36 citations as recorded by crossref.

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13. Quantifying Source Apportionment, Co-occurrence, and Ecotoxicological Risk of Metals from Upstream, Lower Midstream, and Downstream River Segments, Bangladesh A. Towfiqul Islam et al. 10.1002/etc.4814
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24. Hazard ranking of wastewater sources in a highly polluted river in northern Taiwan by using positive matrix factorization with metal elements P. Hsieh et al. 10.1186/s42834-022-00144-9
25. Impact of Gas/Particle Partitioning of Semivolatile Organic Compounds on Source Apportionment with Positive Matrix Factorization M. Xie et al. 10.1021/es5022262
26. Characteristics and source apportionment of VOCs in the suburban area of Beijing, China G. Wang et al. 10.1016/j.apr.2016.03.006
27. Measuring progress towards sustainable intensification: How far can secondary data go? A. Barnes & S. Thomson 10.1016/j.ecolind.2013.07.001
28. Source apportionment using receptor model based on aerosol mass spectra and 1 h resolution chemical dataset in Tianjin, China X. Peng et al. 10.1016/j.atmosenv.2018.11.018
29. Positive matrix factorization of a 32-month series of daily PM2.5 speciation data with incorporation of temperature stratification M. Xie et al. 10.1016/j.atmosenv.2012.09.034
30. Integration of positive matrix factorization and water quality models for pollution source identification and water quality enhancement in rivers S. Kim 10.1007/s13201-025-02393-6
31. Quantitative source apportionment of heavy metals in cultivated soil and associated model uncertainty L. Chai et al. 10.1016/j.ecoenv.2021.112150
32. Intra-urban spatial variability and uncertainty assessment of PM2.5 sources based on carbonaceous species M. Xie et al. 10.1016/j.atmosenv.2012.06.036
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35. Uncertainty in positive matrix factorization solutions for PAHs in surface sediments of the Yangtze River Estuary in different seasons R. Liu et al. 10.1016/j.chemosphere.2017.10.070
36. Source apportionment of particulate matter in Europe: A review of methods and results M. Viana et al. 10.1016/j.jaerosci.2008.05.007