Keting Gui

867 total citations
47 papers, 747 citations indexed

About

Keting Gui is a scholar working on Materials Chemistry, Mechanical Engineering and Catalysis. According to data from OpenAlex, Keting Gui has authored 47 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Materials Chemistry, 27 papers in Mechanical Engineering and 19 papers in Catalysis. Recurrent topics in Keting Gui's work include Catalytic Processes in Materials Science (39 papers), Industrial Gas Emission Control (22 papers) and Catalysis and Oxidation Reactions (14 papers). Keting Gui is often cited by papers focused on Catalytic Processes in Materials Science (39 papers), Industrial Gas Emission Control (22 papers) and Catalysis and Oxidation Reactions (14 papers). Keting Gui collaborates with scholars based in China, United Kingdom and Bangladesh. Keting Gui's co-authors include Xiaobo Wang, Dongdong Ren, Fang Wang, Hui Liang, Qi Zhang, Hywel Rhys Thomas, Shiguo Wu, Weixin Zou, Lin Dong and Shuohan Yu and has published in prestigious journals such as Journal of Hazardous Materials, The Journal of Organic Chemistry and Energy.

In The Last Decade

Keting Gui

46 papers receiving 745 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Keting Gui China 16 622 360 334 196 102 47 747
Isidro Mejía‐Centeno Mexico 18 471 0.8× 239 0.7× 221 0.7× 71 0.4× 102 1.0× 33 715
Yong Jia China 12 338 0.5× 137 0.4× 229 0.7× 41 0.2× 115 1.1× 32 436
Alain Ledoux France 11 177 0.3× 156 0.4× 191 0.6× 72 0.4× 29 0.3× 52 515
Yanfeng Wen China 9 387 0.6× 157 0.4× 144 0.4× 95 0.5× 111 1.1× 24 663
U.P.M. Ashik Japan 14 376 0.6× 332 0.9× 121 0.4× 50 0.3× 41 0.4× 27 656
Ziyin Zhang China 13 353 0.6× 284 0.8× 170 0.5× 130 0.7× 48 0.5× 28 616
Karolina Kiełbasa Poland 15 260 0.4× 101 0.3× 309 0.9× 94 0.5× 49 0.5× 32 620
Haijun Zhao China 21 904 1.5× 620 1.7× 231 0.7× 232 1.2× 179 1.8× 41 1.1k
Zhenmin Cheng China 13 203 0.3× 202 0.6× 162 0.5× 31 0.2× 88 0.9× 22 561
Caihong Pang China 8 409 0.7× 250 0.7× 263 0.8× 83 0.4× 79 0.8× 11 617

Countries citing papers authored by Keting Gui

Since Specialization
Citations

This map shows the geographic impact of Keting Gui's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Keting Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keting Gui more than expected).

Fields of papers citing papers by Keting Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keting Gui. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Keting Gui. The network helps show where Keting Gui may publish in the future.

Co-authorship network of co-authors of Keting Gui

This figure shows the co-authorship network connecting the top 25 collaborators of Keting Gui. A scholar is included among the top collaborators of Keting Gui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keting Gui. Keting Gui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Xiaobo, et al.. (2024). Highly efficient Fe-Cu/CL catalysts based on low-cost clay minerals for NH3-SCR of NOx at low temperature. Process Safety and Environmental Protection. 191. 2125–2139. 4 indexed citations
2.
Wang, Xiaobo, et al.. (2024). Enhancing effect of Cu and Sn doping on low-temperature catalytic activity and operating temperature window of γ-Fe2O3 in NH3-SCR of NOx. New Journal of Chemistry. 48(31). 13957–13966. 1 indexed citations
3.
Huang, Ying, Jiali Tan, Weidong Zhou, et al.. (2023). Combination of sequencing batch reactor activated sludge process with sludge lysis using thermophilic bacterial community for minimizing excess sludge. Journal of Environmental Management. 345. 118902–118902. 4 indexed citations
4.
Huang, Ying, Jiali Tan, Weidong Zhou, et al.. (2023). Investigation of lysing excess sludge slurry using hydrolase secreting thermophilic bacterial communities. Journal of Environmental Management. 349. 119562–119562. 4 indexed citations
5.
Ren, Dongdong, Wei Li, Pengyun Liu, et al.. (2023). Study of S poisoning mechanism on LaMnO3 perovskite catalyst surface based on DFT method. Environmental Science and Pollution Research. 30(57). 120315–120328. 3 indexed citations
6.
Ren, Dongdong, et al.. (2023). The Study of SCR Mechanism on LaMn1−xFexO3 Catalyst Surface Based DFT. Energies. 16(22). 7609–7609. 1 indexed citations
7.
Wang, Xiaobo, Ning Guo, Yue Wang, et al.. (2023). Excellent operating temperature window and H2O/SO2 resistances of Fe-Ce catalyst modified by different sulfation strategies for NH3-SCR reaction. Environmental Science and Pollution Research. 30(17). 50635–50648. 4 indexed citations
8.
Ren, Dongdong, et al.. (2021). Mechanism of improving the SCR NO removal activity of Fe2O3 catalyst by doping Mn. Journal of Alloys and Compounds. 867. 158787–158787. 39 indexed citations
9.
Gui, Keting, et al.. (2020). Understanding the adsorption of NH3, NO and O2 on the MnOx/SiO2 β-cristobalite (101) surface with density functional theory. Reaction Kinetics Mechanisms and Catalysis. 130(2). 741–751. 6 indexed citations
10.
Gui, Keting, et al.. (2020). The effects of manganese precursors on NO catalytic removal with MnOx/SiO2 catalyst at low temperature. Reaction Kinetics Mechanisms and Catalysis. 130(1). 195–215. 17 indexed citations
11.
Gui, Keting, et al.. (2020). The synergy between manganese oxide and iron oxide in NO catalytic removal with MnFeOx/SiO2 catalyst. Reaction Kinetics Mechanisms and Catalysis. 132(1). 187–201. 1 indexed citations
12.
Wang, Xiaobo, et al.. (2019). Superior activity of iron–manganese supported on kaolin for NO abatement at low temperature. Journal of Environmental Sciences. 88. 237–247. 7 indexed citations
13.
Wang, Xiaobo, et al.. (2019). The effect of different Ca precursors on the activity of manganese and cerium oxides supported on TiO2 for NO abatement. Reaction Kinetics Mechanisms and Catalysis. 129(1). 153–164. 10 indexed citations
14.
Liang, Hui, et al.. (2016). DRIFTS study of γFe2O3 nano‐catalyst for low‐temperature selective catalytic reduction of NOx with NH3. The Canadian Journal of Chemical Engineering. 94(9). 1668–1675. 53 indexed citations
15.
Wang, Xiaobo, Shiguo Wu, Weixin Zou, et al.. (2016). Fe-Mn/Al 2 O 3 catalysts for low temperature selective catalytic reduction of NO with NH 3. CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION). 37(8). 1314–1323. 85 indexed citations
16.
Gui, Keting. (2011). Experiment on selective catalytic reduction of NO_x by NH_3 on iron ore catalysts. Meitan xuebao. 1 indexed citations
17.
Gui, Keting. (2009). Comparison About Selective Catalytic Reduction of De-NO_x on Iron-based Magnetic Materials. Proceedings of the CSEE. 2 indexed citations
18.
Zhang, Qi & Keting Gui. (2009). A novel semidry flue gas desulfurization process with the magnetically fluidized bed reactor. Journal of Hazardous Materials. 168(2-3). 1341–1345. 32 indexed citations
19.
Zhang, Qi & Keting Gui. (2008). Influence of Applied Magnetic Field on Flue Gas Desulfurization Process in a Magnetically Fluidized Bed. Journal of Power Engineering. 1 indexed citations
20.
Gui, Keting, et al.. (2001). Collecting aerosol in airflow with a magnetically stabilized fluidized bed.. PubMed. 13(4). 497–501. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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