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Xingxing Cheng

Researcher at Shandong University

Publications -  71
Citations -  1442

Xingxing Cheng is an academic researcher from Shandong University. The author has contributed to research in topics: Adsorption & Catalysis. The author has an hindex of 16, co-authored 71 publications receiving 945 citations. Previous affiliations of Xingxing Cheng include University of British Columbia & Southeast University.

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Investigation on Fe-Co binary metal oxides supported on activated semi-coke for NO reduction by CO

TL;DR: In this paper, different amounts of Fe and Co species were loaded on activated semi-coke (ASC) using a hydrothermal method for the reduction of NO by CO. The results suggested a possible mechanism involving the adsorption of NO on the Fe0.8Co0.2/ASC surface.
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NO reduction by CO over copper catalyst supported on mixed CeO2 and Fe2O3: Catalyst design and activity test

TL;DR: In this paper, cubic CeO2 was found to serve as the lattice framework in the support of mixed oxides and the interaction of Fe and Ce could enhance the catalytic activity.
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A review of recent advances in selective catalytic NOx reduction reactor technologies

TL;DR: In this article, the authors reviewed the recent development of selective catalytic reduction (SCR) reactor technologies, e.g., catalysts and mechanism of different SCR reactors, and made recommendations for the future work in SCR reactor design.
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Coordinated development of energy, economy and environment subsystems - A case study

TL;DR: In this article, a coordination index and a comprehensive evaluation model were proposed for the energy, economic and environment (EEE) systems, and Shandong Province was employed for case study with the data inputs which covers a time frame of 2004-2012.
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Effects of O2, CO2 and H2O on NOx adsorption and selective catalytic reduction over Fe/ZSM-5

TL;DR: In this article, the adsorption performance and catalytic activity of Fe/ZSM-5 for the selective catalytic reduction (SCR) of NOx with propylene were studied in a fixed bed reactor using model flue gases.