57 citations as recorded by crossref.

1. Quantification of the enhanced effectiveness of NOx control from simultaneous reductions of VOC and NH3 for reducing air pollution in the Beijing–Tianjin–Hebei region, China J. Xing et al. https://doi.org/10.5194/acp-18-7799-2018
2. Source impact and contribution analysis of ambient ozone using multi-modeling approaches over the Pearl River Delta region, China T. Fang et al. https://doi.org/10.1016/j.envpol.2021.117860
3. Developing China's roadmap for air quality improvement: A review on technology development and future prospects Y. Feng et al. https://doi.org/10.1016/j.jes.2022.10.028
4. Impacts of coal burning on ambient PM2.5 pollution in China Q. Ma et al. https://doi.org/10.5194/acp-17-4477-2017
5. Large-scale optimization of multi-pollutant control strategies in the Pearl River Delta region of China using a genetic algorithm in machine learning J. Huang et al. https://doi.org/10.1016/j.scitotenv.2020.137701
6. Ozone response modeling to NOx and VOC emissions: Examining machine learning models C. Kuo & J. Fu https://doi.org/10.1016/j.envint.2023.107969
7. Modeling the impact of COVID-19 on air quality in southern California: implications for future control policies Z. Jiang et al. https://doi.org/10.5194/acp-21-8693-2021
8. Assessing local and transboundary fine particulate matter pollution and sectoral contributions in Southeast Asia during haze months of 2015–2019 T. Fang et al. https://doi.org/10.1016/j.scitotenv.2023.169051
9. Optimal emission reduction scheme aimed at eliminating PM2.5 city pollution days within North China during a haze episode Z. Ye et al. https://doi.org/10.1016/j.apr.2023.101712
10. Least-cost control strategy optimization for air quality attainment of Beijing–Tianjin–Hebei region in China J. Xing et al. https://doi.org/10.1016/j.jenvman.2019.05.022
11. Unveiling the health impacts of air pollution transport in China D. Ding et al. https://doi.org/10.1016/j.envint.2024.108947
12. Winter haze over North China Plain from 2009 to 2016: Influence of emission and meteorology Q. Zhang et al. https://doi.org/10.1016/j.envpol.2018.08.019
13. Simulation analysis of atmospheric SO2 contributions from different regions in China J. Jiang et al. https://doi.org/10.1016/j.apr.2018.12.019
14. Quantifying the effect of organic aerosol aging and intermediate-volatility emissions on regional-scale aerosol pollution in China B. Zhao et al. https://doi.org/10.1038/srep28815
15. Assessing the Future Vehicle Fleet Electrification: The Impacts on Regional and Urban Air Quality W. Ke et al. https://doi.org/10.1021/acs.est.6b04253
16. The acidity of atmospheric particles and clouds H. Pye et al. https://doi.org/10.5194/acp-20-4809-2020
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18. Effect of selective catalytic reduction (SCR) on fine particle emission from two coal-fired power plants in China Z. Li et al. https://doi.org/10.1016/j.atmosenv.2015.08.046
19. Impact of trace element additives on anaerobic digestion of sewage sludge with in-situ carbon dioxide sequestration J. Linville et al. https://doi.org/10.1016/j.procbio.2016.06.003
20. Observation-based quantification of aerosol transport using optical flow: A satellite perspective to characterize interregional transport of atmospheric pollution T. Zhang et al. https://doi.org/10.1016/j.rse.2024.114457
21. Assessment of inter-city transport of particulate matter in the Beijing–Tianjin–Hebei region X. Chang et al. https://doi.org/10.5194/acp-18-4843-2018
22. Quantifying multi-year ozone precursor contributions over the Pearl River Delta Region of China using a deep learning-based response surface model J. Peng et al. https://doi.org/10.1007/s11783-025-2039-y
23. A Transformer-based agent model of GEOS-Chem v14.2.2 for informative prediction of PM2.5 and O3 levels to future emission scenarios: TGEOS v1.0 D. Li et al. https://doi.org/10.5194/gmd-19-1703-2026
24. Real-time source contribution analysis of ambient ozone using an enhanced meta-modeling approach over the Pearl River Delta Region of China T. Fang et al. https://doi.org/10.1016/j.jenvman.2020.110650
25. Response of ozone to current and future emission scenarios and the resultant human health impact in Southeast Asia T. Fang et al. https://doi.org/10.1016/j.envint.2025.109333
26. An Integrated Quantitative Method Based on ArcGIS Evaluating the Contribution of Rural Straw Open Burning to Urban Fine Particulate Pollution X. Wen et al. https://doi.org/10.3390/rs14184671
27. A forecasting tool for optimized emission control strategies to achieve short-term air quality attainment Z. Dong et al. https://doi.org/10.1016/j.jenvman.2024.123916
28. Impacts of household coal and biomass combustion on indoor and ambient air quality in China: Current status and implication Q. Li et al. https://doi.org/10.1016/j.scitotenv.2016.10.080
29. Responses of nitrogen and sulfur deposition to NH3 emission control in the Yangtze River Delta, China Z. Dong et al. https://doi.org/10.1016/j.envpol.2022.119646
30. The impact of the “Air Pollution Prevention and Control Action Plan” on PM2.5 concentrations in Jing-Jin-Ji region during 2012–2020 S. Cai et al. https://doi.org/10.1016/j.scitotenv.2016.11.188
31. Decomposition Analysis of Factors that Drive the Changes of Major Air Pollutant Emissions in China at a Multi-Regional Level J. Yang et al. https://doi.org/10.3390/su11247113
32. Accurate prediction of air quality response to emissions for effective control policy design M. Cao et al. https://doi.org/10.1016/j.jes.2022.02.009
33. Effects of climate change on PM2.5 formation chemistry, and the associated human health impacts and economic costs in Southeast Asia T. Fang et al. https://doi.org/10.1016/j.envint.2025.109835
34. Health-Oriented Emission Control Strategy of Energy Utilization and Its Co-CO2 Benefits: A Case Study of the Yangtze River Delta, China Z. Dong et al. https://doi.org/10.1021/acs.est.3c10693
35. Source contribution analysis of PM2.5 using Response Surface Model and Particulate Source Apportionment Technology over the PRD region, China Z. Li et al. https://doi.org/10.1016/j.scitotenv.2021.151757
36. Nonlinear relationships between air pollutant emissions and PM2.5-related health impacts in the Beijing-Tianjin-Hebei region B. Zhao et al. https://doi.org/10.1016/j.scitotenv.2019.01.169
37. Decadal-scale trends in regional aerosol particle properties and their linkage to emission changes B. Zhao et al. https://doi.org/10.1088/1748-9326/aa6cb2
38. Regional transport in Beijing-Tianjin-Hebei region and its changes during 2014–2017: The impacts of meteorology and emission reduction Z. Dong et al. https://doi.org/10.1016/j.scitotenv.2020.139792
39. Source and sectoral contribution analysis of PM2.5 based on efficient response surface modeling technique over Pearl River Delta Region of China Y. Pan et al. https://doi.org/10.1016/j.scitotenv.2020.139655
40. Co-benefits of regionally-differentiated carbon pricing policies across China W. Zhang et al. https://doi.org/10.1080/14693062.2022.2119198
41. Spatially and Temporally Differentiated NOx and VOCs Emission Abatement Could Effectively Gain O3-Related Health Benefits Z. Dong et al. https://doi.org/10.1021/acs.est.4c01345
42. City-specific vehicle emission control strategies to achieve stringent emission reduction targets in China's Yangtze River Delta region S. Zhang et al. https://doi.org/10.1016/j.jes.2016.06.038
43. "Environmental, health and economic benefits of emission reduction in residential sector – A case study for Poland" M. Werner et al. https://doi.org/10.1016/j.apr.2024.102360
44. Quantifying Nonlinear Multiregional Contributions to Ozone and Fine Particles Using an Updated Response Surface Modeling Technique J. Xing et al. https://doi.org/10.1021/acs.est.7b01975
45. Deep Learning for Prediction of the Air Quality Response to Emission Changes J. Xing et al. https://doi.org/10.1021/acs.est.0c02923
46. Predicting the Nonlinear Response of PM2.5 and Ozone to Precursor Emission Changes with a Response Surface Model J. Kelly et al. https://doi.org/10.3390/atmos12081044
47. Extreme Emission Reduction Requirements for China to Achieve World Health Organization Global Air Quality Guidelines Y. Jiang et al. https://doi.org/10.1021/acs.est.2c09164
48. Process analysis of PM2.5 pollution events in a coastal city of China using CMAQ Q. Zhang et al. https://doi.org/10.1016/j.jes.2018.09.007
49. An acid rain–friendly NH3 control strategy to maximize benefits toward human health and nitrogen deposition Z. Dong et al. https://doi.org/10.1016/j.scitotenv.2022.160116
50. Impact of air pollution control policies on future PM2.5 concentrations and their source contributions in China S. Cai et al. https://doi.org/10.1016/j.jenvman.2018.08.052
51. Improvements of response surface modeling with self-adaptive machine learning method for PM2.5 and O3 predictions J. Li et al. https://doi.org/10.1016/j.jenvman.2021.114210
52. Optimization of a NOx and VOC Cooperative Control Strategy Based on Clean Air Benefits D. Ding et al. https://doi.org/10.1021/acs.est.1c04201
53. Does economic growth and energy consumption drive environmental degradation in China’s 31 provinces? New evidence from a spatial econometric perspective W. Zhang et al. https://doi.org/10.1080/00036846.2019.1593943
54. A modeling study of the nonlinear response of fine particles to air pollutant emissions in the Beijing–Tianjin–Hebei region B. Zhao et al. https://doi.org/10.5194/acp-17-12031-2017
55. Inversion of hourly NOx emissions through air quality monitoring data and deep learning response surface modeling Z. Liu et al. https://doi.org/10.1016/j.atmosenv.2025.121695
56. Mismatched Social Welfare Allocation and PM2.5-Related Health Damage along Value Chains within China X. Tian et al. https://doi.org/10.1021/acs.est.3c00181
57. Mortality burdens in California due to air pollution attributable to local and nonlocal emissions T. Wang et al. https://doi.org/10.1016/j.envint.2019.105232