99 citations as recorded by crossref.

1. A new approach of the normalization relationship between PM2.5 and visibility and the theoretical threshold, a case in north China X. Wu et al. 10.1016/j.atmosres.2020.105054
2. Source apportionment of fine secondary inorganic aerosol over the Pearl River Delta region using a hybrid method W. Chen et al. 10.1016/j.apr.2021.101061
3. Trends in secondary inorganic aerosol pollution in China and its responses to emission controls of precursors in wintertime F. Meng et al. 10.5194/acp-22-6291-2022
4. The impacts of meteorology on source contributions of air pollution in winter in Beijing, 2015–2017 changes W. Wen et al. 10.1016/j.apr.2020.07.029
5. Mechanism of haze pollution in summer and its difference with winter in the North China Plain Q. Li et al. 10.1016/j.scitotenv.2021.150625
6. Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis R. Li et al. 10.5194/acp-21-15631-2021
7. Doing more with less: How to design a good subgroup governance model for the air pollution transport network in “2+26” cities of China? W. Zeng et al. 10.1016/j.jenvman.2022.116909
8. Air pollution we breathe: Assessing the air quality and human health impact in a megacity of Southeast Asia F. Sannoh et al. 10.1016/j.scitotenv.2024.173403
9. Comparison of Responses to PM2.5 in China and Korea Y. Ghim 10.5572/KOSAE.2021.37.2.197
10. Climate anomalies contributed to the rebound of PM2.5 in winter 2018 under intensified regional air pollution preventions Z. Yin & Y. Zhang 10.1016/j.scitotenv.2020.138514
11. Variations and drivers of aerosol vertical characterization after clean air policy in China based on 7-years consecutive observations X. Chen et al. 10.1016/j.jes.2022.02.036
12. Drivers for the poor air quality conditions in North China Plain during the COVID-19 outbreak M. Li et al. 10.1016/j.atmosenv.2020.118103
13. Heterogeneous changes of chemical compositions, sources and health risks of PM2.5 with the “Clean Heating” policy at urban/suburban/industrial sites Z. Li et al. 10.1016/j.scitotenv.2022.158871
14. The division of PM2.5-O3 composite airborne pollution across China based on spatiotemporal clustering J. Yang et al. 10.1016/j.jclepro.2023.136706
15. Iron and steel industry emissions and contribution to the air quality in China L. Tang et al. 10.1016/j.atmosenv.2020.117668
16. Policy Implications of the Clean Heating Transition: A Case Study of Shanxi E. Lee et al. 10.3390/en14248431
17. Effect of Different Combustion Processes on Atmospheric Nitrous Acid Formation Mechanisms: A Winter Comparative Observation in Urban, Suburban and Rural Areas of the North China Plain W. Zhang et al. 10.1021/acs.est.1c07784
18. The Spatial Variation of the Influence of Lockdown on Air Quality across China and Its Major Influencing Factors during COVID-19 J. Yang et al. 10.3390/atmos13101597
19. Ambient fine particulate matter and ozone pollution in China: synergy in anthropogenic emissions and atmospheric processes Y. Jiang et al. 10.1088/1748-9326/aca16a
20. Characteristics and sources of volatile organic compounds during pollution episodes and clean periods in the Beijing-Tianjin-Hebei region S. Yang et al. 10.1016/j.scitotenv.2021.149491
21. High contribution of vehicle emissions to fine particulate pollutions in Lanzhou, Northwest China based on high-resolution online data source appointment M. Wang et al. 10.1016/j.scitotenv.2021.149310
22. Effects of anthropogenic precursor emissions and meteorological conditions on PM2.5 concentrations over the “2+26” cities of northern China J. Dong et al. 10.1016/j.envpol.2022.120392
23. Long-distance mobile MAX-DOAS observations of NO2 and SO2 over the North China Plain and identification of regional transport and power plant emissions W. Tan et al. 10.1016/j.atmosres.2020.105037
24. An advection-diffusion equation-based approach to discern the meteorological factor effects on particle concentrations J. Ren et al. 10.1016/j.atmosres.2023.107213
25. Spatiotemporal variations and sources of PM2.5 in the Central Plains Urban Agglomeration, China X. Liu et al. 10.1007/s11869-022-01178-z
26. Seasonal Variation and Source Identification of PM10 in an Industrialized City P. Khobragade & A. Ahirwar 10.1002/masy.202100217
27. Spatiotemporal causal convolutional network for forecasting hourly PM2.5 concentrations in Beijing, China L. Zhang et al. 10.1016/j.cageo.2021.104869
28. Heterogeneous Changes of Chemical Compositions, Sources and Health Risks of Pm2.5 with the “Clean Heating” Policy at Urban/Suburban/Industrial Sites L. Zhiyong et al. 10.2139/ssrn.4177778
29. Response of fine particulate matter and ozone concentrations to meteorology and anthropogenic precursors over the “2+26” cities of northern China P. Liu et al. 10.1016/j.chemosphere.2024.141439
30. Spatiotemporal variations and trends of air quality in major cities in Guizhou F. Lu et al. 10.3389/fenvs.2023.1254390
31. Assessment of vertical characterization and potential sources of aerosols in different altitude layers: Combined application of MAX-DOAS observation and the 3D-CWT model J. Chen et al. 10.1016/j.atmosres.2023.107046
32. Unpacking the factors contributing to changes in PM2.5-associated mortality in China from 2013 to 2019 H. Zheng et al. 10.1016/j.envint.2024.108470
33. Characteristics and health risks assessment of PM2.5-bound heavy metals during winter in urban areas of northern China: A case study in Kaifeng X. Qi et al. 10.1016/j.scitotenv.2024.177050
34. Study of the spatial divergence features and motivating factors of energy green consumption levels in “2+26” cities P. Liu et al. 10.1007/s11356-022-23208-0
35. Integrating Tehran metropolitan air pollution into the current transport system and sprawl growth: an emphasis on urban performance and accessibility H. Talkhabi et al. 10.1007/s44327-024-00008-4
36. Effects of different stagnant meteorological conditions on aerosol chemistry and regional transport changes in Beijing, China J. Li et al. 10.1016/j.atmosenv.2021.118483
37. Decade-long trends in chemical component properties of PM2.5 in Beijing, China (2011−2020) J. Wang et al. 10.1016/j.scitotenv.2022.154664
38. Nonlinear response of SIA to emission changes and chemical processes over eastern and central China during a heavy haze month M. Lu et al. 10.1016/j.scitotenv.2021.147747
39. Does low carbon energy transition impede air pollution? Evidence from China's coal-to-gas policy X. Wang et al. 10.1016/j.resourpol.2023.103723
40. Improved prediction of hourly PM2.5 concentrations with a long short-term memory and spatio-temporal causal convolutional network deep learning model Y. Chen et al. 10.1016/j.scitotenv.2023.168672
41. Distinct urban-rural gradients of air NO2 and SO2 concentrations in response to emission reductions during 2015–2022 in Beijing, China T. He et al. 10.1016/j.envpol.2023.122021
42. Elucidating transport dynamics and regional division of PM2.5 and O3 in China using an advanced network model X. Hou et al. 10.1016/j.envint.2024.108731
43. An Empirical Mode Decomposition for Establishing Spatiotemporal Air Quality Trends in Shandong Province, China H. Wu et al. 10.3390/su132212901
44. Investigating the contribution of grown new particles to cloud condensation nuclei with largely varying preexisting particles – Part 2: Modeling chemical drivers and 3-D new particle formation occurrence M. Chu et al. 10.5194/acp-24-6769-2024
45. Analysis of the Effect of Economic Development on Air Quality in Jiangsu Province Using Satellite Remote Sensing and Statistical Modeling J. Jia et al. 10.3390/atmos13050697
46. Soil organic carbon prediction using phenological parameters and remote sensing variables generated from Sentinel-2 images X. He et al. 10.1016/j.catena.2021.105442
47. Characteristics, sources and health risk assessment of PM2.5 in China's coal and coking heartland: Insights gained from the regional observations during the heating season X. Dao et al. 10.1016/j.apr.2021.101237
48. Spatial variability-based sample size allocation for stratified sampling S. Shao et al. 10.1016/j.catena.2021.105509
49. Evaluation of PM2.5 fluxes in the “2+26” cities: Transport pathways and intercity contributions M. Qi et al. 10.1016/j.apr.2021.03.011
50. Driving factors and spatio-temporal features underlying industrial SO2 emissions in “2+26” in North China and extended cities Z. Miao et al. 10.1016/j.cjpre.2021.04.006
51. City-level air quality improvement in the Beijing-Tianjin-Hebei region from 2016/17 to 2017/18 heating seasons: Attributions and process analysis Y. Zhang et al. 10.1016/j.envpol.2021.116523
52. Aerosol Optical Properties in Summer in Typical Urban Area of Beijing: Variations, Potential Sources, and Influence on Ground-Level-Ozone Formation Mechanism L. Li et al. 10.2139/ssrn.4045487
53. Changes in Air Quality and Drivers for the Heavy PM2.5 Pollution on the North China Plain Pre- to Post-COVID-19 S. Liu et al. 10.3390/ijerph191912904
54. Comparative research on visibility and light extinction of PM2.5 components during 2014–17 in the North China plain X. Wu et al. 10.1016/j.aosl.2021.100034
55. Labor market impact of China’s cross-regional environmental regulation on pollution-intensive firms C. Bu et al. 10.1080/09640568.2023.2216871
56. Health risks and sources of trace elements and black carbon in PM2.5 from 2019 to 2021 in Beijing C. Hua et al. 10.1016/j.jes.2023.05.023
57. Physical informed neural network improving the WRF-CHEM results of air pollution using satellite-based remote sensing data B. Li et al. 10.1016/j.atmosenv.2023.120031
58. Sources of Organic Aerosol in China from 2005 to 2019: A Modeling Analysis H. Zheng et al. 10.1021/acs.est.2c08315
59. Cross-boundary transport and source apportionment for PM2.5 in a typical industrial city in the Hebei Province, China: A modeling study X. Liu et al. 10.1016/j.jes.2021.03.008
60. Impact of inter-annual meteorological variation from 2001 to 2015 on the contribution of regional transport to PM2.5 in Beijing, China D. Chen et al. 10.1016/j.atmosenv.2021.118545
61. Evaluation of impact of "2+26″ regional strategies on air quality improvement of different functional districts in Beijing based on a long-term field campaign J. Tian et al. 10.1016/j.envres.2022.113452
62. PM2.5 Concentration Prediction in Six Major Chinese Urban Agglomerations: A Comparative Study of Various Machine Learning Methods Based on Meteorological Data M. Duan et al. 10.3390/atmos14050903
63. Valley city ventilation under the calm and stable weather conditions: A review S. Wu et al. 10.1016/j.buildenv.2021.107668
64. Impact of emissions from a single urban source on air quality estimated from mobile observation and WRF-STILT model simulations H. Fan et al. 10.1007/s11869-021-01023-9
65. Winter-autumn air pollution control plan in North China modified the PM2.5 compositions and sources in Central China S. Jiang et al. 10.1016/j.atmosenv.2023.119827
66. Characteristics and sources of carbonaceous aerosols in a semi-arid city: Quantifying anthropogenic and meteorological impacts P. Liu et al. 10.1016/j.chemosphere.2023.139056
67. Different variations in PM2.5 sources and their specific health risks in different periods in a heavily polluted area of the Beijing-Tianjin-Hebei region of China J. Li et al. 10.1016/j.atmosres.2024.107519
68. Efficient data preprocessing, episode classification, and source apportionment of particle number concentrations C. Liang et al. 10.1016/j.scitotenv.2020.140923
69. Ratio of PM2.5 to PM10 Mass Concentrations in Beijing and Relationships with Pollution from the North China Plain Z. Li et al. 10.1007/s13143-020-00203-4
70. Thermodynamic Modeling Suggests Declines in Water Uptake and Acidity of Inorganic Aerosols in Beijing Winter Haze Events during 2014/2015–2018/2019 S. Song et al. 10.1021/acs.estlett.9b00621
71. Observation of black carbon in Northern China in winter of 2018–2020 and its implications for black carbon mitigation Y. Wang et al. 10.1016/j.scitotenv.2023.162897
72. Characteristics of PM2.5 Chemical Species in 23 Chinese Cities Identified Using a Vehicular Platform H. Chen et al. 10.3390/su16062340
73. Anthropogenic factors of PM2.5 distributions in China’s major urban agglomerations: A spatial-temporal analysis X. Liu et al. 10.1016/j.jclepro.2020.121709
74. Characteristics of PM2.5 and secondary inorganic pollution formation during the heating season of 2021 in Beijing J. Wang et al. 10.3389/fenvs.2022.1028468
75. Variation in black carbon concentration and aerosol optical properties in Beijing: Role of emission control and meteorological transport variability Y. Xia et al. 10.1016/j.chemosphere.2020.126849
76. Does Ambient Secondary Conversion or the Prolonged Fast Conversion in Combustion Plumes Cause Severe PM2.5 Air Pollution in China? Y. Shen et al. 10.3390/atmos13050673
77. Estimating the impact of ground ozone concentrations on crop yields across China from 2014 to 2018: A multi-model comparison M. Xu et al. 10.1016/j.envpol.2021.117099
78. Application of ADMS-Urban for an area with a high contribution of residential heating emissions - model verification and sensitivity study for PM2.5 P. Porwisiak et al. 10.1016/j.scitotenv.2023.168011
79. Elucidating the pollution characteristics of nitrate, sulfate and ammonium in PM<sub>2.5</sub> in Chengdu, southwest China, based on 3-year measurements L. Kong et al. 10.5194/acp-20-11181-2020
80. Multi-Scale Effects of Meteorological Conditions and Anthropogenic Emissions on PM2.5 Concentrations over Major Cities of the Yellow River Basin J. Zhang et al. 10.3390/ijerph192215060
81. Investigating the characteristics and source analyses of PM2.5 seasonal variations in Chengdu, Southwest China L. Kong et al. 10.1016/j.chemosphere.2019.125267
82. Foreign tourists’ experiences under air pollution: Evidence from big data Y. Yang et al. 10.1016/j.tourman.2021.104423
83. Temporal variations of six ambient criteria air pollutants from 2015 to 2018, their spatial distributions, health risks and relationships with socioeconomic factors during 2018 in China F. Shen et al. 10.1016/j.envint.2020.105556
84. Investigating the impacts of coal-fired power plants on ambient PM2.5 by a combination of a chemical transport model and receptor model X. Chen et al. 10.1016/j.scitotenv.2020.138407
85. Haze pollution under a high atmospheric oxidization capacity in summer in Beijing: insights into formation mechanism of atmospheric physicochemical processes D. Zhao et al. 10.5194/acp-20-4575-2020
86. High-spatial-resolution distributions of aerosol chemical characteristics in urban Lanzhou, western China, during wintertime: Insights from an on-road mobile aerosol mass spectrometry measurement experiment X. Zhang et al. 10.1016/j.scitotenv.2022.153069
87. Effect of source variation on the size and mixing state of black carbon aerosol in urban Beijing from 2013 to 2019: Implication on light absorption Y. Wu et al. 10.1016/j.envpol.2020.116089
88. Prediction and Source Contribution Analysis of PM2.5 Using a Combined FLEXPART Model and Bayesian Method over the Beijing-Tianjin-Hebei Region in China L. Guo et al. 10.3390/atmos12070860
89. PM2.5 Pollution in Six Major Chinese Urban Agglomerations: Spatiotemporal Variations, Health Impacts, and the Relationships with Meteorological Conditions Z. Li et al. 10.3390/atmos13101696
90. The control of anthropogenic emissions contributed to 80 % of the decrease in PM2.5 concentrations in Beijing from 2013 to 2017 Z. Chen et al. 10.5194/acp-19-13519-2019
91. Regional PM2.5 pollution confined by atmospheric internal boundaries in the North China Plain: Analysis based on surface observations X. Jin et al. 10.1016/j.scitotenv.2022.156728
92. Unveiling the health impacts of air pollution transport in China D. Ding et al. 10.1016/j.envint.2024.108947
93. Air pollutant spatiotemporal evolution characteristics and effects on human health in North China C. Xu et al. 10.1016/j.chemosphere.2022.133814
94. Temporally resolved sectoral and regional contributions to air pollution in Beijing: informing short-term emission controls T. Ansari et al. 10.5194/acp-21-4471-2021
95. Comparative Assessment of the Impact of COVID-19 Lockdown on Air Quality: A Multinational Study of SARS-CoV-2 Hotspots A. Ould Boudia et al. 10.3390/ijerph21091171
96. Measurement report: The 10-year trend of PM2.5 major components and source tracers from 2008 to 2017 in an urban site of Hong Kong, China W. Chow et al. 10.5194/acp-22-11557-2022
97. Variation in PM2.5 sources in central North China Plain during 2017–2019: Response to mitigation strategies J. Li et al. 10.1016/j.jenvman.2021.112370
98. Evaluating the meteorological normalized PM2.5 trend (2014–2019) in the “2+26” region of China using an ensemble learning technique L. Qu et al. 10.1016/j.envpol.2020.115346
99. Assessing local emission for air pollution via data experiments Y. Zhu et al. 10.1016/j.atmosenv.2021.118323