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Source Apportionment of Fine Particulate Matter by Clustering Single-Particle Data: Tests of Receptor Model Accuracy
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inferredcites →https://doi.org/10.1016/0004-6981(67)90042-xopenalex-snapshot
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inferredcites →https://doi.org/10.1016/0095-0696(74)90005-9openalex-snapshot
A cost-effectiveness analysis of alternative air quality control strategies
inferredcites →https://doi.org/10.1016/0169-7439(93)e0063-aopenalex-snapshot
Adaptive resonance theory based artificial neural networks for treatment of open-category problems in chemical pattern recognition — application to UV-Vis and IR spectroscopy
inferredcites →https://doi.org/10.1016/0169-7439(94)85054-2openalex-snapshot
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inferredcites →https://doi.org/10.1016/1352-2310(96)00085-4openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0003-2670(97)00135-9openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0169-7439(96)00048-2openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0169-7439(97)00006-3openalex-snapshot
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inferredcites →https://doi.org/10.1016/s1352-2310(98)00001-6openalex-snapshot
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inferredcites →https://doi.org/10.1021/ac00081a007openalex-snapshot
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inferredcites →https://doi.org/10.1021/ac970540nopenalex-snapshot
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inferredcites →https://doi.org/10.1021/ac990434gopenalex-snapshot
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inferredcites →https://doi.org/10.1021/es00039a020openalex-snapshot
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inferredcites →https://doi.org/10.1021/es00066a013openalex-snapshot
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inferredcites →https://doi.org/10.1021/es950669jopenalex-snapshot
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inferredcites →https://doi.org/10.1021/es981276yopenalex-snapshot
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inferredcites →https://doi.org/10.1080/00022470.1983.10465674openalex-snapshot
The Use of Computer Controlled Scanning Electron Microscopy in Environmental Studies
inferredcites →https://doi.org/10.1080/00022470.1984.10465780openalex-snapshot
Overview of Receptor Model Principles
inferredcites →https://doi.org/10.1126/science.279.5354.1187openalex-snapshot
Atmospheric Radiocarbon Calibration to 45,000 yr B.P.: Late Glacial Fluctuations and Cosmogenic Isotope Production
inferredcites →https://doi.org/10.1175/1520-0450(1979)018<0761:acoimf>2.0.co;2openalex-snapshot
A Comparison of Interpolation Methods for Sparse Data: Application to Wind and Concentration Fields
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California Institute of Technology
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inferred← citeshttps://doi.org/10.1002/9780470988510.ch6openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/cem.1163openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/int.20094openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/jgrd.50307openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/jms.1262openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/rcm.1509openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00216-011-5438-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10653-015-9745-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10661-014-3880-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11368-025-04176-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11783-011-0355-xopenalex-snapshot
Single particle analysis of ambient aerosols in Shanghai during the World Exposition, 2010: two case studies
inferred← citeshttps://doi.org/10.1007/s11783-026-2163-3openalex-snapshot
Physicochemical properties of traffic-related particles by single-particle analysis
inferred← citeshttps://doi.org/10.1016/j.aca.2006.12.009openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.atmosenv.2004.02.042openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.atmosenv.2007.07.038openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.atmosenv.2007.08.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.atmosenv.2007.10.024openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.atmosenv.2011.03.047openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.atmosenv.2017.08.029openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.atmosenv.2026.122260openalex-snapshot
Augmented Transformer framework for quantification of PM2.5 chemical composition via one-step laser desorption/ionization single particle aerosol mass spectrometry (LDI-SPAMS)
inferred← citeshttps://doi.org/10.1016/j.jaerosci.2004.08.001openalex-snapshot
Aerosol single particle composition at the Jungfraujoch
inferred← citeshttps://doi.org/10.1016/j.jaerosci.2016.04.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jes.2014.03.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jes.2021.07.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jhazmat.2006.10.030openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.scitotenv.2017.03.099openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.172822openalex-snapshot
Single particle mass spectral signatures from on-road and non-road vehicle exhaust particles and their application in refined source apportionment using deep learning
inferred← citeshttps://doi.org/10.1016/s0045-6535(02)00243-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s1044-0305(02)00379-3openalex-snapshot
Chemically-assigned classification of aerosol mass spectra
inferred← citeshttps://doi.org/10.1021/ac030143eopenalex-snapshot
Recent Advances and Some Remaining Challenges in Analytical Chemistry of the Atmosphere
inferred← citeshttps://doi.org/10.1021/es0112700openalex-snapshot
Evaluation of an Air Quality Model for the Size and Composition of Source-Oriented Particle Classes
inferred← citeshttps://doi.org/10.1021/es0489947openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/es049804vopenalex-snapshot
Source Identification of Fine Particles in Washington, DC, by Expanded Factor Analysis Modeling
inferred← citeshttps://doi.org/10.1029/2001jd000660openalex-snapshot
A comparison of particle mass spectrometers during the 1999 Atlanta Supersite Project
inferred← citeshttps://doi.org/10.1029/2009jd013150openalex-snapshot
Aircraft measurements of vertical profiles of aerosol mixing states
inferred← citeshttps://doi.org/10.1029/2018rg000615openalex-snapshot
Aerosol Mixing State: Measurements, Modeling, and Impacts
inferred← citeshttps://doi.org/10.1038/sj.jea.7500298openalex-snapshot
Evaluation of elemental carbon as a marker for diesel particulate matter
inferred← citeshttps://doi.org/10.1063/1.1938607openalex-snapshot
Transportable real-time single-particle ion trap mass spectrometer
inferred← citeshttps://doi.org/10.1080/02786820300971openalex-snapshot
Cluster Analysis of Data from the Particle Analysis by Laser Mass Spectrometry (PALMS) Instrument
inferred← citeshttps://doi.org/10.1080/027868290935696openalex-snapshot
Instrument Characterization and First Application of the Single Particle Analysis and Sizing System (SPASS) for Atmospheric Aerosols
inferred← citeshttps://doi.org/10.1080/10473289.2005.10464606openalex-snapshot
Investigation of Sources of Atmospheric Aerosol at a Hot Spot Area in Dhaka, Bangladesh
inferred← citeshttps://doi.org/10.1089/ees.2008.0055openalex-snapshot
Source Identification of Chittagong Aerosol by Receptor Modeling
inferred← citeshttps://doi.org/10.1146/annurev.anchem.1.031207.113030openalex-snapshot
Analysis of Atmospheric Aerosols
inferred← citeshttps://doi.org/10.1289/ehp.02110s6995openalex-snapshot
Molecular identification of organic compounds in atmospheric complex mixtures and relationship to atmospheric chemistry and sources.
inferred← citeshttps://doi.org/10.3155/1047-3289.60.1.3openalex-snapshot
Review of Recent Advances in Detection of Organic Markers in Fine Particulate Matter and Their Use for Source Apportionment
inferred← citeshttps://doi.org/10.4209/aaqr.2006.10.0021openalex-snapshot
Source Apportionment of Air Particulate Matter by Chemical Mass Balance (CMB) and Comparison with Positive Matrix Factorization (PMF) Model
inferred← citeshttps://doi.org/10.4209/aaqr.2007.09.0040openalex-snapshot
Source Apportionment of Total Suspended Particulate Matter in Coarse and Fine Size Ranges Over Delhi
inferred← citeshttps://doi.org/10.4209/aaqr.2014.10.0250openalex-snapshot
Particulate Matter and Its Source Apportionment in Peshawar, Northern Pakistan
inferred← citeshttps://doi.org/10.5194/acp-13-9479-2013openalex-snapshot
Quantitative determination of carbonaceous particle mixing state in Paris using single-particle mass spectrometer and aerosol mass spectrometer measurements
inferred← citeshttps://doi.org/10.5194/acp-15-8217-2015openalex-snapshot
Particulate matter, air quality and climate: lessons learned and future needs
inferred← citeshttps://doi.org/10.5194/acp-17-6975-2017openalex-snapshot
Sources and mixing state of summertime background aerosol in the north-western Mediterranean basin
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