What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Statistics
- Ecology
His scientific interests lie mostly in Environmental chemistry, Particulates, Aerosol, Monsoon and Meteorology.
He has included themes like Phosphorus and Smoke in his Environmental chemistry study.
The Particulates study combines topics in areas such as Air pollution and Atmospheric sciences.
His Air pollution study combines topics in areas such as Environmental engineering, Pollutant and Pollution.
His study looks at the relationship between Monsoon and topics such as Asian Dust, which overlap with Seasonality, Total organic carbon, Period and Nitrogen.
The various areas that Shih-Chun Candice Lung examines in his Meteorology study include Physical geography and Normalized Difference Vegetation Index.
His most cited work include:
- "What We Breathe Impacts Our Health: Improving Understanding of the Link between Air Pollution and Health" (175 citations)
- Sources, solubility, and dry deposition of aerosol trace elements over the East China Sea (160 citations)
- Sources, solubility, and dry deposition of aerosol trace elements over the East China Sea (160 citations)
What are the main themes of his work throughout his whole career to date?
Shih-Chun Candice Lung mainly focuses on Particulates, Environmental chemistry, Air pollution, Environmental health and Statistics.
The study incorporates disciplines such as Smoke, Atmospheric sciences, Pollutant and Indoor air quality in addition to Particulates.
He works mostly in the field of Environmental chemistry, limiting it down to topics relating to Aerosol and, in certain cases, Nitrate.
His Air pollution research focuses on subjects like Pollution, which are linked to Physical geography.
His research in Physical geography intersects with topics in Monsoon and Meteorology.
His Statistics research incorporates elements of Normalized Difference Vegetation Index and Land use regression.
He most often published in these fields:
- Particulates (23.03%)
- Environmental chemistry (18.42%)
- Air pollution (23.68%)
What were the highlights of his more recent work (between 2019-2021)?
- Environmental health (21.05%)
- Exposure assessment (9.21%)
- Land use regression (17.76%)
In recent papers he was focusing on the following fields of study:
Shih-Chun Candice Lung spends much of his time researching Environmental health, Exposure assessment, Land use regression, Particulates and Air pollution.
The concepts of his Environmental health study are interwoven with issues in Adverse effect, Incidence and Generalized estimating equation.
His studies in Land use regression integrate themes in fields like Urban heat island and Kriging.
His Particulates study combines topics from a wide range of disciplines, such as Atmosphere, Pollutant, Risk assessment and Urban area.
His Air pollution study deals with Land use intersecting with Urban planning and Resource.
His Statistics study integrates concerns from other disciplines, such as Urbanization and Normalized Difference Vegetation Index.
Between 2019 and 2021, his most popular works were:
- A versatile low-cost sensing device for assessing PM2.5 spatiotemporal variation and quantifying source contribution. (10 citations)
- A versatile low-cost sensing device for assessing PM2.5 spatiotemporal variation and quantifying source contribution. (10 citations)
- A hybrid kriging/land-use regression model with Asian culture-specific sources to assess NO2 spatial-temporal variations (10 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Ecology
Shih-Chun Candice Lung mainly investigates Wireless sensor network, Statistics, Spatial variability, Robustness and Remote sensing.
His study in Wireless sensor network intersects with areas of studies such as Random forest, Air monitoring, Artificial intelligence, Root mean square and Support vector machine.
His research integrates issues of Air quality monitoring and Air quality index in his study of Statistics.
Shih-Chun Candice Lung combines subjects such as Regression analysis and Kriging with his study of Spatial variability.
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