Shikun Wen

499 total citations
17 papers, 389 citations indexed

About

Shikun Wen is a scholar working on Mechanical Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Shikun Wen has authored 17 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 10 papers in Biomedical Engineering and 4 papers in Materials Chemistry. Recurrent topics in Shikun Wen's work include Carbon Dioxide Capture Technologies (9 papers), Chemical Looping and Thermochemical Processes (6 papers) and Membrane Separation and Gas Transport (3 papers). Shikun Wen is often cited by papers focused on Carbon Dioxide Capture Technologies (9 papers), Chemical Looping and Thermochemical Processes (6 papers) and Membrane Separation and Gas Transport (3 papers). Shikun Wen collaborates with scholars based in China, United States and Finland. Shikun Wen's co-authors include Junya Wang, Liang Huang, Qiang Wang, Ping Ning, Mi Zhong, Pengfei Wu, Zhanhu Guo, Ping Ning, Ping Ning and Zeinhom M. El‐Bahy and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Coordination Chemistry Reviews and Chemical Engineering Journal.

In The Last Decade

Shikun Wen

15 papers receiving 379 citations

Peers

Shikun Wen
Comparison fields: 5 of 62
  • Mechanical Engineering 206
  • Materials Chemistry 114
  • Biomedical Engineering 88
  • Environmental Engineering 65
  • Inorganic Chemistry 65
Replace Seonggon Kim with:
Seonggon Kim South Korea
Ping Ning China
Marco Tomatis United Kingdom
Indra Perdana Indonesia
Dariusz Wawrzyńczak Poland
Nasibeh Hajilary Iran
Namra Mir Qatar
Farzaneh Sadri Canada
Seonggon Kim South Korea View profile →
Citations per field, relative to Shikun Wen
Shikun Wen · 1×
Citations per year, relative to Shikun Wen
Shikun Wen · 1×

Countries citing papers authored by Shikun Wen

Since Specialization
Citations

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

Fields of papers citing papers by Shikun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikun Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Shikun Wen. A scholar is included among the top collaborators of Shikun Wen 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 Shikun Wen. Shikun Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2 5
3 1
4 1
5 0
6 35
7 25
8 7
9 1
10 3
11 16
12 128
13 11
14 22
15 33
16 72
17 28

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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2026