54 citations as recorded by crossref.

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7. Modeling the impact of COVID-19 on air quality in southern California: implications for future control policies Z. Jiang et al. 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. 10.1016/j.scitotenv.2023.169051
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19. Impact of trace element additives on anaerobic digestion of sewage sludge with in-situ carbon dioxide sequestration J. Linville et al. 10.1016/j.procbio.2016.06.003
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22. 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. 10.1016/j.jenvman.2020.110650
23. An Integrated Quantitative Method Based on ArcGIS Evaluating the Contribution of Rural Straw Open Burning to Urban Fine Particulate Pollution X. Wen et al. 10.3390/rs14184671
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30. 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. 10.1021/acs.est.3c10693
31. Source contribution analysis of PM2.5 using Response Surface Model and Particulate Source Apportionment Technology over the PRD region, China Z. Li et al. 10.1016/j.scitotenv.2021.151757
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35. 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. 10.1016/j.scitotenv.2020.139655
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37. Spatially and Temporally Differentiated NOx and VOCs Emission Abatement Could Effectively Gain O3-Related Health Benefits Z. Dong et al. 10.1021/acs.est.4c01345
38. City-specific vehicle emission control strategies to achieve stringent emission reduction targets in China's Yangtze River Delta region S. Zhang et al. 10.1016/j.jes.2016.06.038
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41. Deep Learning for Prediction of the Air Quality Response to Emission Changes J. Xing et al. 10.1021/acs.est.0c02923
42. Predicting the Nonlinear Response of PM2.5 and Ozone to Precursor Emission Changes with a Response Surface Model J. Kelly et al. 10.3390/atmos12081044
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47. Improvements of response surface modeling with self-adaptive machine learning method for PM2.5 and O3 predictions J. Li et al. 10.1016/j.jenvman.2021.114210
48. Optimization of a NOx and VOC Cooperative Control Strategy Based on Clean Air Benefits D. Ding et al. 10.1021/acs.est.1c04201
49. 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. 10.1080/00036846.2019.1593943
50. A modeling study of the nonlinear response of fine particles to air pollutant emissions in the Beijing–Tianjin–Hebei region B. Zhao et al. 10.5194/acp-17-12031-2017
51. Mismatched Social Welfare Allocation and PM2.5-Related Health Damage along Value Chains within China X. Tian et al. 10.1021/acs.est.3c00181
52. Mortality burdens in California due to air pollution attributable to local and nonlocal emissions T. Wang et al. 10.1016/j.envint.2019.105232
53. Assessment of short-term PM2.5-related mortality due to different emission sources in the Yangtze River Delta, China J. Wang et al. 10.1016/j.atmosenv.2015.05.060
54. A case study of development and application of a streamlined control and response modeling system for PM2.5 attainment assessment in China S. Long et al. 10.1016/j.jes.2015.05.019