| A novel application of a neuro-fuzzy computational technique in event-based rainfall–runoff modeling A Talei, LHC Chua, C Quek Expert Systems with Applications 37 (12), 7456-7468, 2010 | 165 | 2010 |
| Evaluation of rainfall and discharge inputs used by Adaptive Network-based Fuzzy Inference Systems (ANFIS) in rainfall–runoff modeling A Talei, LHC Chua, TSW Wong Journal of Hydrology 391 (3-4), 248-262, 2010 | 156 | 2010 |
| Seasonal rainfall forecasting by adaptive network-based fuzzy inference system (ANFIS) using large scale climate signals F Mekanik, MA Imteaz, A Talei Climate dynamics 46, 3097-3111, 2016 | 121 | 2016 |
| Influence of lag time on event-based rainfall–runoff modeling using the data driven approach A Talei, LHC Chua Journal of hydrology 438, 223-233, 2012 | 92 | 2012 |
| Runoff forecasting using a Takagi–Sugeno neuro-fuzzy model with online learning A Talei, LHC Chua, C Quek, PE Jansson Journal of hydrology 488, 17-32, 2013 | 85 | 2013 |
| Choice of rainfall inputs for event-based rainfall-runoff modeling in a catchment with multiple rainfall stations using data-driven techniques TK Chang, A Talei, S Alaghmand, MPL Ooi Journal of Hydrology 545, 100-108, 2017 | 78 | 2017 |
| A review of bioretention components and nutrient removal under different climates—future directions for tropics HW Goh, KS Lem, NA Azizan, CK Chang, A Talei, CS Leow, NA Zakaria Environmental Science and Pollution Research 26, 14904-14919, 2019 | 75 | 2019 |
| Longitudinal assessment of rainwater quality under tropical climatic conditions in enabling effective rainwater harvesting and reuse schemes JYC Leong, MN Chong, PE Poh, A Hermawan, A Talei Journal of Cleaner Production 143, 64-75, 2017 | 63 | 2017 |
| Improved particle swarm optimization–based artificial neural network for rainfall-runoff modeling M Asadnia, LHC Chua, XS Qin, A Talei Journal of Hydrologic Engineering 19 (7), 1320-1329, 2014 | 61 | 2014 |
| Developing engineering students' capabilities through game-based virtual reality technology for building utility inspection HJ Beh, A Rashidi, A Talei, YS Lee Engineering, Construction and Architectural Management 29 (7), 2854-2877, 2021 | 49 | 2021 |
| Quantification of mains water savings from decentralised rainwater, greywater, and hybrid rainwater-greywater systems in tropical climatic conditions JYC Leong, MN Chong, PE Poh, A Vieritz, A Talei, MF Chow Journal of Cleaner Prodcution 176, 946-958, 2018 | 48 | 2018 |
| Halloysite nanotubes as a fine grained material for heavy metal ions removal in tropical biofiltration systems AA Hermawan, JW Chang, P Pasbakhsh, F Hart, A Talei Applied Clay Science, 2018 | 46 | 2018 |
| Rainfall-runoff modelling using a self-reliant fuzzy inference network with flexible structure TK Chang, A Talei, C Quek, VRN Pauwels Journal of hydrology 564, 1179-1193, 2018 | 32 | 2018 |
| Rainfall-runoff modeling using dynamic evolving neural fuzzy inference system with online learning CT Kwin, A Talei, S Alaghmand, LHC Chua Procedia engineering 154, 1103-1109, 2016 | 29 | 2016 |
| Water and salt balance modelling of intermittent catchments using a physically-based integrated model H Daneshmand, S Alaghmand, M Camporese, A Talei, E Daly Journal of Hydrology 568, 1017-1030, 2019 | 25 | 2019 |
| The impact of training data sequence on the performance of neuro-fuzzy rainfall-runoff models with online learning TK Chang, A Talei, LHC Chua, S Alaghmand Water 11 (1), 52, 2018 | 24 | 2018 |
| Seasonal performance of stormwater biofiltration system under tropical conditions AA Hermawan, A Talei, B Salamatinia, LHC Chua Ecological Engineering 143, 105676, 2020 | 23 | 2020 |
| Application of adaptive network-based fuzzy inference system (ANFIS) for river stage prediction in a tropical catchment N Nawaz, S Harun, A Talei Applied Mechanics and Materials 735, 195-199, 2015 | 21 | 2015 |
| Water level forecasting using neuro-fuzzy models with local learning PKT Nguyen, LHC Chua, A Talei, QH Chai Neural Computing and Applications 30, 1877-1887, 2018 | 20 | 2018 |
| Integration of deep learning and extended reality technologies in construction engineering and management: a mixed review method YS Lee, A Rashidi, A Talei, M Arashpour, F Pour Rahimian Construction Innovation 22 (3), 671-701, 2022 | 15 | 2022 |
Lloyd H C ChuaSchool of Engineering, Deakin UniversityVerified email at deakin.edu.au
