50 citations as recorded by crossref.

1. Health risk assessment of exposure near-future PM2.5 in Northern Thailand T. Amnuaylojaroen et al. 10.1007/s11869-022-01231-x
2. WRF-Chem simulated surface ozone over south Asia during the pre-monsoon: effects of emission inventories and chemical mechanisms A. Sharma et al. 10.5194/acp-17-14393-2017
3. On the Normal Approximation of the Ratio of Means Estimation of Lognormal Distributions with Application to PM2.5 Concentrations in Northern Thailand L. Singhasomboon & J. Piladaeng 10.1134/S1995080223020348
4. Numerical assessment of PM2.5 and O3 air quality in continental Southeast Asia: Baseline simulation and aerosol direct effects investigation G. Nguyen et al. 10.1016/j.atmosenv.2019.117054
5. Investigating the long-range transport of particulate matter in East Asia: Introducing a new Lagrangian diagnostic tool A. Pouyaei et al. 10.1016/j.atmosenv.2022.119096
6. Distribution and Meteorological Control of PM2.5 and Its Effect on Visibility in Northern Thailand T. Amnuaylojaroen et al. 10.3390/atmos14030538
7. Modified biomass burning emission in modeling system with fire radiative power: Simulation of particulate matter in Mainland Southeast Asia during smog episode S. Pimonsree et al. 10.1016/j.apr.2017.08.002
8. Projection of near-future climate change and agricultural drought in Mainland Southeast Asia under RCP8.5 T. Amnuaylojaroen & P. Chanvichit 10.1007/s10584-019-02442-5
9. Sensitivity of projected PM2.5- and O3-related health impacts to model inputs: A case study in mainland China M. Zhong et al. 10.1016/j.envint.2018.12.002
10. Inter-comparison of different NOX emission inventories and associated variation in simulated surface ozone in Indian region C. Jena et al. 10.1016/j.atmosenv.2015.06.057
11. Air quality modeling with WRF-Chem v3.5 in East Asia: sensitivity to emissions and evaluation of simulated air quality M. Zhong et al. 10.5194/gmd-9-1201-2016
12. Tropospheric Ozone Assessment Report: Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends P. Young et al. 10.1525/elementa.265
13. High spatial resolution WRF-Chem model over Asia: Physics and chemistry evaluation P. Sicard et al. 10.1016/j.atmosenv.2020.118004
14. Spatiotemporal estimation of hourly 2-km ground-level ozone over China based on Himawari-8 using a self-adaptive geospatially local model Y. Wang et al. 10.1016/j.gsf.2021.101286
15. Multi-Model Evaluation of Meteorological Drivers, Air Pollutants and Quantification of Emission Sources over the Upper Brahmaputra Basin A. Saikia et al. 10.3390/atmos10110703
16. Prediction of PM2.5 in an Urban Area of Northern Thailand Using Multivariate Linear Regression Model T. Amnuaylojaroen & I. Levy 10.1155/2022/3190484
17. Comparison of global inventories of CO2 emissions from biomass burning during 2002–2011 derived from multiple satellite products Y. Shi et al. 10.1016/j.envpol.2015.08.009
18. Anthropogenic emissions and space-borne observations of carbon monoxide over South Asia Z. Ul-Haq et al. 10.1016/j.asr.2016.06.033
19. Investigating the background and local contribution of the oxidants in London and Bangkok M. Khan et al. 10.1039/D0FD00086H
20. Regional scale air quality modelling system in India: issues, challenges and suggestive framework N. Shukla et al. 10.1007/s12517-023-11474-2
21. Spatio-temporal variability of CO over the Eastern Indo-Gangetic Plain (IGP) and in parts of South-East Asia: a MERRA-2-based study D. Ghosh et al. 10.1007/s11869-019-00728-2
22. Source emission contributions to particulate matter and ozone, and their health impacts in Southeast Asia Y. Gu et al. 10.1016/j.envint.2024.108578
23. Sensitivity of WRF-Chem model resolution in simulating tropospheric ozone in Southeast Asia A. Adedeji et al. 10.1088/1755-1315/489/1/012030
24. Global spatiotemporal estimation of daily high-resolution surface carbon monoxide concentrations using Deep Forest Y. Wang et al. 10.1016/j.jclepro.2022.131500
25. Spatiotemporal patterns of correlation between atmospheric nitrogen dioxide and aerosols over South Asia Z. ul-Haq et al. 10.1007/s00703-016-0485-6
26. Laboratory measurements of stomatal NO<sub>2</sub> deposition to native California trees and the role of forests in the NO<sub>x</sub> cycle E. Delaria et al. 10.5194/acp-20-14023-2020
27. Study of SO Pollution in the Middle East Using MERRA‐2, CAMS Data Assimilation Products, and High‐Resolution WRF‐Chem Simulations A. Ukhov et al. 10.1029/2019JD031993
28. Sensitivity of Planetary Boundary Layer Scheme in WRF-Chem Model for Predicting PM10 Concentration (Case study: Jakarta) M. Musthafa et al. 10.1088/1755-1315/303/1/012049
29. Distribution of surface carbon monoxide over the Indian subcontinent: Investigation of source contributions using WRF-Chem N. I et al. 10.1016/j.atmosenv.2020.117838
30. Determining relationships and mechanisms between tropospheric ozone column concentrations and tropical biomass burning in Thailand and its surrounding regions T. Sonkaew & R. Macatangay 10.1088/1748-9326/10/6/065009
31. Sulphur dioxide loadings over megacity Lahore (Pakistan) and adjoining region of Indo-Gangetic Basin Z. ul-Haq et al. 10.1080/01431161.2016.1192701
32. Evaluation of WRF-Chem PM2.5 simulations in Thailand with different anthropogenic and biomass-burning emissions W. Thongsame et al. 10.1016/j.aeaoa.2024.100282
33. Influence of anthropogenic emission inventories on simulations of air quality in China during winter and summer 2010 I. Bouarar et al. 10.1016/j.atmosenv.2018.10.043
34. Long-term variations of ground-level NO2 concentrations along coastal areas in China N. Zhan et al. 10.1016/j.atmosenv.2022.119158
35. Development of a Heat Index Related to Air Quality and Meteorology for an Assessment of Work Performance in Thailand’s Urban Areas N. Parasin & T. Amnuaylojaroen 10.3390/urbansci7040124
36. Impact of biomass burning and its control on particulate matter over a city in mainland Southeast Asia during a smog episode S. Pimonsree & P. Vongruang 10.1016/j.atmosenv.2018.09.053
37. High-Spatiotemporal-Resolution Estimation of Ground-Level Ozone in China Based on Machine Learning J. Chen et al. 10.3390/atmos15010034
38. Updated emission inventories of power plants in simulating air quality during haze periods over East China L. Zhang et al. 10.5194/acp-18-2065-2018
39. Effect of PM2.5 on burden of mortality from non-communicable diseases in northern Thailand N. Parasin & T. Amnuaylojaroen 10.7717/peerj.18055
40. Modeling the effect of VOCs from biomass burning emissions on ozone pollution in upper Southeast Asia T. Amnuaylojaroen et al. 10.1016/j.heliyon.2019.e02661
41. Characterization of carbon monoxide, methane and nonmethane hydrocarbons in emerging cities of Saudi Arabia and Pakistan and in Singapore B. Barletta et al. 10.1007/s10874-016-9343-7
42. Satellite-sensed tropospheric NO2 patterns and anomalies over Indus, Ganges, Brahmaputra, and Meghna river basins Z. ul-Haq et al. 10.1080/01431161.2017.1283071
43. Impact of Biomass Burning on Ozone, Carbon Monoxide, and Nitrogen Dioxide in Northern Thailand S. Khodmanee & T. Amnuaylojaroen 10.3389/fenvs.2021.641877
44. The description and validation of the computationally Efficient CH<sub>4</sub>–CO–OH (ECCOHv1.01) chemistry module for 3-D model applications Y. Elshorbany et al. 10.5194/gmd-9-799-2016
45. Biomass burning in Indo-China peninsula and its impacts on regional air quality and global climate change-a review I. Yadav et al. 10.1016/j.envpol.2017.04.085
46. Spatiotemporal distribution of air pollutants during a heat wave–induced forest fire event in Uttarakhand A. Sharma et al. 10.1007/s11356-023-29906-7
47. Influence of springtime biomass burning in South Asia on regional ozone (O 3 ): A model based case study C. Jena et al. 10.1016/j.atmosenv.2014.10.027
48. Inter-comparison between HERMESv2.0 and TNO-MACC-II emission data using the CALIOPE air quality system (Spain) M. Guevara et al. 10.1016/j.atmosenv.2014.08.067
49. Effects of biogenic volatile organic compounds and anthropogenic NOx emissions on O3 and PM2.5 formation over the northern region of Thailand P. Uttamang et al. 10.3389/fenvs.2023.1146437
50. Source attribution of carbon monoxide and ozone over the Indian subcontinent using MOZART-4 chemistry transport model Y. Yarragunta et al. 10.1016/j.atmosres.2019.04.019