Salinity Prediction Models
Salinity Prediction Model is a computational or statistical framework designed to estimate future or unobserved salinity levels in aquatic environments based on historical data, environmental variables, and hydrodynamic processes.
354
Publications
17K
Citations
1.3K
Authors
561
Institutions
Publications per year
2017–2026
146
Parents
354
Yongeun Park, Kyung Hwa Cho, Jihwan Park et al. · The Science of The Total Environment · 2014 · 272 citations
1–5 of 354
1.3K
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Instituto Valenciano de Investigaciones Agrarias, Spain
3 publications · 89 citations
3
h-index
1–5 of 1.3K
561

Chinese Academy of Sciences
Beijing, China
14 h-index
50 publications
1.6K citations
University of Chinese Academy of Sciences
Beijing, China
9 h-index
23 publications
917 citations

The University of Adelaide
Adelaide, Australia
9 h-index
24 publications
2.5K citations
Xinjiang University
Ürümqi, China
8 h-index
31 publications
2.3K citations
Woods Hole Oceanographic Institution
Falmouth, United States
7 h-index
15 publications
546 citations
United States Geological Survey
Reston, United States
7 h-index
13 publications
517 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
7 h-index
10 publications
430 citations
United Arab Emirates University
Al Ain, United Arab Emirates
5 h-index
10 publications
317 citations
1–8 of 561
12 publications · 743 citations
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10 publications · 1.6K citations
10
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9 publications · 471 citations
9
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7 publications · 281 citations
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6 publications · 182 citations
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