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Xiaodong Yang
Researcher at Ningbo University
Publications - 211
Citations - 3340
Xiaodong Yang is an academic researcher from Ningbo University. The author has contributed to research in topics: Biology & Computer science. The author has an hindex of 21, co-authored 78 publications receiving 1672 citations. Previous affiliations of Xiaodong Yang include Xinjiang University & Xiamen University.
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Journal ArticleDOI
S‐Doping of an Fe/N/C ORR Catalyst for Polymer Electrolyte Membrane Fuel Cells with High Power Density
Yu-Cheng Wang,Yu-Jiao Lai,Lin Frank Song,Zhi-You Zhou,Jianguo Liu,Qiang Wang,Xiaodong Yang,Chi Chen,Chi Chen,Wei Shi,Yanping Zheng,Muhammad Rauf,Shi-Gang Sun +12 more
TL;DR: An improved Fe/N/C catalyst derived from Fe(SCN)3, poly-m-phenylenediamine, and carbon black is presented, which exhibits excellent ORR activity and the maximal power density could exceed 1 W cm(-2).
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Biochar modulates heavy metal toxicity and improves microbial carbon use efficiency in soil
Yilu Xu,Balaji Seshadri,Binoy Sarkar,Hailong Wang,Cornelia Rumpel,Donald L. Sparks,Mark Farrell,Tony Hall,Xiaodong Yang,Nanthi Bolan,Nanthi Bolan +10 more
TL;DR: The improvement of CUE through biochar addition in the contaminated soils could be attributed to the decrease in metal bioavailability, thereby mitigating the biotoxicity to soil microorganisms.
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Influence mechanism between green finance and green innovation: Exploring regional policy intervention effects in China
TL;DR: In this paper , the influence mechanism and policy intervention effects of green finance on green innovation by applying the difference-in-differences, mediation effects, and panel vector autoregression models using China's regional data from 2010 to 2019.
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Trends in Electrochemical Stability of Transition Metal Carbides and Their Potential Use As Supports for Low-Cost Electrocatalysts
TL;DR: Early transition metal carbides (TMCs) can be used as supports for platinum-group metals as low-cost electrocatalysts as mentioned in this paper, and the determination of electrochemical stability of TMCs is important to identify their potential use in electrochemical and photoelectrochemical applications.
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Machine learning-based detection of soil salinity in an arid desert region, Northwest China: A comparison between Landsat-8 OLI and Sentinel-2 MSI.
Jingzhe Wang,Jianli Ding,Danlin Yu,Dexiong Teng,Bin He,Xiangyue Chen,Xiangyu Ge,Zipeng Zhang,Yi Wang,Xiaodong Yang,Tiezhu Shi,Fenzhen Su +11 more
TL;DR: Combining RS data sets and their derived TCW within a Cubist framework yielded accurate regional salinity map, and MSI image with finer spatial resolution performed better than OLI.