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Environmental Sciences
Malaysia
2026

D-Index & Metrics

Environmental Sciences

D-Index
49
Citations
8918
World Ranking
5244
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Environmental Sciences in Malaysia Leader Award
  • 2025 - Research.com Environmental Sciences in Malaysia Leader Award

Overview

Baharin Bin Ahmad is affiliated with the University of Technology Malaysia in Malaysia. Their research primarily focuses on environmental science, with particular emphasis on flood risk assessment and management, landslides and related hazards, and groundwater and watershed analysis.

The main fields of study that Baharin Bin Ahmad engages with include environmental science and its various subfields such as global and planetary change, management, monitoring, policy and law, environmental engineering, water science and technology, and atmospheric science.

Key topics covered in their work are diverse and include:

  • Flood Risk Assessment and Management
  • Landslides and related hazards
  • Groundwater and Watershed Analysis
  • Hydrology and Watershed Management Studies
  • Tree Root and Stability Studies
  • Cryospheric studies and observations
  • Soil erosion and sediment transport

Baharin Bin Ahmad's publication record shows a focus on applying machine learning techniques and remote sensing data to environmental hazards and water resource management. Selected recent publications include:

  • "Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier" (2020) in Remote Sensing
  • "Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms" (2020) in International Journal of Environmental Research and Public Health
  • "Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment" (2020) in International Journal of Environmental Research and Public Health
  • "Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran" (2020) in Forests
  • "Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping" (2020) in Journal of Hydrology

Frequent publication venues for Baharin Bin Ahmad include:

  • International Journal of Environmental Research and Public Health
  • Remote Sensing
  • Forests
  • IOP Conference Series Earth and Environmental Science
  • IOP Conference Series Materials Science and Engineering

Collaborations are an important aspect of their work, with frequent co-authors including:

  • Himan Shahabi
  • Ataollah Shirzadi
  • Wei Chen
  • Nadhir Al-Ansari
  • Viet-Ha Nhu

Best Publications

  • Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

    Haoyuan Hong;Haoyuan Hong;Junzhi Liu;Junzhi Liu;Dieu Tien Bui;Biswajeet Pradhan;Biswajeet Pradhan

  • Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods.

    Wei Chen;Yang Li;Weifeng Xue;Himan Shahabi

  • Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier

    Himan Shahabi;Ataollah Shirzadi;Kayvan Ghaderi;Ebrahim Omidvar

  • Landslide susceptibility mapping at central Zab basin, Iran: a comparison between analytical hierarchy process, frequency ratio and logistic regression models

    Himan Shahabi;Saeed Khezri;Baharin Bin Ahmad;Mazlan Hashim

  • GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models

    Wei Chen;Hui Li;Enke Hou;Shengquan Wang

  • Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles

    Wei Chen;Wei Chen;Haoyuan Hong;Haoyuan Hong;Shaojun Li;Himan Shahabi

  • Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

    Viet-Ha Nhu;Ataollah Shirzadi;Himan Shahabi;Sushant K. Singh

  • Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility

    Wei Chen;Mahdi Panahi;Paraskevas Tsangaratos;Himan Shahabi

  • A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China

    Wei Chen;Ataollah Shirzadi;Himan Shahabi;Baharin Bin Ahmad

  • Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms

    Qingfeng He;Himan Shahabi;Ataollah Shirzadi;Shaojun Li

  • New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

    Dieu Tien Bui;Khabat Khosravi;Shaojun Li;Himan Shahabi

  • Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods.

    Omid Rahmati;Bahram Choubin;Abolhasan Fathabadi;Frederic Coulon

  • Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models

    Ali Azareh;Omid Rahmati;Elham Rafiei-Sardooi;Joel B. Sankey

  • Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping.

    Ataollah Shirzadi;Karim Soliamani;Mahmood Habibnejhad;Ataollah Kavian

  • Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms

    Binh Thai Pham;Ataollah Shirzadi;Himan Shahabi;Ebrahim Omidvar

  • Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods

    Dieu Tien Bui;Mahdi Panahi;Himan Shahabi;Vijay P. Singh

  • Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran

    Himan Shahabi;Mazlan Hashim;Baharin Bin Ahmad

  • Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression

    Wei Chen;Himan Shahabi;Shuai Zhang;Khabat Khosravi

  • Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms.

    Dieu Tien Bui;Himan Shahabi;Ataollah Shirzadi;Kamran Chapi

  • Spatial prediction of landslide susceptibility using GIS-based data mining techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

    Wei Chen;Haoyuan Hong;Mahdi Panahi;Himan Shahabi

  • Landslide detection and susceptibility mapping by airsar data using support vector machine and index of entropy models in Cameron Highlands, Malaysia

    Dieu Tien Bui;Himan Shahabi;Ataollah Shirzadi;Kamran Chapi

  • Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran

    Mohsen Alizadeh;Esmaeil Alizadeh;Sara Asadollahpour Kotenaee;Himan Shahabi

  • Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution

    Ataollah Shirzadi;Karim Solaimani;Mahmood Habibnejad Roshan;Ataollah Kavian

  • Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree

    Wei Chen;Xia Zhao;Himan Shahabi;Ataollah Shirzadi

Frequent Co-Authors

Himan Shahabi
Himan Shahabi University of Kurdistan
Ataollah Shirzadi
Ataollah Shirzadi University of Kurdistan
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Haoyuan Hong
Haoyuan Hong Nanjing University of Information Science and Technology
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
John J. Clague
John J. Clague Simon Fraser University
Nadhir Al-Ansari
Nadhir Al-Ansari Luleå University of Technology
Saro Lee
Saro Lee Korea Institute of Geoscience and Mineral Resources
Marten Geertsema
Marten Geertsema University of Northern British Columbia
Omid Rahmati
Omid Rahmati Agricultural Research Education And Extention Organization

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