leader Award
  • 2025 - Research.com Engineering and Technology in Singapore Leader Award
  • 2022 - Research.com Engineering and Technology in Singapore Leader Award

Overview

Kok-Kwang Phoon is affiliated with the Singapore University of Technology and Design in Singapore. Their research primarily focuses on engineering, with a strong emphasis on civil and structural engineering as well as safety, risk, reliability, and quality within the engineering domain.

Their work extensively covers topics related to geotechnical engineering and analysis, geotechnical engineering and underground structures, landslides and related hazards, soil and unsaturated flow, geotechnical engineering and soil mechanics, geophysical methods and applications, and soil geostatistics and mapping.

Kok-Kwang Phoon has contributed to various academic publications, with recent notable papers including:

  • Future of machine learning in geotechnics, 2022, Georisk Assessment and Management of Risk for Engineered Systems and Geohazards
  • Challenges in data-driven site characterization, 2021, Georisk Assessment and Management of Risk for Engineered Systems and Geohazards
  • Geotechnical uncertainty, modeling, and decision making, 2022, SOILS AND FOUNDATIONS

In addition to papers authored directly by Phoon, other influential recent works related to the field include:

  • Scale of Fluctuation for Spatially Varying Soils: Estimation Methods and Values, 2020, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering
  • Novel approach to estimate vertical scale of fluctuation based on CPT data using convolutional neural networks, 2021, Engineering Geology

The scientist frequently publishes in several academic venues, including:

  • Georisk Assessment and Management of Risk for Engineered Systems and Geohazards
  • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering
  • Computers and Geotechnics
  • Canadian Geotechnical Journal
  • Geodata and AI.

Kok-Kwang Phoon often collaborates with fellow researchers such as Jianye Ching, Chong Tang, Takayuki Shuku, Yu Wang, and Hongwei Huang.

Best Publications

  • Characterization of geotechnical variability

    Kok-Kwang Phoon;Fred H Kulhawy

  • Evaluation of geotechnical property variability

    Kok-Kwang Phoon;Fred H Kulhawy

  • Convergence study of the truncated Karhunen-Loeve expansion for simulation of stochastic processes

    S. P. Huang;S. T. Quek;K. K. Phoon

  • Foundation Analysis and Design

    Robert L. Parsons;Limin Zhang;Wei Dong Guo;K. K. Phoon

  • Efficient System Reliability Analysis of Slope Stability in Spatially Variable Soils Using Monte Carlo Simulation

    Shui-Hua Jiang;Dian-Qing Li;Zi-Jun Cao;Chuang-Bing Zhou

  • Implementation of Karhunen-Loeve expansion for simulation using a wavelet-Galerkin scheme

    K.K Phoon;S.P Huang;S.T Quek

  • Simulation of second-order processes using Karhunen–Loeve expansion

    K.K. Phoon;S.P. Huang;S.T. Quek

  • Simulation of strongly non-Gaussian processes using Karhunen–Loeve expansion

    K.K. Phoon;H.W. Huang;S.T. Quek

  • Response surface methods for slope reliability analysis: Review and comparison

    Dian-Qing Li;Dong Zheng;Zi-Jun Cao;Xiao-Song Tang

  • Future of machine learning in geotechnics

    Unknown

  • Reliability-Based Design of Foundations for Transmission Line Structures

    Fred H. Kulhawy;Kok Kwang Phoon;Widjojo Adi Prakoso;Anwar Hirany

  • Random field characterisation of stress-normalised cone penetration testing parameters

    M. Uzielli;G. Vannucchi;K. K. Phoon

  • Identification of statistically homogeneous soil layers using modified Bartlett statistics

    Kok-Kwang Phoon;Ser-Tong Quek;Ping An

  • Effect of spatially variable shear strength parameters with linearly increasing mean trend on reliability of infinite slopes

    Dian Qing Li;Xiao Hui Qi;Kok Kwang Phoon;Li Min Zhang

  • Impact of copula selection on geotechnical reliability under incomplete probability information

    Xiao-Song Tang;Dian-Qing Li;Guan Rong;Kok-Kwang Phoon

  • Development of a reliability-based design framework for transmission line structure foundations

    Kok-Kwang Phoon;Fred H. Kulhawy;Mircea D. Grigoriu

  • Effects of soil spatial variability on rainfall-induced landslides

    Anastasia M. Santoso;Kok-Kwang Phoon;Ser-Tong Quek

  • Reliability-Based Design in Geotechnical Engineering: Computations and Applications

    Kok-Kwang Phoon

  • Copula-based approaches for evaluating slope reliability under incomplete probability information

    Xiao-Song Tang;Dian-Qing Li;Chuang-Bing Zhou;Chuang-Bing Zhou;Kok-Kwang Phoon

  • Characterisation and engineering properties of natural soils

    T. S. Tan;K. K. Phoon;D. W. Hight;Serge Leroueil

  • Characterization of Geotechnical Variability

    Kok-Kwang Phoon;Fred H. Kulhawy

Frequent Co-Authors

Jianye Ching
Jianye Ching National Taiwan University
Dian-Qing Li
Dian-Qing Li Wuhan University
Fred H. Kulhawy
Fred H. Kulhawy Cornell University
Zi-Jun Cao
Zi-Jun Cao Southwest Jiaotong University
Kim-Chuan Toh
Kim-Chuan Toh National University of Singapore
Chuangbing Zhou
Chuangbing Zhou Nanchang University
Ser Tong Quek
Ser Tong Quek National University of Singapore
Li Min Zhang
Li Min Zhang Hong Kong University of Science and Technology
Hongwei Huang
Hongwei Huang Tongji University
Fook Hou Lee
Fook Hou Lee National University of Singapore

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