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Jia Wen Chong
Jia Wen Chong
Verified email at nottingham.edu.my
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Cited by
Year
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
192020
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
172020
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
152022
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
112022
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
102023
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
92022
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
92022
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
82022
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, 1-15, 2023
72023
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
52022
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
42023
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
42021
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
22023
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
12022
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
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
2023
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
Design and simulation of distillation processes
N Chemmangattuvalappil, JW Chong
Chemical Engineering Process Simulation, 125-138, 2023
2023
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Articles 1–19