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The Science of the Total Environment|December 14, 2020
Evaluating the impact of mobility on COVID-19 pandemic with machine learning hybrid predictionsCheng-Pin Kuo, Joshua S FuEnvironment International|May 18, 2023
Ozone response modeling to NOx and VOC emissions: Examining machine learning modelsCheng-Pin Kuo, Joshua S FuFrontiers in Public Health|March 27, 2025
Perspective improvement of regional air pollution burden of disease estimation by machine intelligenceCheng-Pin Kuo, Joshua S Fu, Yang LiuIscience|November 8, 2021
How limitations in energy access, poverty, and socioeconomic disparities compromise health interventions for outbreaks in urban settingsNina Fefferman, Chien-Fei Chen, Gregory Bonilla, et al.The Science of the Total Environment|December 18, 2013
Source apportionment of particulate matter and selected volatile organic compounds with multiple time resolution dataCheng-Pin Kuo, Ho-Tang Liao, Charles C-K Chou, et al.Iscience|April 11, 2022
Localized energy burden, concentrated disadvantage, and the feminization of energy povertyChien-Fei Chen, Jimmy Feng, Nikki Luke, et al.Plos One|August 22, 2020
Transient risk of ambient fine particulate matter on hourly cardiovascular events in Tainan City, TaiwanPei-Chih Wu, Tain-Junn Cheng, Cheng-Pin Kuo, et al.Environmental Pollution (Barking, Essex : 1987)|August 18, 2019
Source Apportionment of Volatile Organic Compounds (VOCs) by Positive Matrix Factorization (PMF) supported by Model Simulation and Source Markers - Using Petrochemical Emissions as a ShowcaseYuan-Chang Su, Wei-Hao Chen, Chen-Lun Fan, et al.Environmental Pollution (Barking, Essex : 1987)|May 8, 2021
Quantifying spatial heterogeneity of vulnerability to short-term PM2.5 exposure with data fusion frameworkCheng-Pin Kuo, Joshua S Fu, Pei-Chih Wu, et al.Pageof 1