86 citations as recorded by crossref.

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2. Estimating ground-level CO concentrations across China based on the national monitoring network and MOPITT: potentially overlooked CO hotspots in the Tibetan Plateau D. Liu et al. 10.5194/acp-19-12413-2019
3. A Review of Air Quality Modeling Studies in India: Local and Regional Scale R. Garaga et al. 10.1007/s40726-018-0081-0
4. PM2.5 Estimation with the WRF/Chem Model, Produced by Vehicular Flow in the Lima Metropolitan Area W. Reátegui-Romero et al. 10.4236/ojap.2018.73011
5. Inhale, exhale: Why particulate matter exposure in animal models are so acute? F. Curbani et al. 10.1016/j.envpol.2019.04.084
6. Integration of field observation and air quality modeling to characterize Beijing aerosol in different seasons J. Liu et al. 10.1016/j.chemosphere.2019.125195
7. Investigation of submicron aerosol characteristics in Changzhou, China: Composition, source, and comparison with co-collected PM2.5 Z. Ye et al. 10.1016/j.chemosphere.2017.05.094
8. WRF-Chem modeling of particulate matter in the Yangtze River Delta region: Source apportionment and its sensitivity to emission changes N. Li et al. 10.1371/journal.pone.0208944
9. Ozone pollution over China and India: seasonality and sources M. Gao et al. 10.5194/acp-20-4399-2020
10. A new approach to spatial source apportionment of haze pollution in large scale and its application in China H. Liu et al. 10.1080/10042857.2018.1480687
11. Source apportionment of summertime ozone in China using a source-oriented chemical transport model P. Wang et al. 10.1016/j.atmosenv.2019.05.006
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14. Effects of black carbon and boundary layer interaction on surface ozone in Nanjing, China J. Gao et al. 10.5194/acp-18-7081-2018
15. Year-long simulation of gaseous and particulate air pollutants in India S. Kota et al. 10.1016/j.atmosenv.2018.03.003
16. Simulation of summer ozone and its sensitivity to emission changes in China H. Guo et al. 10.1016/j.apr.2019.05.003
17. Air quality modeling for accountability research: Operational, dynamic, and diagnostic evaluation L. Henneman et al. 10.1016/j.atmosenv.2017.07.049
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19. Satellite-Based Estimates of Daily NO2Exposure in China Using Hybrid Random Forest and Spatiotemporal Kriging Model Y. Zhan et al. 10.1021/acs.est.7b05669
20. Evaluation of impact of residential heating on air quality of megacity Istanbul by CMAQ M. Baykara et al. 10.1016/j.scitotenv.2018.10.091
21. Associations of daily mortality with short-term exposure to PM2.5 and its constituents in Shanghai, China Y. Wang et al. 10.1016/j.chemosphere.2019.05.249
22. Estimating the daily PM2.5 concentration in the Beijing-Tianjin-Hebei region using a random forest model with a 0.01° × 0.01° spatial resolution C. Zhao et al. 10.1016/j.envint.2019.105297
23. The Critical Role of Policy Enforcement in Achieving Health, Air Quality, and Climate Benefits from India’s Clean Electricity Transition W. Peng et al. 10.1021/acs.est.0c01622
24. Source contributions and potential reductions to health effects of particulate matter in India H. Guo et al. 10.5194/acp-18-15219-2018
25. Source apportionment of secondary organic aerosol in China using a regional source-oriented chemical transport model and two emission inventories P. Wang et al. 10.1016/j.envpol.2017.10.122
26. Projected air quality and health benefits from future policy interventions in India K. Chen et al. 10.1016/j.resconrec.2018.12.008
27. Sources of humic-like substances (HULIS) in PM2.5 in Beijing: Receptor modeling approach X. Li et al. 10.1016/j.scitotenv.2019.03.333
28. Stabilization for the secondary species contribution to PM2.5 in the Pearl River Delta (PRD) over the past decade, China: A meta-analysis F. Yan et al. 10.1016/j.atmosenv.2020.117817
29. Source contributions to poor atmospheric visibility in China X. Li et al. 10.1016/j.resconrec.2018.12.029
30. Analysis of PM_2.5 in Shiga Prefecture using an atmospheric chemistry transport model K. MIYAMOTO et al. 10.2208/jscejer.74.I_61
31. Summertime ozone pollution in Sichuan Basin, China: Meteorological conditions, sources and process analysis X. Yang et al. 10.1016/j.atmosenv.2020.117392
32. Source apportionment of fine particulate matter in China in 2013 using a source-oriented chemical transport model Z. Shi et al. 10.1016/j.scitotenv.2017.06.019
33. The impact of sea-salt chloride on ozone through heterogeneous reaction with N2O5 in a coastal region of south China J. Dai et al. 10.1016/j.atmosenv.2020.117604
34. Driving Forces of Changes in Air Quality during the COVID-19 Lockdown Period in the Yangtze River Delta Region, China T. Liu et al. 10.1021/acs.estlett.0c00511
35. Impact of Meteorological Conditions on PM2.5 Pollution in China during Winter Y. Xu et al. 10.3390/atmos9110429
36. Evaluation of CMAQ modeling sensitivity to planetary boundary layer parameterizations for gaseous and particulate pollutants over a fjord valley C. Onwukwe & P. Jackson 10.1016/j.atmosenv.2020.117607
37. Modeling biogenic and anthropogenic secondary organic aerosol in China J. Hu et al. 10.5194/acp-17-77-2017
38. An Air Stagnation Index to Qualify Extreme Haze Events in Northern China J. Feng et al. 10.1175/JAS-D-17-0354.1
39. Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China K. Li et al. 10.1073/pnas.1812168116
40. Assessing Contributions of Agricultural and Nonagricultural Emissions to Atmospheric Ammonia in a Chinese Megacity Y. Chang et al. 10.1021/acs.est.8b05984
41. Source apportionment of PM2.5 across China using LOTOS-EUROS R. Timmermans et al. 10.1016/j.atmosenv.2017.06.003
42. Estimation of biogenic VOC emissions and their corresponding impact on ozone and secondary organic aerosol formation in China K. Wu et al. 10.1016/j.atmosres.2019.104656
43. Investigating air pollutant concentrations, impact factors, and emission control strategies in western China by using a regional climate-chemistry model J. Yang et al. 10.1016/j.chemosphere.2019.125767
44. Revealing the origin of fine particulate matter in the Sichuan Basin from a source-oriented modeling perspective X. Qiao et al. 10.1016/j.atmosenv.2020.117896
45. Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak P. Wang et al. 10.1016/j.resconrec.2020.104814
46. Diurnal variations and source apportionment of ozone at the summit of Mount Huang, a rural site in Eastern China J. Gao et al. 10.1016/j.envpol.2016.11.031
47. Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes X. Li et al. 10.1016/j.atmosenv.2019.117181
48. Review of receptor-based source apportionment research of fine particulate matter and its challenges in China Y. Zhang et al. 10.1016/j.scitotenv.2017.02.071
49. Effects of atmospheric transport and trade on air pollution mortality in China H. Zhao et al. 10.5194/acp-17-10367-2017
50. Modeling PM2.5 and O3 with aerosol feedbacks using WRF/Chem over the Sichuan Basin, southwestern China P. Wang et al. 10.1016/j.chemosphere.2020.126735
51. What have we missed when studying the impact of aerosols on surface ozone via changing photolysis rates? J. Gao et al. 10.5194/acp-20-10831-2020
52. The "Three Lines One Permit" policy: An integrated environmental regulation in China Z. Wang et al. 10.1016/j.resconrec.2020.105101
53. Variance analysis applied to ground-level ozone concentrations in the state of São Paulo, Brazil V. Carvalho et al. 10.1007/s43153-020-00045-7
54. Interannual and Decadal Changes in Tropospheric Ozone in China and the Associated Chemistry-Climate Interactions: A Review Y. Fu et al. 10.1007/s00376-019-8216-9
55. Source apportionment and regional transport of anthropogenic secondary organic aerosol during winter pollution periods in the Yangtze River Delta, China J. Liu et al. 10.1016/j.scitotenv.2019.135620
56. Impact of China’s Air Pollution Prevention and Control Action Plan on PM2.5 chemical composition over eastern China G. Geng et al. 10.1007/s11430-018-9353-x
57. Spatiotemporal prediction of daily ambient ozone levels across China using random forest for human exposure assessment Y. Zhan et al. 10.1016/j.envpol.2017.10.029
58. Responses of PM2.5 and O3 concentrations to changes of meteorology and emissions in China P. Wang et al. 10.1016/j.scitotenv.2019.01.227
59. Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1 G. Brasseur et al. 10.5194/gmd-12-33-2019
60. Worsening urban ozone pollution in China from 2013 to 2017 – Part 1: The complex and varying roles of meteorology Y. Liu & T. Wang 10.5194/acp-20-6305-2020
61. Regional source apportionment of summertime ozone and its precursors in the megacities of Beijing and Shanghai using a source-oriented chemical transport model P. Wang et al. 10.1016/j.atmosenv.2020.117337
62. A novel hybrid air quality early-warning system based on phase-space reconstruction and multi-objective optimization: A case study in China Y. Wang et al. 10.1016/j.jclepro.2020.121027
63. Puzzling Haze Events in China During the Coronavirus (COVID‐19) Shutdown Y. Chang et al. 10.1029/2020GL088533
64. Fine particulate matter constituents and cause-specific mortality in China: A nationwide modelling study J. Yang et al. 10.1016/j.envint.2020.105927
65. Characterization and source apportionment of marine aerosols over the East China Sea M. Kang et al. 10.1016/j.scitotenv.2018.10.174
66. Control of both PM2.5 and O3 in Beijing-Tianjin-Hebei and the surrounding areas S. Xiang et al. 10.1016/j.atmosenv.2020.117259
67. Sources and health risks of ambient polycyclic aromatic hydrocarbons in China F. Han et al. 10.1016/j.scitotenv.2019.134229
68. The role of anthropogenic chlorine emission in surface ozone formation during different seasons over eastern China Y. Hong et al. 10.1016/j.scitotenv.2020.137697
69. A novel framework for daily forecasting of ozone mass concentrations based on cycle reservoir with regular jumps neural networks Y. Mo et al. 10.1016/j.atmosenv.2019.117072
70. Specific differences and responses to reductions for premature mortality attributable to ambient PM2.5 in China Y. Li et al. 10.1016/j.scitotenv.2020.140643
71. Impacts of water partitioning and polarity of organic compounds on secondary organic aerosol over eastern China J. Li et al. 10.5194/acp-20-7291-2020
72. Source apportionment of PM2.5 for 25 Chinese provincial capitals and municipalities using a source-oriented Community Multiscale Air Quality model X. Qiao et al. 10.1016/j.scitotenv.2017.08.272
73. Evaluation of a data fusion approach to estimate daily PM2.5 levels in North China F. Liang et al. 10.1016/j.envres.2017.06.001
74. Impacts of model resolution on predictions of air quality and associated health exposure in Nanjing, China T. Liu et al. 10.1016/j.chemosphere.2020.126515
75. Air Quality Modeling Study on the Controlling Factors of Fine Particulate Matter (PM2.5) in Hanoi: A Case Study in December 2010 T. Nguyen et al. 10.3390/atmos11070733
76. Premature Mortality Attributable to Particulate Matter in China: Source Contributions and Responses to Reductions J. Hu et al. 10.1021/acs.est.7b03193
77. Modeling the impact of heterogeneous reactions of chlorine on summertime nitrate formation in Beijing, China X. Qiu et al. 10.5194/acp-19-6737-2019
78. Investigation of variations, causes and component distributions of PM2.5 mass in China using a coupled regional climate-chemistry model J. Yang et al. 10.1016/j.apr.2019.11.005
79. Attribution of Tropospheric Ozone to NOx and VOC Emissions: Considering Ozone Formation in the Transition Regime P. Wang et al. 10.1021/acs.est.8b05981
80. Spatial-temporal variations and source contributions to forest ozone exposure in China X. Qiao et al. 10.1016/j.scitotenv.2019.04.106
81. Ensemble prediction of air quality using the WRF/CMAQ model system for health effect studies in China J. Hu et al. 10.5194/acp-17-13103-2017
82. Modeling diurnal variation of surface PM<sub>2.5</sub> concentrations over East China with WRF-Chem: impacts from boundary-layer mixing and anthropogenic emission Q. Du et al. 10.5194/acp-20-2839-2020
83. Pollutant vertical mixing in the nocturnal boundary layer enhanced by density currents and low-level jets: two representative case studies M. Udina et al. 10.1007/s10546-019-00483-y
84. Drivers of improved PM2.5 air quality in China from 2013 to 2017 Q. Zhang et al. 10.1073/pnas.1907956116
85. Impacts of power generation on air quality in China—Part II: Future scenarios J. Hu et al. 10.1016/j.resconrec.2016.04.011
86. Impacts of power generation on air quality in China—part I: An overview L. Huang et al. 10.1016/j.resconrec.2016.04.010