| Influence of turbulence on bed load sediment transport BM Sumer, LHC Chua, NS Cheng, J Fredsøe Journal of Hydraulic Engineering 129 (8), 585-596, 2003 | 315 | 2003 |
| 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 | 162 | 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 | 154 | 2010 |
| Treatment of baseflow from an urban catchment by a floating wetland system LHC Chua, SBK Tan, CH Sim, MK Goyal Ecological Engineering 49, 170-180, 2012 | 101 | 2012 |
| 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 | 88 | 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 | 83 | 2013 |
| Predicting time-dependent pier scour depth with support vector regression JH Hong, MK Goyal, YM Chiew, LHC Chua Journal of Hydrology 468, 241-248, 2012 | 74 | 2012 |
| Performances of rainfall-runoff models calibrated over single and continuous storm flow events SB Tan, LH Chua, EB Shuy, EYM Lo, LW Lim Journal of Hydrologic Engineering 13 (7), 597-607, 2008 | 74 | 2008 |
| Modelling hourly and daily open‐water evaporation rates in areas with an equatorial climate SBK Tan, EB Shuy, LHC Chua Hydrological Processes: An International Journal 21 (4), 486-499, 2007 | 69 | 2007 |
| A fully-online Neuro-Fuzzy model for flow forecasting in basins with limited data M Ashrafi, LHC Chua, C Quek, X Qin Journal of Hydrology 545, 424-435, 2017 | 68 | 2017 |
| Optimal sensor placement and measurement of wind for water quality studies in urban reservoirs W Du, Z Xing, M Li, B He, LHC Chua, H Miao IPSN-14 Proceedings of the 13th International Symposium on Information …, 2014 | 66 | 2014 |
| Distribution and abundance of human‐specific Bacteroides and relation to traditional indicators in an urban tropical catchment JP Nshimyimana, E Ekklesia, P Shanahan, LHC Chua, JR Thompson Journal of applied microbiology 116 (5), 1369-1383, 2014 | 63 | 2014 |
| Evaluation of pollutant removal efficiency of a bioretention basin and implications for stormwater management in tropical cities J Wang, LHC Chua, P Shanahan Environmental Science: Water Research & Technology 3 (1), 78-91, 2017 | 61 | 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 | 60 | 2014 |
| The four national taps of Singapore: A holistic approach to water resources management from drainage to drinking water K Irvine, L Chua, HS Eikass Deakin University, 2014 | 59 | 2014 |
| Comparison between kinematic wave and artificial neural network models in event-based runoff simulation for an overland plane LHC Chua, TSW Wong, LK Sriramula Journal of hydrology 357 (3-4), 337-348, 2008 | 57 | 2008 |
| Effect of externally generated turbulence on wave boundary layer J Fredsøe, BM Sumer, A Kozakiewicz, LHC Chua, R Deigaard Coastal Engineering 49 (3), 155-183, 2003 | 57 | 2003 |
| Runoff forecasting for an asphalt plane by Artificial Neural Networks and comparisons with kinematic wave and autoregressive moving average models LHC Chua, TSW Wong Journal of Hydrology 397 (3-4), 191-201, 2011 | 56 | 2011 |
| Application of ensemble empirical mode decomposition based on machine learning methodologies in forecasting monthly pan evaporation M Rezaie-Balf, O Kisi, LHC Chua Hydrology Research 50 (2), 498-516, 2019 | 53 | 2019 |
| Improving event-based rainfall–runoff modeling using a combined artificial neural network–kinematic wave approach LHC Chua, TSW Wong Journal of Hydrology 390 (1-2), 92-107, 2010 | 49 | 2010 |
