80 citations as recorded by crossref.

1. Airborne particulate matter in Southeast Asia: a review on variation, chemical compositions and source apportionment S. Saksakulkrai et al. 10.1071/EN22044
2. Ensemble source apportionment of air pollutants and carbon dioxide based on online measurements Z. Wang et al. 10.1016/j.jclepro.2022.133468
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. Features of Temporal Variability of the Concentrations of Gaseous Trace Pollutants in the Air of the Urban and Rural Areas in the Southern Baikal Region (East Siberia, Russia) M. Shikhovtsev et al. 10.3390/app14188327
6. Research Progress of HP Characteristics, Hazards, Control Technologies, and Measures in China after 2013 T. Wei & L. Wang 10.3390/atmos10120767
7. 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
8. 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
9. 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
10. 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
11. 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
12. 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
13. High-spatiotemporal-resolution mapping of PM2.5 traffic source impacts integrating machine learning and source-specific multipollutant indicator L. Lv et al. 10.1016/j.envint.2024.108421
14. 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
15. High-time resolution PM2.5 source apportionment assisted by spectrum-based characteristics analysis J. Liu et al. 10.1016/j.scitotenv.2023.169055
16. 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
17. Dynamic harmonization of source-oriented and receptor models for source apportionment X. Zhang et al. 10.1016/j.scitotenv.2022.160312
18. Effects of China’s current Air Pollution Prevention and Control Action Plan on air pollution patterns, health risks and mortalities in Beijing 2014–2018 K. Maji et al. 10.1016/j.chemosphere.2020.127572
19. Reapportioning the sources of secondary components of PM2.5: A combined application of positive matrix factorization and isotopic evidence Z. Sun et al. 10.1016/j.scitotenv.2020.142925
20. 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
21. The impact of short-lived climate pollutants on the human health N. Mathew et al. 10.1016/j.epm.2024.04.001
22. Development and application of a mass closure PM<sub>2.5</sub> composition online monitoring system C. Su et al. 10.5194/amt-13-5407-2020
23. 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
24. 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
25. 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
26. Molecular Characterization of Water‐Soluble Brown Carbon Chromophores in Beijing, China C. Yan et al. 10.1029/2019JD032018
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. 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
34. 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
35. Air Pollution Assessment in China: A Novel Group Multiple Criteria Decision Making Model under Uncertain Information A. Hadi-Vencheh et al. 10.3390/su13041686
36. 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
37. The response of daytime nitrate formation to source emissions reduction based on chemical kinetic and thermodynamic model Y. Wei et al. 10.1016/j.scitotenv.2024.176002
38. 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
39. Significant Contribution of Primary Sources to Water-Soluble Organic Carbon During Spring in Beijing, China Y. Jin et al. 10.3390/atmos11040395
40. Characteristics of PM2.5 Chemical Species in 23 Chinese Cities Identified Using a Vehicular Platform H. Chen et al. 10.3390/su16062340
41. 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
42. Major source categories of PM2.5 oxidative potential in wintertime Beijing and surroundings based on online dithiothreitol-based field measurements R. Cheung et al. 10.1016/j.scitotenv.2024.172345
43. Aerosol Iron from Metal Production as a Secondary Source of Bioaccessible Iron A. Ito & T. Miyakawa 10.1021/acs.est.2c06472
44. High time resolution quantification of PM2.5 oxidative potential at a Central London roadside supersite S. Campbell et al. 10.1016/j.envint.2024.109102
45. Source apportionment and health-risk assessment of PM2.5-bound elements in indoor/outdoor residential buildings in Chinese megacities W. Ji et al. 10.1016/j.buildenv.2024.112250
46. 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
47. 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
48. 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
49. 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
50. 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
51. 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
52. Secondary aerosol formation in winter haze over the Beijing-Tianjin-Hebei Region, China D. Shang et al. 10.1007/s11783-020-1326-x
53. Associations between atmospheric PM2.5 exposure and carcinogenic health risks: Surveillance data from the year of lowest recorded levels in Beijing, China Q. Liu et al. 10.1016/j.envpol.2024.124176
54. Understanding sources of fine particulate matter in China M. Zheng et al. 10.1098/rsta.2019.0325
55. 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
56. Current Status, Characteristics and Causes of Particulate Air Pollution in the Fenwei Plain, China: A Review J. Cao & L. Cui 10.1029/2020JD034472
57. 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
58. 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
59. 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
60. 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
61. 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
62. 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
63. More mileage in reducing urban air pollution from road traffic R. Harrison et al. 10.1016/j.envint.2020.106329
64. 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
65. Dominant contribution of combustion-related ammonium during haze pollution in Beijing L. Wu et al. 10.1016/j.scib.2024.01.002
66. 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
67. 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
68. Estimated contribution of vehicular emissions to carbonaceous aerosols in urban Beijing, China Y. Cui et al. 10.1016/j.atmosres.2020.105153
69. 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
70. The Relationship of Aerosol Properties and Ice‐Nucleating Particle Concentrations in Beijing Y. Ren et al. 10.1029/2022JD037383
71. 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
72. 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
73. 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
74. 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
75. 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
76. 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
77. 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
78. 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
79. 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
80. 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