| Design of fragrant molecules through the incorporation of rough sets into computer-aided molecular design KT Radhakrishnapany, CY Wong, FK Tan, JW Chong, RR Tan, KB Aviso, ... Molecular Systems Design & Engineering 5 (8), 1391-1416, 2020 | 19 | 2020 |
| A review of process systems engineering (PSE) tools for the design of ionic liquids and integrated biorefineries NG Chemmangattuvalappil, DKS Ng, LY Ng, J Ooi, JW Chong, MR Eden Processes 8 (12), 1678, 2020 | 18 | 2020 |
| Design of fragrance molecules using computer-aided molecular design with machine learning YJ Ooi, KNG Aung, JW Chong, RR Tan, KB Aviso, ... Computers & Chemical Engineering 157, 107585, 2022 | 16 | 2022 |
| Aviation biofuels: conversion routes and challenges JW Chong, NG Chemmangattuvalappil, S Thangalazhy-Gopakumar Sustainable Technologies for the Oil Palm Industry: Latest Advances and Case …, 2022 | 12 | 2022 |
| Development of predictive model for biochar surface properties based on biomass attributes and pyrolysis conditions using rough set machine learning JC Ang, JY Tang, BYH Chung, JW Chong, RR Tan, KB Aviso, ... Biomass and Bioenergy 174, 106820, 2023 | 11 | 2023 |
| Design of bio-oil additives via molecular signature descriptors using a multi-stage computer-aided molecular design framework JW Chong, S Thangalazhy-Gopakumar, K Muthoosamy, ... Frontiers of Chemical Science and Engineering 16 (2), 168-182, 2022 | 11 | 2022 |
| Estimation of fast pyrolysis bio‐oil properties from feedstock characteristics using rough‐set‐based machine learning JW Chong, S Thangalazhy‐Gopakumar, RR Tan, KB Aviso, ... International Journal of Energy Research 46 (13), 19159-19176, 2022 | 10 | 2022 |
| Design of mosquito repellent molecules via the integration of hyperbox machine learning and computer aided molecular design M Hatamleh, JW Chong, RR Tan, KB Aviso, JIB Janairo, ... Digital Chemical Engineering 3, 100018, 2022 | 9 | 2022 |
| Prediction model for biochar energy potential based on biomass properties and pyrolysis conditions derived from rough set machine learning JY Tang, BYH Chung, JC Ang, JW Chong, RR Tan, KB Aviso, ... Environmental Technology 45 (15), 2908-2922, 2024 | 8 | 2024 |
| Design of polymeric membranes for air separation by combining machine learning tools with computer aided molecular design JY Cheun, JYL Liew, QY Tan, JW Chong, J Ooi, ... Processes 11 (7), 2004, 2023 | 5 | 2023 |
| Incorporating Machine Learning in Computer-Aided Molecular Design for Fragrance Molecules YP Heng, HY Lee, JW Chong, RR Tan, KB Aviso, ... Processes 10 (9), 1767, 2022 | 5 | 2022 |
| Computer-aided framework for the design of optimal bio-oil/solvent blend with economic considerations JW Chong, LY Ng, OA Aboagwa, S Thangalazhy-Gopakumar, ... Processes 9 (12), 2159, 2021 | 4 | 2021 |
| Rough set approach to predict biochar stability and pH from pyrolysis conditions and feedstock characteristics BYH Chung, JC Ang, JY Tang, JW Chong, RR Tan, KB Aviso, ... Chemical Engineering Research and Design 198, 221-233, 2023 | 2 | 2023 |
| A Fragrance Prediction Model for Molecules Using Rough Set‐based Machine Learning ST Tiew, YE Chew, HY Lee, JW Chong, RR Tan, KB Aviso, ... Chemie Ingenieur Technik 95 (3), 438-446, 2023 | 2 | 2023 |
| Design and simulation of distillation processes N Chemmangattuvalappil, JW Chong Chemical Engineering Process Simulation, 125-138, 2023 | 1 | 2023 |
| Design of bio-oil solvents using multi-stage computer-aided molecular design tools JW Chong, S Thangalazhy-Gopakumar, K Muthoosamy, ... Computer Aided Chemical Engineering 49, 199-204, 2022 | 1 | 2022 |
| Design of formulated fragrant products using rough set machine learning and molecular design tools YE Chew, HY Lee, YP Heng, ST Tiew, JW Chong, ... Chemical Engineering Research and Design 203, 305-320, 2024 | | 2024 |
| An Interpretable Predictive Model for Health Aspects of Solvents via Rough Set Theory WY Hoo, J Ooi, NG Chemmangattuvalappil, JW Chong, CH Lim, MR Eden Processes 11 (8), 2293, 2023 | | 2023 |
| Computational and experimental studies on the reaction mechanism of bio-oil components with additives for increased stability and fuel quality JW Chong University of Nottingham, 2023 | | 2023 |
