Inter-comparison of black carbon measurement methods for simulated open biomass burning emissions H Li, KD Lamb, JP Schwarz, V Selimovic, RJ Yokelson, GR McMeeking, ... Atmospheric Environment 206, 156-169, 2019 | 40 | 2019 |
Development of a new correction algorithm applicable to any filter-based absorption photometer H Li, GR McMeeking, AA May Atmospheric Measurement Techniques 13 (5), 2865-2886, 2020 | 16 | 2020 |
The performance of an inexpensive spark-induced breakdown spectroscopy instrument for near real-time analysis of toxic metal particles H Li, L Mazzei, CD Wallis, SA Davari, AS Wexler Atmospheric Environment 264, 118666, 2021 | 11 | 2021 |
Improving quantitative analysis of spark-induced breakdown spectroscopy: Multivariate calibration of metal particles using machine learning H Li, L Mazzei, CD Wallis, AS Wexler Journal of Aerosol Science 159, 105874, 2022 | 8 | 2022 |
Application of machine learning approaches in the analysis of mass absorption cross-section of black carbon aerosols: Aerosol composition dependencies and sensitivity analyses AA May, H Li Aerosol Science and Technology 56 (11), 998-1008, 2022 | 4 | 2022 |
Estimating mass-absorption cross-section of ambient black carbon aerosols: Theoretical, empirical, and machine learning models H Li, AA May Aerosol Science and Technology 56 (11), 980-997, 2022 | 3 | 2022 |
An exploratory approach using regression and machine learning in the analysis of mass absorption cross section of black carbon aerosols: Model development and evaluation H Li, AA May Atmosphere 11 (11), 1185, 2020 | 3 | 2020 |
Application of an Inexpensive Spark-Induced Breakdown Spectroscopy Instrument for Measurements of Atmospheric Metal Particles H Li, L Mazzei, C Wallis, A Wexler AGU Fall Meeting Abstracts 2021, A55D-1401, 2021 | | 2021 |
Identification, Quantification, and Constraint of Uncertainties Associated with Atmospheric Black Carbon Aerosols H Li The Ohio State University, 2020 | | 2020 |