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Yajun Tian

Researcher at Chinese Academy of Sciences

Publications -  15
Citations -  773

Yajun Tian is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Carbon nanotube & Specific surface area. The author has an hindex of 10, co-authored 15 publications receiving 726 citations.

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Improving humidity selectivity in formaldehyde gas sensing by a two-sensor array made of Ga-doped ZnO

TL;DR: In this paper, a two-sensor array was fabricated to improve gas selectivity, an intrinsic disadvantage of mono-metal oxide semiconductor gas sensor, and the sensors comprising the array were made of Ga-doped ZnO (GZO) annealed at different temperatures.
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Photoluminescence investigation on the gas sensing property of ZnO nanorods prepared by plasma-enhanced CVD method

TL;DR: In this article, the gas sensing property of ZnO nanorods prepared by plasmaenhanced chemical vapor deposition (CVD) method is studied using formaldehyde as the probe gas, and the intrinsic defects are investigated by photoluminescence (PL).
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Evaluating the doping effect of Fe, Ti and Sn on gas sensing property of ZnO

TL;DR: In this article, the gas response maxima of pure ZnO to 205 ppm formaldehyde is similar to 43 (at relative humidity 70 +/- 10%) at 400 degrees C, while that of Sn-ZnO is always higher.
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Raspberry-like silica hollow spheres: Hierarchical structures by dual latex-surfactant templating route

TL;DR: In this article, Raspberry-like hollow SiO2 spheres were synthesized successfully through a dual latex−surfactant templating route, where cationic cetyltrimethylammonium (CTA+) micelles and micro-scale polystyrene (PS) latex were employed as structure-directing templates for constructing the inorganic hollow Si2 spheres with hierarchical structures.
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Preparation of a new sorbent with hydrated lime and blast furnace slag for phosphorus removal from aqueous solution

TL;DR: Analysis of the removal of dissolvable inorganic phosphate by sorbents prepared from hydrated lime (HL) and blast furnace slag (BFS) revealed that the weight ratio of BFS/HL is the most significant variable, and an optimized preparation condition is figured out.