105 citations as recorded by crossref.

1. Measurement report: Receptor modeling for source identification of urban fine and coarse particulate matter using hourly elemental composition M. Reizer et al. 10.5194/acp-21-14471-2021
2. Tracer-based characterization of source variations of PM2.5 and organic carbon in Shanghai influenced by the COVID-19 lockdown S. Zhu et al. 10.1039/D0FD00091D
3. Highly time-resolved measurements of element concentrations in PM<sub>10</sub> and PM<sub>2.5</sub>: comparison of Delhi, Beijing, London, and Krakow P. Rai et al. 10.5194/acp-21-717-2021
4. Sources and processes of iron aerosols in a megacity in Eastern China Y. Zhu et al. 10.5194/acp-22-2191-2022
5. Evaluating long-term reductions in trace metal emissions from shipping in Shanghai M. Wang et al. 10.1016/j.jhazmat.2024.136367
6. Characteristics and Sources of Hourly Trace Elements in Airborne Fine Particles in Urban Beijing, China Y. Cui et al. 10.1029/2019JD030881
7. Puzzling Haze Events in China During the Coronavirus (COVID‐19) Shutdown Y. Chang et al. 10.1029/2020GL088533
8. Source-specific health risks induced by PM2.5-bound metallic species under different pollution scenarios in a cold megacity of Northeast China X. Sun et al. 10.1016/j.uclim.2022.101205
9. Roles of Regional Transport and Vertical Mixing in Aerosol Pollution in Shanghai Over the COVID‐19 Lockdown Period Observed Above Urban Canopy Z. Song et al. 10.1029/2023JD038540
10. High time-resolution and time-integrated measurements of particulate metals and elements in an environmental justice community within the Los Angeles Basin: Spatio-temporal trends and source apportionment S. Hasheminassab et al. 10.1016/j.aeaoa.2020.100089
11. Evaluating health risks of PM2.5-bound heavy elements in Faridabad, Haryana (India): an industrial perspective N. Yadav et al. 10.1007/s10661-024-13317-3
12. Effectively controlling hazardous airborne elements: Insights from continuous hourly observations during the seasons with the most unfavorable meteorological conditions after the implementation of the APPCAP X. Yang et al. 10.1016/j.jhazmat.2019.121710
13. Source apportionment of fine PM by combining high time resolution organic and inorganic chemical composition datasets C. Belis et al. 10.1016/j.aeaoa.2019.100046
14. High-resolution temporal metallic elements in PM2.5 in Chengdu, Southwest China: variations, extreme events, and effects of meteorological parameters Q. Jin et al. 10.1007/s11869-021-01065-z
15. Seasonal variability of trace elements in fine particulate matter (PM2.5) in a coastal city of northern Poland – profile analysis and source identification P. Siudek 10.1039/D0EM00031K
16. Elemental Characteristics and Source-Apportionment of PM2.5 During the Post-monsoon Season in Delhi, India V. Bangar et al. 10.3389/frsc.2021.648551
17. 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
18. PM2.5 source apportionment identified with total and soluble elements in positive matrix factorization W. Li et al. 10.1016/j.scitotenv.2022.159948
19. Mitigated PM2.5Changes by the Regional Transport During the COVID‐19 Lockdown in Shanghai, China Y. Gu et al. 10.1029/2021GL092395
20. 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
21. Effects of cleaner ship fuels on air quality and implications for future policy: A case study of Chongming Ecological Island in China Z. Zou et al. 10.1016/j.jclepro.2020.122088
22. 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
23. Real-time measurement and source apportionment of elements in Delhi's atmosphere P. Rai et al. 10.1016/j.scitotenv.2020.140332
24. Reduction in vehicular emissions attributable to the Covid-19 lockdown in Shanghai: insights from 5 years of monitoring-based machine learning M. Wang et al. 10.5194/acp-23-10313-2023
25. The impact of household air cleaners on the chemical composition and children's exposure to PM2.5 metal sources in suburban Shanghai C. Brehmer et al. 10.1016/j.envpol.2019.07.003
26. Co-benefits of reducing PM2.5 and improving visibility by COVID-19 lockdown in Wuhan L. Yao et al. 10.1038/s41612-021-00195-6
27. Characterization of aerosol particles containing trace elements (Ga, As, Rb, Mo, Cd, Cs, Tl, and others) and their atmospheric concentrations with a high temporal resolution T. Kinase et al. 10.1016/j.atmosenv.2022.119360
28. Identification of priority pollutants at an integrated iron and steel facility based on environmental and health impacts in the Yangtze River Delta region, China H. Ren et al. 10.1016/j.ecoenv.2023.115464
29. Ammonia Emissions from Mudflats of River, Lake, and Sea Y. Chang et al. 10.1021/acsearthspacechem.0c00017
30. Elemental Composition and Sources of Fine Particulate Matter (PM2.5) in Delhi, India S. Sharma & T. Mandal 10.1007/s00128-023-03707-7
31. Investigating the PM2.5 mass concentration growth processes during 2013–2016 in Beijing and Shanghai J. Sun et al. 10.1016/j.chemosphere.2018.12.200
32. High time-resolved PM2.5 composition and sources at an urban site in Yangtze River Delta, China after the implementation of the APPCAP Y. Yu et al. 10.1016/j.chemosphere.2020.127746
33. Real-time quantification and source apportionment of fine particulate matter including organics and elements in Delhi during summertime A. Shukla et al. 10.1016/j.atmosenv.2021.118598
34. PM2.5 elements at an urban site in Yangtze River Delta, China: High time-resolved measurement and the application in source apportionment Y. Yu et al. 10.1016/j.envpol.2019.07.096
35. 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
36. 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
37. In-depth characterization of particulate matter in a highly polluted urban environment at the foothills of Himalaya–Karakorum Region B. Zeb et al. 10.1007/s11356-024-33487-4
38. Multiple-Year Changes (2014–2018) in Particulate Vanadium Linked to Shipping Regulations in the World’s Largest Port Region K. Cheng et al. 10.1021/acsearthspacechem.1c00402
39. A novel calibration method for continuous airborne metal measurements: Implications for aerosol source apportionment Y. Zhu et al. 10.1016/j.scitotenv.2023.168274
40. Source apportionment of PM<sub>2.5</sub> in Shanghai based on hourly organic molecular markers and other source tracers R. Li et al. 10.5194/acp-20-12047-2020
41. Process-Based Isolation of Pyrogenic Ammonia in Urban Atmosphere and Implications for Ammonium Nitrate Control Y. Feng et al. 10.1021/acsearthspacechem.2c00372
42. Extrapolation of anthropogenic disturbances on hazard elements in PM2.5 in a typical heavy industrial city in northwest China B. Zhou et al. 10.1007/s11356-022-20184-3
43. Characteristics and health risk assessments of fine particulate matter at the overground and underground subway sites in Chengdu S. Huang et al. 10.1016/j.buildenv.2023.110577
44. A hybrid methodology to quantitatively identify inorganic aerosol of PM2.5 source contribution Y. Chen et al. 10.1016/j.jhazmat.2021.128173
45. Quantifying the pollution changes and meteorological dependence of airborne trace elements coupling source apportionment and machine learning H. Wang et al. 10.1016/j.scitotenv.2024.174452
46. Asymmetric trends in sulfates, nitrates, and ammonium in PM2.5 of Chengdu: Insights from five years of hourly observations Q. Jin et al. 10.1016/j.uclim.2024.102190
47. Health risk-oriented source apportionment of PM2.5-associated trace metals J. Xie et al. 10.1016/j.envpol.2020.114655
48. Unveiling the elemental composition, sources and health impacts of PM10 over the central Indo-Gangetic plain (IGP) of India P. Tiwari et al. 10.1016/j.pce.2024.103752
49. Insight Study of Trace Elements in PM2.5 During Nine Years in Delhi, India: Seasonal Variation, Source Apportionment, and Health Risks Assessment S. Gupta et al. 10.1007/s00244-024-01070-0
50. Enhanced natural releases of mercury in response to the reduction in anthropogenic emissions during the COVID-19 lockdown by explainable machine learning X. Qin et al. 10.5194/acp-22-15851-2022
51. Characteristics and sources of PM2.5-bound elements in Shanghai during autumn and winter of 2019: Insight into the development of pollution episodes Y. Chen et al. 10.1016/j.scitotenv.2023.163432
52. 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
53. High contribution of non-exhaust emission to health risk of PM2.5-bound toxic metals in an urban atmosphere in south China W. Huang et al. 10.1016/j.atmosenv.2023.119824
54. Life-Course Health Risk Assessment of PM2.5 Elements in China: Exposure Disparities by Species, Source, Age, Gender, and Location K. Cheng et al. 10.1021/acs.est.3c05404
55. Assessing Contributions of Agricultural and Nonagricultural Emissions to Atmospheric Ammonia in a Chinese Megacity Y. Chang et al. 10.1021/acs.est.8b05984
56. Sources appointment and health risks of PM2.5-bound trace elements in a coastal city of southeastern China Z. Lin et al. 10.1016/j.jes.2023.03.009
57. High time-resolution source apportionment and health risk assessment for PM2.5-bound elements at an industrial city in northwest China S. Liu et al. 10.1016/j.scitotenv.2023.161907
58. The important role of nitrate in iron and manganese dissolution and sulfate formation in fine particles at a coastal site in Northern China X. Gao et al. 10.1016/j.scitotenv.2024.170318
59. Substantial changes in gaseous pollutants and chemical compositions in fine particles in the North China Plain during the COVID-19 lockdown period: anthropogenic vs. meteorological influences R. Li et al. 10.5194/acp-21-8677-2021
60. 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
61. Vehicle exhausts contribute high near-UV absorption through carbonaceous aerosol during winter in a fast-growing city of Sichuan Basin, China S. Liu et al. 10.1016/j.envpol.2022.119966
62. Health assessment of emerging persistent organic pollutants (POPs) in PM2.5 in northern and central Taiwan S. Amani Room et al. 10.1016/j.chemosphere.2024.141573
63. Interactions between rainfall and fine particulate matter investigated by simultaneous chemical composition measurements in downtown Beijing B. Gao et al. 10.1016/j.atmosenv.2019.117000
64. Characteristics, sources, and health risks of PM2.5-bound trace metals in northern Zhejiang Province: The effects of meteorological variables based on machine learning F. Zhang et al. 10.1016/j.jclepro.2024.142089
65. In situ continuous observation of hourly elements in PM2.5 in urban beijing, China: Occurrence levels, temporal variation, potential source regions and health risks Y. Cui et al. 10.1016/j.atmosenv.2019.117164
66. Highly time-resolved measurements of elements in PM2.5 in Changzhou, China: Temporal variation, source identification and health risks Y. Yi et al. 10.1016/j.scitotenv.2022.158450
67. Spatio-temporal variation of C-PM2.5 (composition based PM2.5) sources using PMF*PMF (double-PMF) and single-combined PMF technique on real-time non-refractory, BC and elemental measurements during post-monsoon and winter at two sites in Delhi, India A. Shukla et al. 10.1016/j.atmosenv.2022.119456
68. Highly Time-Resolved Measurements of Elements in Pm2.5 in Changzhou, China: Temporal Variation, Source Identification and Health Risks L. Li 10.2139/ssrn.4135119
69. Source-specific health risk assessment of PM2.5-bound heavy metals based on high time-resolved measurement in a Chinese megacity: insights into seasonal and diurnal variations R. Chen et al. 10.1016/j.ecoenv.2021.112167
70. Aerosol-into-liquid capture and detection of atmospheric soluble metals across the gas–liquid interface using Janus-membrane electrodes Y. Zhao et al. 10.1073/pnas.2219388120
71. Evaluation of the effect of Global Sulfur Cap 2020 on a Japanese inland sea area M. Tauchi et al. 10.1016/j.cstp.2022.02.006
72. Short- and long-term impacts of the COVID-19 epidemic on urban PM2.5 variations: Evidence from a megacity, Chengdu Q. Jin et al. 10.1016/j.atmosenv.2022.119479
73. Spatiotemporal variations and source apportionment of metals in atmospheric particulate matter in Beijing and its surrounding areas W. Lei et al. 10.1016/j.apr.2021.101213
74. Year-long evaluation of aerosol chemistry and meteorological implications of PM2.5 in an urban area of the Brahmaputra Valley, India S. Rabha et al. 10.1039/D2EA00120A
75. Environmental and health benefits of establishing a coal banning area in the Beijing-Tianjin-Hebei region of China R. Si et al. 10.1016/j.atmosenv.2021.118191
76. Source Apportionment and Health Risk Assessment of Metal Elements in PM2.5 in Central Liaoning’s Urban Agglomeration Q. Guo et al. 10.3390/atmos12060667
77. Estimating elemental composition of personal PM2.5 by a modeling approach in two megacities, China N. Li et al. 10.1016/j.scitotenv.2023.164751
78. Characterisation and Risk Assessment of Metal Contaminants in the Dust Fall in the Vicinity of a Construction Waste Dump in Beijing L. Wang et al. 10.3390/ijerph192013019
79. A comprehensive examination of temporal-seasonal variations of PM1.0 and PM2.5 in taiwan before and during the COVID-19 lockdown S. Room et al. 10.1007/s11356-024-33174-4
80. Simulation of airborne trace metals in fine particulate matter over North America J. Xu et al. 10.1016/j.atmosenv.2019.116883
81. Trace gases and PM2.5-bound metal abundance over a tropical urban environment, South India A. M et al. 10.1007/s10874-021-09420-1
82. High fraction of soluble trace metals in fine particles under heavy haze in central China M. Liu et al. 10.1016/j.scitotenv.2022.156771
83. PM2.5-bound elements in Hebei Province, China: Pollution levels, source apportionment and health risks X. Li et al. 10.1016/j.scitotenv.2021.150440
84. Increased contribution to PM2.5 from traffic-influenced road dust in Shanghai over recent years and predictable future M. Wang et al. 10.1016/j.envpol.2022.120119
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