151 citations as recorded by crossref.

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14. Impact of Inter-Annual Variation in Meteorology from 2010 to 2019 on the Inter-City Transport of PM2.5 in the Beijing–Tianjin–Hebei Region D. Chen et al. 10.3390/su14106210
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19. Mass and number concentration distribution of marine aerosol in the Western Pacific and the influence of continental transport Y. Ma et al. 10.1016/j.envpol.2022.118827
20. 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
21. Spatiotemporal variations and mechanism of PM2.5 pollution in urban area: The case of Guiyang, Guizhou, China S. Li et al. 10.1016/j.jenvman.2023.118030
22. Temporal and Spatial Heterogeneity of PM2.5 Related to Meteorological and Socioeconomic Factors across China during 2000–2018 X. Zhang & C. Cheng 10.3390/ijerph19020707
23. Regulation of Synoptic Circulation in Regional PM2.5 Transport for Heavy Air Pollution: Study of 5‐year Observation Over Central China W. Hu et al. 10.1029/2021JD035937
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25. Influence of Meteorological Factors and Chemical Processes on the Explosive Growth of PM2.5 in Shanghai, China W. Sun et al. 10.3390/atmos13071068
26. Temporal variations of ambient air pollutants and meteorological influences on their concentrations in Tehran during 2012–2017 F. Yousefian et al. 10.1038/s41598-019-56578-6
27. Urban and suburban decadal variations in air pollution of Beijing and its meteorological drivers X. Yang et al. 10.1016/j.envint.2023.108301
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29. The estimation of hourly PM2.5 concentrations across China based on a Spatial and Temporal Weighted Continuous Deep Neural Network (STWC-DNN) Z. Wang et al. 10.1016/j.isprsjprs.2022.05.011
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32. Clarifying Relationship between PM2.5 Concentrations and Spatiotemporal Predictors Using Multi-Way Partial Dependence Plots H. Shi et al. 10.3390/rs15020358
33. An exploration of meteorological effects on PM2.5 air quality in several provinces and cities in Vietnam G. Nguyen et al. 10.1016/j.jes.2023.07.020
34. To what extent can the below-cloud washout effect influence the PM2.5? A combined observational and modeling study X. Lu et al. 10.1016/j.envpol.2019.04.061
35. Aerosol‐Radiation Interactions in China in Winter: Competing Effects of Reduced Shortwave Radiation and Cloud‐Snowfall‐Albedo Feedbacks Under Rapidly Changing Emissions J. Moch et al. 10.1029/2021JD035442
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37. Ground ozone variations at an urban and a rural station in Beijing from 2006 to 2017: Trend, meteorological influences and formation regimes N. Cheng et al. 10.1016/j.jclepro.2019.06.204
38. The control of anthropogenic emissions contributed to 80 % of the decrease in PM<sub>2.5</sub> concentrations in Beijing from 2013 to 2017 Z. Chen et al. 10.5194/acp-19-13519-2019
39. Changes in apparent temperature and PM2.5 around the Beijing–Tianjin megalopolis under greenhouse gas and stratospheric aerosol intervention scenarios J. Wang et al. 10.5194/esd-14-989-2023
40. Exploring the regional pollution characteristics and meteorological formation mechanism of PM2.5 in North China during 2013–2017 M. Li et al. 10.1016/j.envint.2019.105283
41. Fine-Grained Spatiotemporal Analysis of the Impact of Restricting Factories, Motor Vehicles, and Fireworks on Air Pollution M. Yang et al. 10.3390/ijerph17134828
42. Quantifying the scale-dependent relationships of PM2.5 and O3 on meteorological factors and their influencing factors in the Beijing-Tianjin-Hebei region and surrounding areas S. Wu et al. 10.1016/j.envpol.2023.122517
43. Revealing causality in the associations between meteorological variables and air pollutant concentrations . Yuval et al. 10.1016/j.envpol.2024.123526
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46. Ambient relative humidity-dependent obstructive sleep apnea severity in cold season: A case-control study K. Bai et al. 10.1016/j.scitotenv.2022.160586
47. Drivers of PM2.5 in the urban agglomeration on the northern slope of the Tianshan Mountains, China W. Ma et al. 10.1016/j.envpol.2022.119777
48. The application of land use regression model to investigate spatiotemporal variations of PM2.5 in Guangzhou, China: Implications for the public health benefits of PM2.5 reduction Y. Mo et al. 10.1016/j.scitotenv.2021.146305
49. Spatial self-aggregation effects and national division of city-level PM2.5 concentrations in China based on spatio-temporal clustering Z. Chen et al. 10.1016/j.jclepro.2018.10.080
50. Analysis and Modelling of PM2.5 Temporal and Spatial Behaviors in European Cities . Adães & . Pires 10.3390/su11216019
51. Tropospheric ozone and NOx: A review of worldwide variation and meteorological influences D. Nguyen et al. 10.1016/j.eti.2022.102809
52. Evaluation of four meteorological reanalysis datasets for satellite-based PM2.5 retrieval over China C. Zuo et al. 10.1016/j.atmosenv.2023.119795
53. 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
54. Electric vehicle adoption and local PM2.5 reduction: Evidence from China Y. Wu et al. 10.1016/j.jclepro.2023.136508
55. Trends and Source Contribution Characteristics of SO2, NOX, PM10 and PM2.5 Emissions in Sichuan Province from 2013 to 2017 M. He et al. 10.3390/atmos12020189
56. Cross-Tropopause Transport of Surface Pollutants during the Beijing 21 July Deep Convection Event X. Chen et al. 10.1175/JAS-D-21-0115.1
57. 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
58. Analysis of Factors Influencing Air Quality in Different Periods during COVID-19: A Case Study of Tangshan, China W. Wu et al. 10.3390/ijerph20054199
59. Distinct responses of PM2.5 and O3 extremes to persistence of weather conditions in eastern China S. Liu et al. 10.1016/j.atmosenv.2023.119923
60. Nexus between environmental degradation and climate change during the times of global conflict: Evidence from CS-ARDL model S. Singh et al. 10.1016/j.indic.2024.100368
61. Detection of PM2.5 plume movement from IoT ground level monitoring data T. Kanabkaew et al. 10.1016/j.envpol.2019.05.082
62. Satellite-derived PM2.5 concentration trends over Eastern China from 1998 to 2016: Relationships to emissions and meteorological parameters K. Gui et al. 10.1016/j.envpol.2019.01.056
63. The relationship between PM<sub>2.5</sub> and anticyclonic wave activity during summer over the United States Y. Wang et al. 10.5194/acp-22-7575-2022
64. Understanding the inter-city causality and regional transport of atmospheric PM2.5 pollution in winter in the Harbin-Changchun megalopolis in China: A perspective from local and regional B. Li et al. 10.1016/j.envres.2023.115360
65. Characterizing near-ground-layer structure changes during a heavy air pollution episode in a remote urban area of northwest China L. Jin et al. 10.1007/s12517-023-11489-9
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67. Reconsidering the effects of urban form on PM2.5 concentrations: an urban shrinkage perspective J. Sun & T. Zhou 10.1007/s11356-022-25044-8
68. A framework for investigating the air quality variation characteristics based on the monitoring data: Case study for Beijing during 2013–2016 J. Cui et al. 10.1016/j.jes.2019.01.009
69. Distribution and Meteorological Control of PM2.5 and Its Effect on Visibility in Northern Thailand T. Amnuaylojaroen et al. 10.3390/atmos14030538
70. The relationship between short-term PM2.5 exposure and outpatient visits for acne vulgaris in Chongqing, China: a time-series study X. Li et al. 10.1007/s11356-022-20236-8
71. Modelling the effect of local and regional emissions on PM2.5 concentrations in Wuhan, China during the COVID-19 lockdown Y. BAI et al. 10.1016/j.accre.2021.09.013
72. Chemical composition and source apportionment of ambient PM2.5 in a coastal urban area, Northern Poland P. Siudek 10.1016/j.chemosphere.2024.141850
73. Avaliação da influência das condições meteorológicas na concentração de material particulado fino (MP2,5) em Belo Horizonte, MG F. Santos et al. 10.1590/s1413-41522019174045
74. Air stagnation in China: Spatiotemporal variability and differing impact on PM2.5 and O3 during 2013–2018 L. Wang et al. 10.1016/j.scitotenv.2021.152778
75. Using machine learning to quantify drivers of aerosol pollution trend in China from 2015 to 2022 Y. Ji et al. 10.1016/j.apgeochem.2023.105614
76. Spatial Characteristics and Regional Transmission Analysis of PM2.5 Pollution in Northeast China, 2016–2020 C. Fang et al. 10.3390/ijerph182312483
77. Effects of Particulate Matter Education on Self-Care Knowledge Regarding Air Pollution, Symptom Changes, and Indoor Air Quality among Patients with Chronic Obstructive Pulmonary Disease S. Guo et al. 10.3390/ijerph17114103
78. 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
79. Machine Learning Explains Long-Term Trend and Health Risk of Air Pollution during 2015–2022 in a Coastal City in Eastern China Z. Qian et al. 10.3390/toxics11060481
80. 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
81. Assessment Model of the Resilience of Industrial Pollutant Emissions to Urban Atmospheric Systems from the Perspective of Cross-Domain Transmission J. Su et al. 10.1061/JUPDDM.UPENG-4581
82. Geographical and temporal encoding for improving the estimation of PM2.5 concentrations in China using end-to-end gradient boosting N. Yang et al. 10.1016/j.rse.2021.112828
83. 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
84. LCZ method is more effective than traditional LUCC method in interpreting the relationship between urban landscape and atmospheric particles R. Jiang et al. 10.1016/j.scitotenv.2023.161677
85. Influence of pollution control measures on the reduction of black carbon in an urban site of megacity, Tianjin, China based on ground-monitored and MERRA-2 reanalysis data X. Cheng et al. 10.1016/j.scitotenv.2023.169466
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88. An Assessment Framework for Mapping the Air Purification Service of Vegetation at the Regional Scale Y. Liu et al. 10.3390/f15020391
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95. Air Quality Index Prediction in Six Major Chinese Urban Agglomerations: A Comparative Study of Single Machine Learning Model, Ensemble Model, and Hybrid Model B. Zhang et al. 10.3390/atmos14101478
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100. Joint effect of heatwaves and air quality on emergency department attendances for vulnerable population in Perth, Western Australia, 2006 to 2015 D. Patel et al. 10.1016/j.envres.2019.04.013
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108. Quantifying the Spatiotemporal Heterogeneity of PM2.5 Pollution and Its Determinants in 273 Cities in China L. Yang et al. 10.3390/ijerph20021183
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121. Dominant role of emission reduction in PM<sub>2.5</sub> air quality improvement in Beijing during 2013–2017: a model-based decomposition analysis J. Cheng et al. 10.5194/acp-19-6125-2019
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