Lea-Tien Tay

About Lea-Tien Tay

Lea-Tien Tay, With an exceptional h-index of 14 and a recent h-index of 9 (since 2020), a distinguished researcher at Universiti Sains Malaysia, specializes in the field of Remote Sensing, Landslide Susceptibility Mapping, GIS, Load Flow algorithms.

His recent articles reflect a diverse array of research interests and contributions to the field:

Landslide susceptibility analysis using random forest model with SMOTE-ENN resampling algorithm

Spatial landslide susceptibility modelling using metaheuristic-based machine learning algorithms

Assessment of Landslide Susceptibility Mapping Using Artificial Bee Colony Algorithm Based on Different Normalizations and Dimension Reduction Techniques

Optimization in Geosciences

Modeling of Landslide Susceptibility Mapping Using State-Of-Art Machine Learning Models

Landslide Hazard Analysis Using a Multilayered Approach Based on Various Input Data Configurations

Comparative landslide spatial research based on various sample sizes and ratios in Penang Island, Malaysia

Landslide Hazard Mapping of Penang Island Malaysia Based on Multilayer Perceptron Approach

Lea-Tien Tay Information

University

Position

School of Electrical and Electronic Engineering

Citations(all)

591

Citations(since 2020)

346

Cited By

345

hIndex(all)

14

hIndex(since 2020)

9

i10Index(all)

18

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Lea-Tien Tay Skills & Research Interests

Remote Sensing

Landslide Susceptibility Mapping

GIS

Load Flow algorithms

Top articles of Lea-Tien Tay

Title

Journal

Author(s)

Publication Date

Landslide susceptibility analysis using random forest model with SMOTE-ENN resampling algorithm

Geomatics, Natural Hazards and Risk

Mingxi Lu

Lea Tien Tay

Junita Mohamad-Saleh

2024/12/31

Spatial landslide susceptibility modelling using metaheuristic-based machine learning algorithms

Engineering with Computers

Ilyas Ahmad Huqqani

Lea Tien Tay

Junita Mohamad-Saleh

2022/7/18

Assessment of Landslide Susceptibility Mapping Using Artificial Bee Colony Algorithm Based on Different Normalizations and Dimension Reduction Techniques

Arabian Journal for Science and Engineering

Ilyas Ahmad Huqqani

Lea Tien Tay

Junita Mohamad-Saleh

2022/6

Optimization in Geosciences

Ilyas Ahmad Huqqani

Lea Tien Tay

2022/12/17

Modeling of Landslide Susceptibility Mapping Using State-Of-Art Machine Learning Models

Ilyas Ahmad Huqqani

Lea Tien Tay

Junita Mohamad-Saleh

2022/10/27

Landslide Hazard Analysis Using a Multilayered Approach Based on Various Input Data Configurations

Geosfera Indonesia

Ilyas Ahmad Huqqani

Tay Lea Tien

Junita Mohamad-Saleh

2021/4/25

Comparative landslide spatial research based on various sample sizes and ratios in Penang Island, Malaysia

Bulletin of Engineering Geology and the Environment

Han Gao

Pei Shan Fam

Lea Tien Tay

Heng Chin Low

2021/2

Landslide Hazard Mapping of Penang Island Malaysia Based on Multilayer Perceptron Approach

Understanding and Reducing Landslide Disaster Risk: Volume 2 From Mapping to Hazard and Risk Zonation 5th

Ilyas A Huqqani

Lea Tien Tay

Junita Mohamad-Saleh

2021

Logistic regression techniques based on different sample sizes in landslide susceptibility assessment: which performs better?

Compusoft

Han Gao

Pei Shan Fam

Lea Tien Tay

Heng Chin Low

2020/4/1

Three oversampling methods applied in a comparative landslide spatial research in Penang Island, Malaysia

SN Applied Sciences

Han Gao

Pei Shan Fam

Lea Tien Tay

Heng Chin Low

2020/9

See List of Professors in Lea-Tien Tay University(Universiti Sains Malaysia)