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Deli Wang

Researcher at Xiamen University

Publications -  31
Citations -  1334

Deli Wang is an academic researcher from Xiamen University. The author has contributed to research in topics: Seawater & Estuary. The author has an hindex of 18, co-authored 27 publications receiving 975 citations. Previous affiliations of Deli Wang include University of Alaska Fairbanks & Stony Brook University.

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3D hierarchical porous amidoxime fibers speed up uranium extraction from seawater

TL;DR: In this paper, a hierarchical porous, high specific surface area ABP (H-ABP) fiber was fabricated via self-assembly of axial grafting chains, which achieved a high adsorption capacity of 11.50 mg-U per g-adsorbents.
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Satellite views of the seasonal and interannual variability of phytoplankton blooms in the eastern China seas over the past 14 yr (1998–2011)

TL;DR: In this paper, the authors investigated the seasonal and interannual variability and long-term changes in phytoplankton blooms in the eastern China seas using a 14 yr (1998-2011) time series of satellite ocean colour data.
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Vanadium speciation and cycling in coastal waters

TL;DR: Different chemical species of dissolved vanadium, V (IV) and V (V), were measured in the water column of the Long Island Sound (LIS), from the East River to the Atlantic boundary during spring and summer conditions as discussed by the authors.
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Current status of emerging hypoxia in a eutrophic estuary: The lower reach of the Pearl River Estuary, China

TL;DR: In this paper, the authors examined the current status of dissolved oxygen and its trend over the past 25 years in the lower Pearl River Estuary, a large eutrophic estuary located in Southern China and surrounded by large cities including Hong Kong, Shenzhen and Guangzhou.
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Dynamics of the carbonate system in a large continental shelf system under the influence of both a river plume and coastal upwelling

TL;DR: In this paper, the authors proposed a method to use the SCOPE project for Chinese-English language learning in the context of artificial neural networks, which is based on the NSFC-RGC project.