D-Index & Metrics Best Publications

Anthony T. C. Goh

Nanyang Technological University
Singapore

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Engineering and Technology D-index 43 Citations 7,527 125 World Ranking 2964 National Ranking 41

Overview

What is he best known for?

The fields of study Anthony T. C. Goh is best known for:

Regression analysis
Statistics
Multivariate adaptive regression splines

As a part of the same scientific family, Anthony T. C. Goh mostly works in the field of Excavation, focusing on Geotechnical engineering and, on occasion, Factor of safety, Rock mass classification and Safety factor. Factor of safety and Limit state design are two areas of study in which Anthony T. C. Goh engages in interdisciplinary work. Anthony T. C. Goh integrates Limit state design with Serviceability (structure) in his research. While working on this project, Anthony T. C. Goh studies both Rock mass classification and Geotechnical engineering. Safety factor is closely attributed to Structural engineering in his study. His Structural engineering study frequently draws connections between adjacent fields such as Serviceability (structure). In most of his Artificial intelligence studies, his work intersects topics such as Dependency (UML) and Artificial neural network. As part of his studies on Dependency (UML), Anthony T. C. Goh frequently links adjacent subjects like Artificial intelligence. In his research, he undertakes multidisciplinary study on Artificial neural network and Regression analysis.

His most cited work include:

Multivariate adaptive regression splines for analysis of geotechnical engineering systems (243 citations)
Determination of earth pressure balance tunnel-related maximum surface settlement: a multivariate adaptive regression splines approach (118 citations)
Reliability assessment on ultimate and serviceability limit states and determination of critical factor of safety for underground rock caverns (105 citations)

What are the main themes of his work throughout his whole career to date

Anthony T. C. Goh integrates Geotechnical engineering and Rock mass classification in his research. His Structural engineering study frequently draws parallels with other fields, such as Finite element method. His Structural engineering research extends to the thematically linked field of Finite element method. In his works, he undertakes multidisciplinary study on Regression analysis and Nonparametric regression. In his works, Anthony T. C. Goh undertakes multidisciplinary study on Nonparametric regression and Multivariate adaptive regression splines. His Quantum mechanics study often links to related topics such as Reliability (semiconductor). His study connects Power (physics) and Reliability (semiconductor). His Quantum mechanics research extends to the thematically linked field of Power (physics). His work in Algorithm is not limited to one particular discipline; it also encompasses Residual.

Anthony T. C. Goh most often published in these fields:

Geotechnical engineering (91.30%)
Structural engineering (60.87%)
Excavation (39.13%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Back-propagation neural networks for modeling complex systems

A.T.C. Goh.
Artificial Intelligence in Engineering (1995)

1003 Citations

Seismic liquefaction potential assessed by neural networks

Anthony T. C. Goh.
Journal of Geotechnical Engineering (1994)

465 Citations

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

Wengang Zhang;Anthony Teck Chee Goh.
Geoscience frontiers (2016)

375 Citations

Multivariate adaptive regression splines for analysis of geotechnical engineering systems

Wengang Zhang;Anthony Teck Chee Goh.
Computers and Geotechnics (2013)

323 Citations

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

Wengang Zhang;Runhong Zhang;Chongzhi Wu;Anthony Teck Chee Goh.
Geoscience frontiers (2020)

268 Citations

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

Anthony T.C. Goh;S.H. Goh.
Computers and Geotechnics (2007)

247 Citations

Probabilistic neural network for evaluating seismic liquefaction potential

Anthony T. C. Goh.
Canadian Geotechnical Journal (2002)

239 Citations

Neural-Network Modeling of CPT Seismic Liquefaction Data

Anthony T. C. Goh.
Journal of Geotechnical Engineering (1996)

186 Citations

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

Anthony T.C. Goh.
Canadian Geotechnical Journal (1999)

181 Citations

Bayesian Neural Network Analysis of Undrained Side Resistance of Drilled Shafts

Anthony T. C. Goh;Fred H. Kulhawy;C. G. Chua.
Journal of Geotechnical and Geoenvironmental Engineering (2005)

178 Citations

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Frequent Co-Authors

External Links

Personal Website for Anthony T. C. Goh