J
Jiayu Li
Researcher at Washington University in St. Louis
Publications - 17
Citations - 963
Jiayu Li is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Particulates & Scanning mobility particle sizer. The author has an hindex of 11, co-authored 17 publications receiving 658 citations. Previous affiliations of Jiayu Li include University of Washington & Carnegie Mellon University.
Papers
More filters
Journal ArticleDOI
Laboratory Evaluation and Calibration of Three Low-Cost Particle Sensors for Particulate Matter Measurement
TL;DR: In this article, three low-cost particle sensors based on light scattering (Shinyei PPD42NS, Samyoung DSM501A, and Sharp GP2Y1010AU0F) were evaluated by calibration methods adapted from the US EPA 2013 Air Sensor Workshop recommendations.
Journal ArticleDOI
Evaluation of nine low-cost-sensor-based particulate matter monitors
TL;DR: In this article, the performance of nine low-cost PM monitors (AirVisual, Alphasense, APT, Awair, Dylos, Foobot, PurpleAir, Wynd, and Xiaomi) in a chamber containing a well-defined aerosol was assessed.
Journal ArticleDOI
Spatiotemporal distribution of indoor particulate matter concentration with a low-cost sensor network
TL;DR: In this article, a wireless network of low-cost particle sensors that can be deployed indoors was developed to overcome the well-known limitations of low sensitivity and poor signal quality associated with low cost sensors, a sliding window and a low pass filter were developed to enhance the signal quality.
Journal ArticleDOI
Characterization of Aerosols Generated During Patient Care Activities
Caroline A O'Neil,Jiayu Li,Anna Leavey,Yang Wang,Matthew Hink,Meghan A. Wallace,Pratim Biswas,Carey-Ann D. Burnham,Hilary M. Babcock +8 more
TL;DR: Measurement of the aerosols generated during 7 healthcare procedures showed an increase in particle concentrations over baseline only during nebulized medication administration (NMA) and bronchoscopy with NMA.
Journal ArticleDOI
Spatio-temporal measurement of indoor particulate matter concentrations using a wireless network of low-cost sensors in households using solid fuels
TL;DR: A low‐cost wireless particulate matter (PM) sensor network was developed and deployed in households in Raipur, India to establish the spatio‐temporal variation of PM concentrations, finding exposure to cookstove emissions is not limited to the kitchen area and the cook.