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Chin-Yu Hsu
Observed names:
C.‐Y. Hsu,
Chin-yu Hsu,
Hsu, Chin-Yu
Institutions:
Ming Chi University of Technology,
National Cheng Kung University
Observed institutions:
Ming Chi University of Technology,
National Taiwan Ocean University,
National Health Research Institutes,
En Chu Kong Hospital,
Taipei Medical University,
National Cheng Kung University
show all 6
ORCID:
0000-0001-6940-0633
Observed ORCID:
0000-0001-6940-0633
OpenAlex ID:
A5019017419
Elemental characterization and source apportionment of PM 10 and PM 2.5 in the western coastal area of central Taiwan
2015
·
Chin-Yu Hsu
, Hung-Che Chiang
, et al.
·
The Science of The Total Environment
·
287
Impacts of hazardous metals and PAHs in fine and coarse particles with long-range transports in Taipei City
2019
·
Chin-Yu Hsu
, Hung-Che Chiang
, et al.
·
Environmental Pollution
·
58
Characteristics, Sources, and Health Risks of Atmospheric PM2.5-Bound Polycyclic Aromatic Hydrocarbons in Hsinchu, Taiwan
2016
·
Tzu-Ting Yang
, Chin-Yu Hsu
, et al.
·
Aerosol and Air Quality Research
·
57
PDF
Characteristics of Concentrations and Metal Compositions for PM2.5 and PM2.5-10 in Yunlin County, Taiwan during Air Quality Deterioration
2015
·
Yu-Cheng Chen
, Chin-Yu Hsu
, et al.
·
Aerosol and Air Quality Research
·
51
PDF
PM2.5- and PM10-bound polycyclic aromatic hydrocarbons (PAHs) in the residential area near coal-fired power and steelmaking plants of Taichung City, Taiwan: In vitro-based health risk and source identification
2019
·
Jinning Zhu
, Chin-Yu Hsu
, et al.
·
The Science of The Total Environment
·
37
An integrated strategy by using long-term monitoring data to identify volatile organic compounds of high concern near petrochemical industrial parks
2022
·
Chin-Yu Hsu
, Pei-Yu Wu
, et al.
·
The Science of The Total Environment
·
35
A mixed spatial prediction model in estimating spatiotemporal variations in benzene concentrations in Taiwan
2022
·
Chin-Yu Hsu
, Hong-Xin Xie
, et al.
·
Chemosphere
·
29
Development of an in Vitro-Based Risk Assessment Framework for Predicting Ambient Particulate Matter-Bound Polycyclic Aromatic Hydrocarbon-Activated Toxicity Pathways
2017
·
Wei-Chun Chou
, Chin-Yu Hsu
, et al.
·
Environmental Science & Technology
·
28
Estimating the daily average concentration variations of PCDD/Fs in Taiwan using a novel Geo-AI based ensemble mixed spatial model
2023
·
Chin-Yu Hsu
, Tien-Wei Lin
, et al.
·
Journal of Hazardous Materials
·
27
A machine learning-based ensemble model for estimating diurnal variations of nitrogen oxide concentrations in Taiwan
2024
·
Aji Kusumaning Asri
, Hsiao-Yun Lee
, et al.
·
The Science of The Total Environment
·
23
Characterization of the sources and health risks of polycyclic aromatic hydrocarbons in PM2.5 and their relationship with black carbon: A case study in northern Taiwan
2023
·
Yi-Wen Chen
, Yu-Hsiang Cheng
, et al.
·
Environmental Pollution
·
22
Characteristics and Source-specific Health Risks of Ambient PM2.5-bound PAHs in an Urban City of Northern Taiwan
2023
·
Yu-Chieh Ting
, Chun-Hung Ku
, et al.
·
Aerosol and Air Quality Research
·
19
PDF
A hybrid methodology to quantitatively identify inorganic aerosol of PM2.5 source contribution
2022
·
Yu-Cheng Chen
, Ruei-Hao Shie
, et al.
·
Journal of Hazardous Materials
·
18
PDF
Estimating morning and evening commute period O3 concentration in Taiwan using a fine spatial-temporal resolution ensemble mixed spatial model with Geo-AI technology
2023
·
Chin-Yu Hsu
, Ruei-Qin Lee
, et al.
·
Journal of Environmental Management
·
17
Predicting carbonaceous aerosols and identifying their source contribution with advanced approaches
2020
·
Jun-Jie Zhu
, Yu-Cheng Chen
, et al.
·
Chemosphere
·
17
Amorphous phase formation in intermetallic Mg2Ni alloy synthesized by ethanol wet milling
2008
·
Hwang-Wen Wang
, San-Der Chyou
, et al.
·
Journal of Alloys and Compounds
·
15
Quantifying source contributions to ambient NH3 using Geo-AI with time lag and parcel tracking functions
2024
·
Chih-Da Wu
, Jun-Jie Zhu
, et al.
·
Environment International
·
13
Using cluster algorithms with a machine learning technique and PMF models to quantify local-specific origins of PM2.5 and associated metals in Taiwan
2022
·
Chin-Yu Hsu
, Jhy-Charm Soo
, et al.
·
Environmental Pollution
·
13
Evaluating long-term and high spatiotemporal resolution of wet-bulb globe temperature through land-use based machine learning model
2023
·
Chin-Yu Hsu
, Pei-Yi Wong
, et al.
·
Journal of Exposure Science & Environmental Epidemiology
·
12
How a winding-down oil refinery park impacts air quality nearby?
2022
·
Chin-Yu Hsu
, Yu-Tzu Chang
, et al.
·
Environment International
·
12
Exposure estimates of PM2.5 using the land-use regression with machine learning and microenvironmental exposure models for elders: Validation and comparison
2023
·
Chin-Yu Hsu
, Wei-Ting Hsu
, et al.
·
Atmospheric Environment
·
10
Living proximity to petrochemical industries and the risk of attention-deficit/hyperactivity disorder in children
2022
·
Ching-chun Huang
, Shih-chun Pan
, et al.
·
Environmental Research
·
10
Innovating Taiwan's greenhouse gas estimation: A case study of atmospheric methane using GeoAI-Based ensemble mixed spatial prediction model
2025
·
Hao-Ting Chang
, Yinq-Rong Chern
, et al.
·
Journal of Environmental Management
·
9
Maternal proximity to petrochemical industrial parks and risk of premature rupture of membranes
2020
·
Ching-chun Huang
, Shih-chun Pan
, et al.
·
Environmental Research
·
8
Advanced statistical analysis of air quality and its health impacts in India: Quantifying significance by detangling weather-driven effects
2025
·
Akshansha Chauhan
, Guggilla Pavan Sai
, et al.
·
Heliyon
·
7
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Works count:
36
Citation count:
865
H-index:
15
I10-index:
22
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