77 citations as recorded by crossref.

1. Source apportionment of PM2.5 and its chemical components in Hanoi, Vietnam: A comparison of PMF and CMAQ-ISAM approaches H. Le et al. https://doi.org/10.1016/j.envadv.2026.100688
2. Long-term source apportionment of PM2.5 across the contiguous United States (2000-2019) using a multilinear engine model Q. Zhu et al. https://doi.org/10.1016/j.jhazmat.2024.134550
3. Development and application of a mass closure PM2.5 composition online monitoring system C. Su et al. https://doi.org/10.5194/amt-13-5407-2020
4. Substantial reductions in black carbon from both fossil fuels and biomass burning during China’s Clean Air Action J. Liu et al. https://doi.org/10.1073/pnas.2500843122
5. The regional nature of nitrate-dominant haze pollution during autumn over the Pearl River Delta area J. GUO et al. https://doi.org/10.1080/16742834.2020.1740055
6. Tire Wear Chemicals in the Urban Atmosphere: Significant Contributions of Tire Wear Particles to PM2.5 L. Tian et al. https://doi.org/10.1021/acs.est.4c04378
7. Characterization of size-resolved effective density of atmospheric particles in an urban atmosphere in Southern China T. Xie et al. https://doi.org/10.1016/j.jes.2023.09.021
8. Review of in vitro studies evaluating respiratory toxicity of aerosols: impact of cell types, chemical composition, and atmospheric processing S. Salana & V. Verma https://doi.org/10.1039/D4EM00475B
9. Evaluation of a new real-time source apportionment system of PM2.5 and its implication on rapid aging of vehicle exhaust P. Yao et al. https://doi.org/10.1016/j.scitotenv.2024.173449
10. Impacts of uncertainties in emissions on aerosol data assimilation and short-term PM2.5 predictions over Northeast Asia S. Lee et al. https://doi.org/10.1016/j.atmosenv.2021.118921
11. Identifying the key drivers in retrieving blue sky during rapid urbanization in Shenzhen, China X. Peng et al. https://doi.org/10.1016/j.jclepro.2022.131829
12. Nonlinear effects of urban multidimensional characteristics on air pollution heterogeneity in China's urban agglomerations Y. Yang et al. https://doi.org/10.1016/j.jclepro.2025.144813
13. Decisive role of ozone formation control in winter PM2.5 mitigation in Shenzhen, China M. Tang et al. https://doi.org/10.1016/j.envpol.2022.119027
14. Source Apportionment of PM2.5 in Guangzhou Based on an Approach of Combining Positive Matrix Factorization with the Bayesian Mixing Model and Radiocarbon T. Li et al. https://doi.org/10.3390/atmos11050512
15. Sources of oxygenated volatile organic compounds (OVOCs) in urban atmospheres in North and South China X. Huang et al. https://doi.org/10.1016/j.envpol.2020.114152
16. Source Apportionment of PM2.5 in a Chinese Megacity During Special Periods: Unveiling Impacts of COVID-19 and Spring Festival K. Tang et al. https://doi.org/10.3390/atmos16080908
17. Contrast of composition and sources of PM2.5 and PM10 in Shenzhen, China: Revealing key factors on health risks X. Peng et al. https://doi.org/10.1016/j.jenvman.2025.127877
18. Physiochemistry characteristics and sources of submicron aerosols at the background area of North China Plain: Implication of air pollution control in heating season Y. Yan et al. https://doi.org/10.1016/j.atmosres.2020.105291
19. Different roles of primary and secondary sources in reducing PM2.5: Insights from molecular markers in Pearl River Delta, South China K. Yang et al. https://doi.org/10.1016/j.atmosenv.2022.119487
20. How much urban air quality is affected by local emissions: A unique case study from a megacity in the Pearl River Delta, China M. Tang et al. https://doi.org/10.1016/j.atmosenv.2023.119666
21. Coarse particles compensate for missing daytime sources of nitrous acid and enhance atmospheric oxidation capacity in a coastal atmosphere M. Tang et al. https://doi.org/10.1016/j.scitotenv.2024.170037
22. Detecting causal relationships between fine particles and ozone based on observations in four typical cities of China L. Qi et al. https://doi.org/10.1088/1748-9326/ad376d
23. Characteristic Analysis and Health Risk Assessment of PM2.5 and VOCs in Tianjin Based on High-Resolution Online Data Y. Huangfu et al. https://doi.org/10.3390/toxics12090622
24. Seasonal variation characteristics of atmospheric peroxyacetyl nitrate (PAN) and its source apportionment in a megacity in southern China S. Xia et al. https://doi.org/10.1016/j.scitotenv.2023.164662
25. Development of a regional feature selection-based machine learning system (RFSML v1.0) for air pollution forecasting over China L. Fang et al. https://doi.org/10.5194/gmd-15-7791-2022
26. Metal-containing nanoparticles in road dust from a Chinese megacity over the last decade: Spatiotemporal variation and driving factors B. Peng et al. https://doi.org/10.1016/j.jhazmat.2024.134970
27. Machine-Learning Source Apportionment of Particulate Pollution Aids Urban Emission Regulations X. Peng et al. https://doi.org/10.1021/acs.est.5c14501
28. Sources of atmospheric oxygenated volatile organic compounds in different air masses in Shenzhen, China Z. Li et al. https://doi.org/10.1016/j.envpol.2023.122871
29. Influence of ship emissions on PM2.5 in Shanghai: From COVID19 to OMICRON22 lockdown episodes Y. Duan et al. https://doi.org/10.1016/j.atmosenv.2023.120112
30. Elucidating pollution characteristics, temporal variation and source origins of carbonaceous species in Xinxiang, a heavily polluted city in North China H. Liu et al. https://doi.org/10.1016/j.atmosenv.2023.119626
31. Source apportionment of fine secondary inorganic aerosol over the Pearl River Delta region using a hybrid method W. Chen et al. https://doi.org/10.1016/j.apr.2021.101061
32. Exploring efficient strategies for air quality improvement in China based on its regional characteristics and interannual evolution of PM2.5 pollution X. Geng et al. https://doi.org/10.1016/j.envres.2024.119009
33. The oxidative potential of fine ambient particulate matter in Xinxiang, North China: Pollution characteristics, source identification and regional transport H. Liu et al. https://doi.org/10.1016/j.envpol.2024.124615
34. Increased PM2.5 Caused by Enhanced Fireworks Burning and Secondary Aerosols in a Forested City of North China During the 2023–2025 Spring Festivals Q. Ma et al. https://doi.org/10.3390/toxics13121009
35. Exploring the chemical composition and processes of submicron aerosols in Delhi using aerosol chemical speciation monitor driven factor analysis U. Panda et al. https://doi.org/10.1038/s41598-025-99245-9
36. Fine Particulate Pollution Driven by Nitrogen Dioxide and Ozone in the Moisture Urban Atmospheric Environment in Pearl River Delta Region of South China J. TAO et al. https://doi.org/10.2139/ssrn.4130893
37. Long-term observations of oxygenated volatile organic compounds (OVOCs) in an urban atmosphere in southern China, 2014–2019 S. Xia et al. https://doi.org/10.1016/j.envpol.2020.116301
38. Unexpectedly persistent PM2.5 pollution in the Pearl River Delta, South China, in the 2015–2017 cold seasons: the dominant role of meteorological changes during the El Niño-to-La Niña transition over emission reduction K. Qu et al. https://doi.org/10.5194/acp-25-16983-2025
39. Soil dust as a potential bridge from biogenic volatile organic compounds to secondary organic aerosol in a rural environment D. He et al. https://doi.org/10.1016/j.envpol.2022.118840
40. Source apportionment of carbonaceous aerosols using hourly data and implications for reducing PM2.5 in the Pearl River Delta region of South China J. Huang et al. https://doi.org/10.1016/j.envres.2022.112960
41. Biomass-burning emissions could significantly enhance the atmospheric oxidizing capacity in continental air pollution B. Zhu et al. https://doi.org/10.1016/j.envpol.2021.117523
42. Source apportionment of PM2.5 using PMF combined online bulk and single-particle measurements: Contribution of fireworks and biomass burning Y. Zhang et al. https://doi.org/10.1016/j.jes.2022.12.019
43. Sources, concentrations, and seasonal variations of VOC and aerosol particles in downtown Munich in 2023/2024 Y. Li et al. https://doi.org/10.5194/acp-26-5813-2026
44. Trends and Challenges Regarding the Source-Specific Health Risk of PM2.5-Bound Metals in a Chinese Megacity from 2014 to 2020 R. Yan et al. https://doi.org/10.1021/acs.est.1c06948
45. Measurement report: The importance of biomass burning in light extinction and direct radiative effect of urban aerosol during the COVID-19 lockdown in Xi'an, China J. Tian et al. https://doi.org/10.5194/acp-22-8369-2022
46. Comparative source apportionment of PM2.5 for 2014/2019 at a plateau city: Implications for air quality improvement in high-altitude areas G. Zhang et al. https://doi.org/10.1016/j.apr.2023.101964
47. 基于隧道实验的机动车大气污染物实时排放因子研究 . JIANG Weisi et al. https://doi.org/10.3799/dqkx.2025.170
48. Temporal Source Apportionment of PM2.5 Over the Pearl River Delta Region in Southern China Y. Chen et al. https://doi.org/10.1029/2021JD035271
49. Decoding cold-season PM2.5 and its chemical compositions in China's economic powerhouses after the Chinese COVID-19 pandemic lockdown: A national-scale analysis X. Dao et al. https://doi.org/10.1016/j.jclepro.2025.146902
50. Characteristics of the source apportionment of primary and secondary inorganic PM2.5 in the Pearl River Delta region during 2015 by numerical modeling W. Yang et al. https://doi.org/10.1016/j.envpol.2020.115418
51. 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. https://doi.org/10.1016/j.atmosenv.2020.117817
52. Regional source apportionment of trace metals in fine particulate matter using an observation-constrained hybrid model K. Liao et al. https://doi.org/10.1038/s41612-023-00393-4
53. Sensitivity of atmospheric peroxyacetyl nitrate (PAN) formation and its impact on ozone pollution in a coastal city N. Fu et al. https://doi.org/10.1016/j.atmosenv.2024.120545
54. A time-series analysis of the short-term effects of daily PM2.5 exposure on cause-specific mortality in Mashhad, Iran (2019–2024) M. Kermani et al. https://doi.org/10.1038/s41598-026-48267-y
55. Evaluation of key factors influencing urban ozone pollution in the Pearl River Delta and its atmospheric implications X. Lin et al. https://doi.org/10.1016/j.atmosenv.2023.119807
56. Variations of inhalation risks during different heavy pollution episodes based on 3-year measurement of toxic components in size-segregated particles Q. Xue et al. https://doi.org/10.1016/j.scitotenv.2023.163234
57. Identifying the geospatial relationship of surface ozone pollution in China: Implications for key pollution control regions Y. Cheng et al. https://doi.org/10.1016/j.scitotenv.2024.172763
58. Insight into the characteristics of carbonaceous aerosols at urban and regional sites in the downwind area of Pearl River Delta region, China M. Lu et al. https://doi.org/10.1016/j.scitotenv.2021.146251
59. Elucidating the Chemical Compositions and Source Apportionment of Multi-Size Atmospheric Particulate (PM10, PM2.5 and PM1) in 2019–2020 Winter in Xinxiang, North China H. Liu et al. https://doi.org/10.3390/atmos13091400
60. Sustained PM2.5 decline in Shenzhen confronts emerging challenges: Strengthening regional governance and secondary aerosol mitigation K. Tang et al. https://doi.org/10.1016/j.atmosenv.2025.121437
61. Research Progress of HP Characteristics, Hazards, Control Technologies, and Measures in China after 2013 T. Wei & L. Wang https://doi.org/10.3390/atmos10120767
62. Influence of thermal decomposition and regional transport on atmospheric peroxyacetyl nitrate (PAN) observed in a megacity in southern China S. Xia et al. https://doi.org/10.1016/j.atmosres.2022.106146
63. Acidity and inorganic ion formation in PM2.5 based on continuous online observations in a South China megacity L. Wu et al. https://doi.org/10.1016/j.apr.2020.05.003
64. Nanosized magnetite particles in urban road dust: distribution characteristics and their potential risk Z. Niu et al. https://doi.org/10.1039/D4EN01036A
65. Spatial distribution and source apportionment of peroxyacetyl nitrate (PAN) in a coastal region in southern China S. Xia et al. https://doi.org/10.1016/j.atmosenv.2021.118553
66. Effects of nighttime heterogeneous reactions on the formation of secondary aerosols and ozone in the Pearl River Delta Y. Niu et al. https://doi.org/10.1360/TB-2021-0638
67. Vertical Evolution of Volatile Organic Compounds from Unmanned Aerial Vehicle Measurements in the Pearl River Delta, China M. Tang et al. https://doi.org/10.3390/atmos16080955
68. PM10 source apportionment in a coastal African megacity (Luanda, Angola): A quantitative basis for air quality management A. da Silva et al. https://doi.org/10.1016/j.apr.2026.103077
69. Variations of source-specific risks for inhalable particles-bound PAHs during long-term air pollution controls in a Chinese megacity: Impact of gas/particle partitioning Q. Xue et al. https://doi.org/10.1016/j.atmosenv.2024.120565
70. Characterizing water solubility of fresh and aged secondary organic aerosol in PM2.5 with the stable carbon isotope technique F. Wei et al. https://doi.org/10.5194/acp-24-8507-2024
71. Source and exposure apportionments of ambient PM2.5 under different synoptic patterns in the Pearl River Delta region Y. Chen et al. https://doi.org/10.1016/j.chemosphere.2019.06.236
72. Source apportionment and health-risk assessment of PM2.5-bound elements in indoor/outdoor residential buildings in Chinese megacities W. Ji et al. https://doi.org/10.1016/j.buildenv.2024.112250
73. Microphysical complexity of black carbon particles restricts their warming potential X. Huang et al. https://doi.org/10.1016/j.oneear.2023.12.004
74. Fine Particulate Pollution Driven by Nitrate in the Moisture Urban Atmospheric Environment in Pearl River Delta Region of South China J. TAO et al. https://doi.org/10.2139/ssrn.4178376
75. Particulate matter trends and quantification of the spring sand-dust contribution in Hohhot, Inner Mongolia, from 2013 to 2017 W. Gao et al. https://doi.org/10.1016/j.aosl.2021.100036
76. Estimation and variation analysis of secondary inorganic aerosols across the Greater Bay Area in 2005 and 2015 Y. Chen et al. https://doi.org/10.1016/j.chemosphere.2021.133393
77. Automated compound speciation, cluster analysis, and quantification of organic vapors and aerosols using comprehensive two-dimensional gas chromatography and mass spectrometry X. He et al. https://doi.org/10.5194/acp-24-10655-2024