2026 Anthony T. C. Goh: Engineering and Technology Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	55	3024	2896	41	41	137	10546

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Engineering and Technology

3024

2896

137

10546

Engineering and Technology

D-Index

Citations

10546

World Ranking

3024

National Ranking

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

1264
Citations
Seismic liquefaction potential assessed by neural networks

Anthony T. C. Goh

531
Citations
Multivariate adaptive regression splines and neural network models for prediction of pile drivability

Wengang Zhang;Anthony Teck Chee Goh

517
Citations
State-of-the-art review of soft computing applications in underground excavations

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

500
Citations
Multivariate adaptive regression splines for analysis of geotechnical engineering systems

Wengang Zhang;Anthony Teck Chee Goh

417
Citations
Support vector machines: Their use in geotechnical engineering as illustrated using seismic liquefaction data

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

325
Citations
Probabilistic neural network for evaluating seismic liquefaction potential

Anthony T. C. Goh

249
Citations
Bayesian Neural Network Analysis of Undrained Side Resistance of Drilled Shafts

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

215
Citations
Neural-Network Modeling of CPT Seismic Liquefaction Data

Anthony T. C. Goh

208
Citations
Genetic algorithm search for critical slip surface in multiple-wedge stability analysis

Anthony T.C. Goh

195
Citations
PREDICTION OF PILE CAPACITY USING NEURAL NETWORKS

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

179
Citations
Empirical design in geotechnics using neural networks

A. T. C. Goh

178
Citations
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

177
Citations
A simple prediction model for wall deflection caused by braced excavation in clays

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

177
Citations
Analysis of Piles Subjected to Embankment Induced Lateral Soil Movements

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

177
Citations
Assessment of soil liquefaction based on capacity energy concept and multivariate adaptive regression splines

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

160
Citations
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

151
Citations
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

148
Citations
Pile Driving Records Reanalyzed Using Neural Networks

Anthony T. C. Goh

148
Citations
Multivariate adaptive regression splines for inverse analysis of soil and wall properties in braced excavation

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

146
Citations
Modeling soil correlations using neural networks

Anthony T. C. Goh

139
Citations