31 citations as recorded by crossref.

1. Application of data assimilation technology in source apportionment of PM2.5 during winter haze episodes in the Beijing-Tianjin-Hebei region in China T. Sun et al. 10.1016/j.apr.2022.101546
2. Hyperspectral remote sensing for air pollutants: Stereoscopic monitoring, source localization & warning, and a dynamic emission inventory concept C. Xing et al. 10.1016/j.envint.2025.109375
3. Three-dimensional variational assimilation of Lidar extinction profiles: Application to PM2.5 prediction in north China L. Gao et al. 10.1016/j.atmosenv.2021.118828
4. Needs and challenges of optical atmospheric monitoring on the background of carbon neutrality in China W. Liu & C. Xing 10.1007/s11783-024-1833-2
5. Deep learning-driven reconstruction of PM2.5 vertical profiles: A fusion of lidar and tower data Z. Yi et al. 10.1016/j.jclepro.2025.145397
6. Seasonal patterns, vertical profiles, and sensitivity analysis of long-term O3 pollution observations in Hefei City, China X. Zhao et al. 10.1016/j.apr.2024.102145
7. Novel Insights into the Vertical Distribution Patterns of Multiple PM2.5 Components in a Super Mega-City: Responses to Pollution Control Strategies Y. Song et al. 10.3390/rs17071151
8. Practices and Empirical Insights from the National Research Program for Key Issues in Air Pollution in Beijing–Tianjin–Hebei and Surrounding Areas H. Li et al. 10.1016/j.eng.2022.08.021
9. Vertical distribution and transport characteristics of ozone pollution based on lidar observation network and data assimilation over the Pearl River Delta, China Y. Pan et al. 10.1016/j.atmosres.2024.107643
10. Transport characteristics of urban and rural aerosols based on vertical observations and deep learning predictions T. Zou et al. 10.1016/j.atmosres.2024.107876
11. Transparent and Robust Superhydrophobic Coatings for High-Fidelity Signal Transmission in Atmospheric Light Detection and Ranging Windows J. Chen et al. 10.1021/acs.langmuir.5c03890
12. Vertical Changes of Pm2.5 Concentration Driven by Meteorology in the Atmospheric Boundary Layer During a Heavy Air Pollution Event in Central China X. Sun et al. 10.2139/ssrn.4135986
13. Investigation on the vertical distribution and transportation of PM2.5 in the Beijing-Tianjin-Hebei region based on stereoscopic observation network T. Sun et al. 10.1016/j.atmosenv.2022.119511
14. Vertical profiles and regional transport of ozone in typical area of Yangtze-Huaihe River Basin during the autumn base on multiple lidars X. Wang et al. 10.1016/j.apr.2023.101983
15. Downdraft influences on the differences of PM2.5 concentration: insights from a mega haze evolution in the winter of northern China Z. Chen et al. 10.1088/1748-9326/ad1229
16. Unveiling 3-D evolution and mechanisms of ozone pollution in Changzhou, China: Insights from lidar observations and modelling Z. Liu et al. 10.1016/j.envpol.2024.124556
17. A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: A perspective from 2011 to 2023 X. Ma et al. 10.1016/j.envint.2024.108430
18. PM2.5 and PM10 vertical distribution retrieval methods based on coherent Doppler lidar via machine learning: for haze and dust in Qingdao R. Li et al. 10.1016/j.atmosenv.2025.121351
19. Observing system simulation experiment (OSSE)-quantitative evaluation of lidar observation networks to improve 3D aerosol forecasting in China H. Ye et al. 10.1016/j.atmosres.2022.106069
20. Insights into quantitative evaluation technology of PM2.5 transport at multi–perspective and multi–spatial and temporal scales in the north China plain H. Zhang et al. 10.1016/j.envpol.2023.122693
21. Estimation of the vertical distribution of particle matter (PM2.5) concentration and its transport flux from lidar measurements based on machine learning algorithms Y. Ma et al. 10.5194/acp-21-17003-2021
22. Vertical distribution of aerosols and association with atmospheric boundary layer structures during regional aerosol transport over central China X. Sun et al. 10.1016/j.envpol.2024.124967
23. Vertical changes of PM2.5 driven by meteorology in the atmospheric boundary layer during a heavy air pollution event in central China X. Sun et al. 10.1016/j.scitotenv.2022.159830
24. Source, transport and impact of biomass burning emissions in spring 2024 in Yunnan, China L. Lv et al. 10.1016/j.jes.2025.10.040
25. Shipborne lidar measurements of ozone over the southeastern coastal regions of China in winter L. Lv et al. 10.1016/j.envres.2025.121165
26. Lidar-Derived Atmospheric Boundary Layer Height Trends Over North China Plain from 2013 to 2018: Relationship to PM2.5 and Spatiotemporal Changes L. Lv et al. 10.1007/s11270-025-08391-3
27. Vertical profile of aerosols in the Himalayas revealed by lidar: New insights into their seasonal/diurnal patterns, sources, and transport Y. Xiang et al. 10.1016/j.envpol.2021.117686
28. Vertical structure and transport characteristic of aerosol and O3 during the emergency control period in Wuhan, China, using vehicle-lidar observations Y. Pan et al. 10.1016/j.atmosenv.2024.120762
29. Vertical aerosol data assimilation technology and application based on satellite and ground lidar: A review and outlook T. Yang et al. 10.1016/j.jes.2022.04.012
30. Evaluation of transport processes over North China Plain and Yangtze River Delta using MAX-DOAS observations Y. Song et al. 10.5194/acp-23-1803-2023
31. Constructing the 3D spatial distribution of PM2.5 concentrations during the 2022 Beijing Winter Olympics using LiDAR vertical observation networks and machine learning models Z. Wang et al. 10.1016/j.envint.2025.109875