World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
55
Citations
10546
World Ranking
3026
National Ranking
42

Anthony T. C. Goh 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 Anthony T. C. Goh 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: 137 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Anthony T. C. Goh 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 Anthony T. C. Goh 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: 55 D-Index — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Overview

Anthony T. C. Goh is affiliated with Nanyang Technological University in Singapore. Their research primarily focuses on engineering, with a strong specialization in civil and structural engineering.

Their work spans several subfields, including:

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality
  • Management, Monitoring, Policy and Law
  • Ocean Engineering
  • Artificial Intelligence

In terms of specific topics, they have contributed extensively to the following areas:

  • Geotechnical Engineering and Analysis
  • Geotechnical Engineering and Underground Structures
  • Dam Engineering and Safety
  • Grouting, Rheology, and Soil Mechanics
  • Geotechnical Engineering and Soil Stabilization
  • Tunneling and Rock Mechanics
  • Geotechnical Engineering and Soil Mechanics

Anthony T. C. Goh has published in several academic venues with multiple contributions in some journals. Frequent publication venues include:

  • Geoscience Frontiers
  • Underground Space
  • Acta Geotechnica
  • Intelligent Transportation Infrastructure
  • Computers and Geotechnics

Their recent published papers cover a range of geotechnical topics with associated publication years and venues as follows:

  • Estimation of diaphragm wall deflections for deep braced excavation in anisotropic clays using ensemble learning, 2020, Geoscience Frontiers
  • Assessment of basal heave stability for braced excavations in anisotropic clay using extreme gradient boosting and random forest regression, 2020, Underground Space
  • Application of soft computing techniques for shallow foundation reliability in geotechnical engineering, 2020, Geoscience Frontiers
  • Prediction of lining response for twin tunnels constructed in anisotropic clay using machine learning techniques, 2020, Underground Space
  • Numerical study of the performance of jet grout piles for braced excavations in soft clay, 2020, Computers and Geotechnics

The scientist collaborates frequently with a number of co-authors, including:

  • Wengang Zhang
  • Runhong Zhang
  • Yongqin Li
  • Chongzhi Wu
  • Hanlong Liu

Best Publications

  • Back-propagation neural networks for modeling complex systems

    A.T.C. Goh

  • Seismic liquefaction potential assessed by neural networks

    Anthony T. C. Goh

  • Multivariate adaptive regression splines and neural network models for prediction of pile drivability

    Wengang Zhang;Anthony Teck Chee Goh

  • State-of-the-art review of soft computing applications in underground excavations

    Wengang Zhang;Runhong Zhang;Chongzhi Wu;Anthony Teck Chee Goh

  • Multivariate adaptive regression splines for analysis of geotechnical engineering systems

    Wengang Zhang;Anthony Teck Chee Goh

  • Support vector machines: Their use in geotechnical engineering as illustrated using seismic liquefaction data

    Anthony T.C. Goh;S.H. Goh

  • Probabilistic neural network for evaluating seismic liquefaction potential

    Anthony T. C. Goh

  • Bayesian Neural Network Analysis of Undrained Side Resistance of Drilled Shafts

    Anthony T. C. Goh;Fred H. Kulhawy;C. G. Chua

  • Neural-Network Modeling of CPT Seismic Liquefaction Data

    Anthony T. C. Goh

  • Genetic algorithm search for critical slip surface in multiple-wedge stability analysis

    Anthony T.C. Goh

  • PREDICTION OF PILE CAPACITY USING NEURAL NETWORKS

    C. I. Teh;K. S. Wong;A. T. C. Goh;S. Jaritngam

  • Empirical design in geotechnics using neural networks

    A. T. C. Goh

  • Determination of earth pressure balance tunnel-related maximum surface settlement: a multivariate adaptive regression splines approach

    Anthony Teck Chee Goh;Wengang Zhang;Wengang Zhang;Yanmei Zhang;Yang Xiao

  • A simple prediction model for wall deflection caused by braced excavation in clays

    Wengang Zhang;Anthony T.C. Goh;Feng Xuan

  • Analysis of Piles Subjected to Embankment Induced Lateral Soil Movements

    A. T. C. Goh;C. I. Teh;K. S. Wong

  • Assessment of soil liquefaction based on capacity energy concept and multivariate adaptive regression splines

    Wengang Zhang;Anthony T.C. Goh;Yanmei Zhang;Yumin Chen

  • A Multivariate Adaptive Regression Splines model for determining horizontal wall deflection envelope for braced excavations in clays

    Wengang Zhang;Wengang Zhang;Runhong Zhang;Wei Wang;Fan Zhang

  • Reliability assessment on ultimate and serviceability limit states and determination of critical factor of safety for underground rock caverns

    Wengang Zhang;Anthony Teck Chee Goh

  • Pile Driving Records Reanalyzed Using Neural Networks

    Anthony T. C. Goh

  • Multivariate adaptive regression splines for inverse analysis of soil and wall properties in braced excavation

    Wengang Zhang;Yanmei Zhang;Anthony T.C. Goh

  • Modeling soil correlations using neural networks

    Anthony T. C. Goh

Frequent Co-Authors

Wengang Zhang
Wengang Zhang Chongqing University
Zhiye Zhao
Zhiye Zhao Nanyang Technological University
Joo-Hwa Tay
Joo-Hwa Tay University of Calgary
Fred H. Kulhawy
Fred H. Kulhawy Cornell University
Yang Xiao
Yang Xiao Chongqing University
Hanlong Liu
Hanlong Liu Chongqing University
Kuan-Yeow Show
Kuan-Yeow Show Fudan University
Thomas Böhlke
Thomas Böhlke Karlsruhe Institute of Technology
David Thambiratnam
David Thambiratnam Queensland University of Technology
Jianye Ching
Jianye Ching National Taiwan University

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