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Ya Xiong

Researcher at China University of Petroleum

Publications -  23
Citations -  1202

Ya Xiong is an academic researcher from China University of Petroleum. The author has contributed to research in topics: Acetone & Nanofiber. The author has an hindex of 16, co-authored 23 publications receiving 689 citations. Previous affiliations of Ya Xiong include Ohio State University.

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Ultra-sensitive NH3 sensor based on flower-shaped SnS2 nanostructures with sub-ppm detection ability

TL;DR: It was found that the sensor response enhanced with increasing oxygen content in background and was improved by 3.57 times with oxygen content increasing from 0 to 40%.
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ZIF-derived porous ZnO-Co3O4 hollow polyhedrons heterostructure with highly enhanced ethanol detection performance

TL;DR: In this paper, the authors synthesize porous ZnO-decorated Co3O4 hollow polyhedrons by thermal decomposition of zeolitic imidazolate frameworks (ZIF-67) as self-sacrificial templates at 300°C.
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A hierarchical structured steel mesh decorated with metal organic framework/graphene oxide for high-efficient oil/water separation

TL;DR: The obtained hierarchical structured steel mesh exhibits super-hydrophilicity, underwater super-oleophobicity, excellent oil resistance and outstanding oil/water separation performance with a superior high permeating flux and rejection under gravity force, indicating the mesh possesses great potential for treating oily wastewater.
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Synthesis of nanowire bundle-like WO3-W18O49 heterostructures for highly sensitive NH3 sensor application

TL;DR: The WO3-W18O49 heterostructures synthesized via a novel one-step approach by using isopropanol as reaction media and applied in NH3 gas detection for the first time open an easy pathway for facile one- step preparation of heterojunctions with high response and low cost.
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SnO2 nanoparticles-modified 3D-multilayer MoS2 nanosheets for ammonia gas sensing at room temperature

TL;DR: In this paper, MoS2 nanosheets decorated with SnO2 nanoparticles were prepared via a facile two-step hydrothermal method, which possesses a proposed sensing composite structure of supporting layer/sensitive dots.