74 citations as recorded by crossref.

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3. 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
4. Insights into characteristics, source variation, and health risks mitigation of airborne heavy metal(loid)s in Shanghai during China International Import Expo H. Jia et al. 10.1016/j.uclim.2022.101193
5. Research Progress of HP Characteristics, Hazards, Control Technologies, and Measures in China after 2013 T. Wei & L. Wang 10.3390/atmos10120767
6. Simultaneous measurements of urban and rural particles in Beijing – Part 1: Chemical composition and mixing state Y. Chen et al. 10.5194/acp-20-9231-2020
7. Impact of COVID-19 lockdown on the optical properties and radiative effects of urban brown carbon aerosol Y. Zhang et al. 10.1016/j.gsf.2021.101320
8. 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
9. Impact of Formation Pathways on Secondary Inorganic Aerosol During Haze Pollution in Beijing: Quantitative Evidence From High‐Resolution Observation and Modeling J. Gao et al. 10.1029/2021GL095623
10. New insights into the formation of ammonium nitrate from a physical and chemical level perspective Y. Wei et al. 10.1007/s11783-023-1737-6
11. Levels and sources of hourly PM2.5-related elements during the control period of the COVID-19 pandemic at a rural site between Beijing and Tianjin Y. Cui et al. 10.1016/j.scitotenv.2020.140840
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13. Source apportionment of highly time-resolved elements during a firework episode from a rural freeway site in Switzerland P. Rai et al. 10.5194/acp-20-1657-2020
14. High-time resolution PM2.5 source apportionment assisted by spectrum-based characteristics analysis J. Liu et al. 10.1016/j.scitotenv.2023.169055
15. Quantifying anthropogenic emission of iron in marine aerosol in the Northwest Pacific with shipborne online measurements T. Zhang et al. 10.1016/j.scitotenv.2023.169158
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19. Short-Term Effects of Primary and Secondary Particulate Matter on Ceramide Metabolism, Pro-Inflammatory Response, and Blood Coagulation B. Zhang et al. 10.3390/toxics12030225
20. The impact of short-lived climate pollutants on the human health N. Mathew et al. 10.1016/j.epm.2024.04.001
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22. Chemical characteristics and sources of nitrogen-containing organic compounds at a regional site in the North China Plain during the transition period of autumn and winter M. Wang et al. 10.1016/j.scitotenv.2021.151451
23. Refined source apportionment of residential and industrial fuel combustion in the Beijing based on real-world source profiles M. Cui et al. 10.1016/j.scitotenv.2022.154101
24. Metrological traceable calibration of organic carbon and elemental carbon based on laboratory-generated reference materials Y. Liu et al. 10.1016/j.jes.2023.10.031
25. Molecular Characterization of Water‐Soluble Brown Carbon Chromophores in Beijing, China C. Yan et al. 10.1029/2019JD032018
26. Compositions, Sources, and Aging Processes of Aerosol Particles during Winter Hazes in an Inland Megacity of NW China P. Liu et al. 10.3390/atmos13040521
27. Source apportionment of fine particulate matter at a megacity in China, using an improved regularization supervised PMF model B. Xu et al. 10.1016/j.scitotenv.2023.163198
28. Impacts of COVID‐19 on Black Carbon in Two Representative Regions in China: Insights Based on Online Measurement in Beijing and Tibet Y. Liu et al. 10.1029/2021GL092770
29. Quantifying the impacts of PM2.5 constituents and relative humidity on visibility impairment in a suburban area of eastern Asia using long-term in-situ measurements Y. Ting et al. 10.1016/j.scitotenv.2021.151759
30. Heterogeneous variations in wintertime PM2.5 sources, compositions and exposure risks at urban/suburban rural/remote rural areas in the post COVID-19/Clean-Heating period Z. Li et al. 10.1016/j.atmosenv.2024.120463
31. High Temporal Resolution Land Use Regression Models with POI Characteristics of the PM2.5 Distribution in Beijing, China Y. Zhang et al. 10.3390/ijerph18116143
32. Metrological traceability of black carbon measurement based on optical methods and its challenges in China: A review Y. Liu et al. 10.1016/j.atmosres.2023.106854
33. Source identification of the elemental fraction of particulate matter using size segregated, highly time-resolved data and an optimized source apportionment approach M. Manousakas et al. 10.1016/j.aeaoa.2022.100165
34. Air Pollution Assessment in China: A Novel Group Multiple Criteria Decision Making Model under Uncertain Information A. Hadi-Vencheh et al. 10.3390/su13041686
35. Insight into PM<sub>2.5</sub> sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing D. Srivastava et al. 10.5194/acp-21-14703-2021
36. A fast forecasting method for PM2.5 concentrations based on footprint modeling and emission optimization M. Yu et al. 10.1016/j.atmosenv.2019.117013
37. Significant Contribution of Primary Sources to Water-Soluble Organic Carbon During Spring in Beijing, China Y. Jin et al. 10.3390/atmos11040395
38. Characteristics of PM2.5 Chemical Species in 23 Chinese Cities Identified Using a Vehicular Platform H. Chen et al. 10.3390/su16062340
39. Application of machine learning algorithms to improve numerical simulation prediction of PM2.5 and chemical components L. Lv et al. 10.1016/j.apr.2021.101211
40. Aerosol Iron from Metal Production as a Secondary Source of Bioaccessible Iron A. Ito & T. Miyakawa 10.1021/acs.est.2c06472
41. High-time-resolution chemical composition and source apportionment of PM2.5 in northern Chinese cities: implications for policy Y. Zhang et al. 10.5194/acp-23-9455-2023
42. Source apportionment of PM2.5 during haze episodes in Shanghai by the PMF model with PAHs X. Feng et al. 10.1016/j.jclepro.2021.129850
43. Fast sulfate formation from oxidation of SO2 by NO2 and HONO observed in Beijing haze J. Wang et al. 10.1038/s41467-020-16683-x
44. Simultaneous measurements of urban and rural particles in Beijing – Part 2: Case studies of haze events and regional transport Y. Chen et al. 10.5194/acp-20-9249-2020
45. Variability of PM2.5 and O3 concentrations and their driving forces over Chinese megacities during 2018-2020 T. Xu et al. 10.1016/j.jes.2021.10.014
46. Characteristics and sources of hourly elements in PM10 and PM2.5 during wintertime in Beijing P. Rai et al. 10.1016/j.envpol.2021.116865
47. Secondary aerosol formation in winter haze over the Beijing-Tianjin-Hebei Region, China D. Shang et al. 10.1007/s11783-020-1326-x
48. Understanding sources of fine particulate matter in China M. Zheng et al. 10.1098/rsta.2019.0325
49. Differences in the composition of organic aerosols between winter and summer in Beijing: a study by direct-infusion ultrahigh-resolution mass spectrometry S. Steimer et al. 10.5194/acp-20-13303-2020
50. Current Status, Characteristics and Causes of Particulate Air Pollution in the Fenwei Plain, China: A Review J. Cao & L. Cui 10.1029/2020JD034472
51. Efficient chemiluminescence resonance energy transfer on the interface of europium doped ceria for sulfite detection in PM2.5 Q. Li et al. 10.1016/j.snb.2021.129876
52. Enhanced nitrate contribution during winter haze events in a megacity of Sichuan Basin, China: Formation mechanism and source apportionment T. Song et al. 10.1016/j.jclepro.2022.133272
53. Impacts of dust events on chemical characterization and associated source contributions of atmospheric particulate matter in northern China R. Li et al. 10.1016/j.envpol.2022.120597
54. A comprehensive analysis of the spatio-temporal variation of urban air pollution in China during 2014–2018 H. Fan et al. 10.1016/j.atmosenv.2019.117066
55. Source apportionment and regional transport of PM2.5 during haze episodes in Beijing combined with multiple models L. Lv et al. 10.1016/j.atmosres.2021.105957
56. Chemical Characterization, Source Identification, and Health Risk Assessment of Atmospheric Fine Particulate Matter in Winter in Hangzhou Bay F. Zhang et al. 10.3390/su141912175
57. More mileage in reducing urban air pollution from road traffic R. Harrison et al. 10.1016/j.envint.2020.106329
58. Secondary inorganic aerosol chemistry and its impact on atmospheric visibility over an ammonia-rich urban area in Central Taiwan L. Young et al. 10.1016/j.envpol.2022.119951
59. Dominant contribution of combustion-related ammonium during haze pollution in Beijing L. Wu et al. 10.1016/j.scib.2024.01.002
60. Substantial changes of chemical composition and sources of fine particles during the period of COVID-19 pandemic in Taiyuan, Northern China Y. Wang et al. 10.1007/s11869-021-01082-y
61. High-time-resolution PM2.5 source apportionment based on multi-model with organic tracers in Beijing during haze episodes L. Lv et al. 10.1016/j.scitotenv.2020.144766
62. Estimated contribution of vehicular emissions to carbonaceous aerosols in urban Beijing, China Y. Cui et al. 10.1016/j.atmosres.2020.105153
63. Elucidating drivers of severe wintertime fine particulate matter pollution episodes in the Yangtze River Delta region of eastern China L. Shu et al. 10.1016/j.scitotenv.2023.169546
64. The Relationship of Aerosol Properties and Ice‐Nucleating Particle Concentrations in Beijing Y. Ren et al. 10.1029/2022JD037383
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. Comparison of water-soluble inorganic ions and trace metals in PM2.5 between online and offline measurements in Beijing during winter B. Zhang et al. 10.1016/j.apr.2019.07.007
67. Fine particulate matter (PM2.5/PM1.0) in Beijing, China: Variations and chemical compositions as well as sources L. Luo et al. 10.1016/j.jes.2021.12.014
68. Effects of relative humidity on heterogeneous reaction of SO2 with CaCO3 particles and formation of CaSO4·2H2O crystal as secondary aerosol Y. Yue et al. 10.1016/j.atmosenv.2021.118776
69. A refined source apportionment study of atmospheric PM2.5 during winter heating period in Shijiazhuang, China, using a receptor model coupled with a source-oriented model W. Zhang et al. 10.1016/j.atmosenv.2019.117157
70. An evaluation of source apportionment of fine OC and PM2.5by multiple methods: APHH-Beijing campaigns as a case study J. Xu et al. 10.1039/D0FD00095G
71. Exploring sources and health risks of metals in Beijing PM2.5: Insights from long-term online measurements X. Yang et al. 10.1016/j.scitotenv.2021.151954
72. Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)” Z. Shi et al. 10.5194/acp-19-7519-2019
73. The interplays among meteorology, source, and chemistry in high particulate matter pollution episodes in urban Shanghai, China L. Zeng et al. 10.1016/j.scitotenv.2022.158347
74. Simultaneous measurements of urban and rural particles in Beijing – Part 1: Chemical composition and mixing state Y. Chen et al. 10.5194/acp-20-9231-2020