研究论文开放获取
A physics-informed statistical learning framework for forecasting local suspended sediment concentrations in marine environment
Shaotong Zhang, Jinran Wu, You‐Gan Wang, Dong‐Sheng Jeng, Guangxue Li
Ocean University of China Queensland University of Technology Griffith University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
摘要 · 节选
暂未获取摘要。可打开原文或 PDF，后续可基于全文生成更完整的速读。
逐年被引趋势
1050
22
1023
24
25
26
关键指标
32
被引次数 · OpenAlex
2.20
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 13%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
68
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。
AI 辅助阅读
依据：文献信息
论文问答
当前基于文献信息回答
可就本文提问；依据不足时会说明。
学术脉络
学科主题
物理Hydrological Forecasting Using AI
Coastal and Marine Dynamics · Air Quality Monitoring and Forecasting
参考文献 68
Dynamics of marine sands: a manual for practical applications
被引 1,281Richard L. Soulsby · Oceanographic literature review · 1997
Quantifying total suspended sediment export from the Burdekin River catchment using the loads regression estimator tool
被引 78Petra Kuhnert, Brent L. Henderson, Stephen Lewis · Water Resources Research · 2012
Field measurements of time-averaged suspended sediment concentrations under waves
被引 128Peter Nielsen · Coastal Engineering · 1984
此处列出前 3 条
引用本文 32
Novel wind speed forecasting model based on a deep learning combined strategy in urban energy systems
被引 65Hao Yan, Wendong Yang, Kedong Yin · Expert Systems with Applications · 2023
A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic
被引 57Zixi Zhao, Jinran Wu, Fengjing Cai · Scientific Reports · 2023
Daily suspended sediment concentration forecast in the upper reach of Yellow River using a comprehensive integrated deep learning model
被引 47Jinsheng Fan, Xiaofang Liu, Weidong Li · Journal of Hydrology · 2023
按被引量排序，此处列出前 3 条