Ling‐Jyh Chen
Biographic Data
| ID | 8673704 |
|---|---|
| NAME | Ling‐Jyh Chen |
| GIVEN NAMES | Ling‐Jyh |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN L J |
| AFFILIATIONS | Institute of Information Science, Academia Sinica |
| ORCID | 0000-0001-5667-7764 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Translating citizen-generated air quality data into evidence for shaping policy
The practice of participatory sensing for environment monitoring has rapidly evolved over the years. There has been a steady growth of citizen-based air quality monitoring projects that aim to build partnerships, knowledge-sharing platforms, awareness, and ultimately resilience to issues related to air quality. Whilst citizen science has reshaped air quality research by bringing a fresh perspective on democratizing science for the public good, th…
Dynamic modeling for noise mapping in urban areas
Environmental noise has been a major environmental nuisance in metropolitan cities. To achieve the goal of sustainable community, noise reduction is an important approach. Without systematic noise mapping, the spatio-temporal distribution of noise variations is hard to capture. This study proposes a new methodology framework to combine statistical models and acoustic propagation for dynamic updates of 2D and 3D traffic noise maps by using a limit…
From Do-It-Yourself (DIY) to Do-It-Together (DIT)
Associations between acute exposures to PM 2.5 and carbon dioxide indoors and cognitive function in office workers
Despite evidence of the air pollution effects on cognitive function, little is known about the acute impact of indoor air pollution on cognitive function among the working-age population. We aimed to understand whether cognitive function was associated with real-time indoor concentrations of particulate matter (PM 2.5 ) and carbon dioxide (CO 2 ). We conducted a prospective observational longitudinal study among 302 office workers in urban commer…
Dynamic modeling for noise mapping in urban areas
Environmental noise has been a major environmental nuisance in metropolitan cities. To achieve the goal of sustainable community, noise reduction is an important approach. Without systematic noise mapping, the spatio-temporal distribution of noise variations is hard to capture. This study proposes a new methodology framework to combine statistical models and acoustic propagation for dynamic updates of 2D and 3D traffic noise maps by using a limit…
From Do-It-Yourself (DIY) to Do-It-Together (DIT)
Associations between acute exposures to PM 2.5 and carbon dioxide indoors and cognitive function in office workers
Despite evidence of the air pollution effects on cognitive function, little is known about the acute impact of indoor air pollution on cognitive function among the working-age population. We aimed to understand whether cognitive function was associated with real-time indoor concentrations of particulate matter (PM 2.5 ) and carbon dioxide (CO 2 ). We conducted a prospective observational longitudinal study among 302 office workers in urban commer…
Translating citizen-generated air quality data into evidence for shaping policy
The practice of participatory sensing for environment monitoring has rapidly evolved over the years. There has been a steady growth of citizen-based air quality monitoring projects that aim to build partnerships, knowledge-sharing platforms, awareness, and ultimately resilience to issues related to air quality. Whilst citizen science has reshaped air quality research by bringing a fresh perspective on democratizing science for the public good, th…
Dynamic modeling for noise mapping in urban areas
Environmental noise has been a major environmental nuisance in metropolitan cities. To achieve the goal of sustainable community, noise reduction is an important approach. Without systematic noise mapping, the spatio-temporal distribution of noise variations is hard to capture. This study proposes a new methodology framework to combine statistical models and acoustic propagation for dynamic updates of 2D and 3D traffic noise maps by using a limit…
Air Quality Monitoring and Forecasting (3 works) · Air Quality and Health Impacts (2 works) · Air quality index (2 works) · Business (2 works) · Citizen journalism (2 works) · Citizen science (2 works) · Computer Science (2 works) · Geography (2 works) · Grassroots (2 works) · Noise Effects and Management (2 works)