Multivariate Statistical Fingerprinting
Multivariate Statistical Fingerprinting is a statistical method that distinguishes sediment sources by identifying unique geochemical or physical signatures through the simultaneous analysis of multiple variables within a multivariate dataset.
65
Publications
3.1K
Citations
380
Authors
151
Institutions
Publications per year
2017–2026
27
65
1–5 of 65
380
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151
Chengdu University of Traditional Chinese Medicine
Chengdu, China
3 h-index
8 publications
346 citations
Jiangxi University of Traditional Chinese Medicine
Nanchang, China
2 h-index
10 publications
537 citations
Shenyang Pharmaceutical University
Shenyang, China
2 h-index
10 publications
140 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
7 publications
175 citations
Environment and Climate Change Canada
Ottawa, Canada
2 h-index
8 publications
730 citations
Zhejiang Gongshang University
Hangzhou, China
2 h-index
13 publications
160 citations
Nanjing University of Chinese Medicine
Nanjing, China
2 h-index
16 publications
248 citations

Zhejiang University
Hangzhou, China
2 h-index
7 publications
555 citations
1–8 of 151
6 publications · 377 citations
6
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4 publications · 132 citations
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5 publications · 69 citations
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3 publications · 286 citations
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2 publications · 85 citations
2
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1–5