12 citations as recorded by crossref.

1. 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 & A. May 10.3390/atmos11111185
2. A Filter-Based Approach for the Measurement of Mass Absorption Coefficient of OC and EC Components in Soot F. Picca et al. 10.1080/00102202.2023.2239465
3. Aerosol optical properties calculated from size distributions, filter samples and absorption photometer data at Dome C, Antarctica, and their relationships with seasonal cycles of sources A. Virkkula et al. 10.5194/acp-22-5033-2022
4. Implications of Site‐specific Mass Absorption Cross‐section (MAC) to Black Carbon Observations at a High‐altitude Site in the Central Himalaya P. Srivastava et al. 10.1007/s13143-021-00241-6
5. Effects of different correction algorithms on absorption coefficient – a comparison of three optical absorption photometers at a boreal forest site K. Luoma et al. 10.5194/amt-14-6419-2021
6. Application of machine learning approaches in the analysis of mass absorption cross-section of black carbon aerosols: Aerosol composition dependencies and sensitivity analyses A. May & H. Li 10.1080/02786826.2022.2114312
7. Correcting for filter-based aerosol light absorption biases at the Atmospheric Radiation Measurement program's Southern Great Plains site using photoacoustic measurements and machine learning J. Kumar et al. 10.5194/amt-15-4569-2022
8. A review of quantification methods for light absorption enhancement of black carbon aerosol Y. Kong et al. 10.1016/j.scitotenv.2024.171539
9. Aerosol absorption using in situ filter-based photometers and ground-based sun photometry in the Po Valley urban atmosphere A. Bigi et al. 10.5194/acp-23-14841-2023
10. Improved estimation of PM2.5 brown carbon contributions to filter light attenuation J. Chow et al. 10.1016/j.partic.2021.01.001
11. Metrological traceability of black carbon measurement based on optical methods and its challenges in China: A review Y. Liu et al. 10.1016/j.atmosres.2023.106854
12. Estimating mass-absorption cross-section of ambient black carbon aerosols: Theoretical, empirical, and machine learning models H. Li & A. May 10.1080/02786826.2022.2114311