Shan Ren

7.0k total citations · 1 hit paper
215 papers, 5.6k citations indexed

About

Shan Ren is a scholar working on Materials Chemistry, Mechanical Engineering and Catalysis. According to data from OpenAlex, Shan Ren has authored 215 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Materials Chemistry, 98 papers in Mechanical Engineering and 71 papers in Catalysis. Recurrent topics in Shan Ren's work include Catalytic Processes in Materials Science (89 papers), Catalysis and Oxidation Reactions (49 papers) and Industrial Gas Emission Control (34 papers). Shan Ren is often cited by papers focused on Catalytic Processes in Materials Science (89 papers), Catalysis and Oxidation Reactions (49 papers) and Industrial Gas Emission Control (34 papers). Shan Ren collaborates with scholars based in China, Australia and Canada. Shan Ren's co-authors include Qingcai Liu, Jie Yang, Weizao Liu, Lin Chen, Zhichao Chen, Jian Yang, Ming Kong, Mingming Wang, Jiangling Li and Jianliang Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, Environmental Science & Technology and Journal of Hazardous Materials.

In The Last Decade

Shan Ren

199 papers receiving 5.5k citations

Hit Papers

CO2 mineral carbonation using industrial solid wastes: A ... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Ren China 41 3.6k 2.6k 2.2k 1.1k 885 215 5.6k
Hairong Yue China 37 2.7k 0.7× 2.0k 0.8× 2.1k 1.0× 2.3k 2.1× 1.4k 1.6× 150 6.3k
Samir Bensaid Italy 47 4.2k 1.1× 1.6k 0.6× 3.0k 1.4× 1.3k 1.2× 1.7k 1.9× 185 6.8k
Weizao Liu China 36 1.8k 0.5× 2.0k 0.8× 951 0.4× 840 0.8× 665 0.8× 134 4.0k
María Elena Gálvez France 48 4.4k 1.2× 1.6k 0.6× 3.5k 1.6× 1.3k 1.2× 1.4k 1.6× 132 6.6k
Binlin Dou China 49 2.3k 0.6× 3.3k 1.3× 2.4k 1.1× 3.6k 3.2× 1.0k 1.2× 197 7.1k
Xidong Wang China 44 2.6k 0.7× 1.8k 0.7× 482 0.2× 1.2k 1.0× 596 0.7× 183 5.4k
Fawei Lin China 34 2.0k 0.5× 1.2k 0.5× 933 0.4× 966 0.9× 558 0.6× 121 3.5k
Chunmei Lu China 41 1.7k 0.5× 2.3k 0.9× 614 0.3× 2.4k 2.1× 392 0.4× 140 4.4k
Weiren Bao China 33 1.7k 0.5× 1.6k 0.6× 635 0.3× 1.1k 1.0× 374 0.4× 200 4.1k
Hongming Long China 33 1.4k 0.4× 1.6k 0.6× 589 0.3× 985 0.9× 421 0.5× 213 3.7k

Countries citing papers authored by Shan Ren

Since Specialization
Citations

This map shows the geographic impact of Shan Ren'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 Shan Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Ren more than expected).

Fields of papers citing papers by Shan Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shan Ren. 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 Shan Ren. The network helps show where Shan Ren may publish in the future.

Co-authorship network of co-authors of Shan Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Ren. A scholar is included among the top collaborators of Shan Ren 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 Shan Ren. Shan Ren 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.
Ren, Shan, et al.. (2025). Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach. JMIR Cancer. 11. e62833–e62833.
2.
Li, Kejiang, et al.. (2024). Thermal conversion studies of lignin pyrolysis and the catalytic effect of fe: A reactive molecular dynamics study. Journal of the Energy Institute. 117. 101795–101795. 7 indexed citations
3.
Li, Huan, Jian Yang, Yujie Fang, et al.. (2024). Role of surface species in CO oxidation over CuO@LaMnO3 nanocomposites: Effect of calcination temperature. Journal of environmental chemical engineering. 12(2). 111981–111981. 5 indexed citations
4.
Ren, Shan, Xi Cao, Qikui Fan, et al.. (2024). Selective CO2 Electroreduction to Multi-Carbon Products on Organic-Functionalized CuO Nanoparticles by Local Micro-Environment Modulation. Nano-Micro Letters. 16(1). 262–262. 23 indexed citations
5.
Duan, Xu, Jian Yang, Jiaqing Zhu, et al.. (2024). Chain effect of Mn4+/ Mn3+ and OLattice on La1-xSrxMnO3 catalysts for lower thermally driven CO oxidation. Journal of environmental chemical engineering. 12(6). 114938–114938. 3 indexed citations
6.
Li, Jiangling, et al.. (2023). One-step extraction of zinc and separation of iron from hazardous electric arc furnace dust via sulphating roasting-water leaching. Journal of environmental chemical engineering. 11(6). 111155–111155. 18 indexed citations
7.
Li, Xiaodi, et al.. (2023). Study on simultaneous removal of SO2 and NO from sintering flue gas over Fe-Mn/AC catalyst. Catalysis Today. 425. 114304–114304. 12 indexed citations
8.
Li, Xiaodi, et al.. (2023). In situ IR spectroscopy study of NO removal over CuCe catalyst for CO-SCR reaction at different temperature. Catalysis Today. 418. 114082–114082. 23 indexed citations
9.
Yang, Jie, Xinyu Li, Yujia Xu, et al.. (2023). Time-resolved in situ/operando infrared spectroscopy of Cu-supported zeolite X catalyst during NH3–SCR of NO: A modulated excitation study. Applied Surface Science. 647. 158969–158969. 4 indexed citations
10.
Li, Xiaodi, Shan Ren, Zhichao Chen, et al.. (2023). A comparison of bifunctional MnO catalysts prepared via different precipitants for simultaneous removal NO and CO. Molecular Catalysis. 549. 113524–113524. 3 indexed citations
12.
Chen, Tao, Shan Ren, Lin Chen, et al.. (2023). Catalysts prepared from solid wastes for efficient removal of NO in NH3-SCR process: A review. Catalysis Today. 420. 114175–114175. 15 indexed citations
13.
Liu, Weizao, et al.. (2023). Promoting the NH3-SCR performance of Fe2O3-TiO2 catalyst through regulation of the exposed crystal facets of Fe2O3. Applied Surface Science. 647. 158938–158938. 13 indexed citations
14.
Li, Jiangling, Jiangfeng Song, Weizao Liu, et al.. (2023). Ecofriendly extraction of zinc from hazardous electric arc furnace dust via sulphating roasting: Non-isothermal and isothermal kinetics analyses. Process Safety and Environmental Protection. 179. 873–886. 12 indexed citations
15.
Wu, Junsheng, et al.. (2023). Fusion representation learning for foreground moving object detection. Digital Signal Processing. 138. 104046–104046. 4 indexed citations
16.
Li, Xiaodi, Shan Ren, Zhichao Chen, et al.. (2023). A Review of Mn-Based Catalysts for Abating NOx and CO in Low-Temperature Flue Gas: Performance and Mechanisms. Molecules. 28(19). 6885–6885. 10 indexed citations
17.
Ren, Shan, et al.. (2022). Structural and gasification kinetic studies on co-pyrolysis chars of coal and biomass. Energy Advances. 1(4). 225–237. 4 indexed citations
18.
Liu, Qingcai, et al.. (2018). マツおが屑チャーに及ぼす熱分解温度の影響とCO2によるそれらのガス化反応性機構【JST・京大機械翻訳】. Asia-Pacific Journal of Chemical Engineering. 13(6). 2256. 1 indexed citations
19.
Kong, Ming, Qingcai Liu, Fuqiang Guo, et al.. (2017). Physicochemical properties of pine-derived bio-chars modified by metal oxides and their performance in the removal of NO. Journal of the Energy Institute. 91(3). 467–472. 22 indexed citations
20.
Kong, Ming, Qingcai Liu, Lijun Jiang, et al.. (2016). Property influence and poisoning mechanism of HgCl2 on V2O5-WO3/TiO2 SCR-DeNO catalysts. Catalysis Communications. 85. 34–38. 14 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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