Si‐Shun Yan

17 total papers · 1.3k total citations
14 papers, 1.1k citations indexed

About

Si‐Shun Yan is a scholar working on Process Chemistry and Technology, Organic Chemistry and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Si‐Shun Yan has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Process Chemistry and Technology, 9 papers in Organic Chemistry and 7 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Si‐Shun Yan's work include Carbon dioxide utilization in catalysis (11 papers), CO2 Reduction Techniques and Catalysts (5 papers) and Catalytic C–H Functionalization Methods (4 papers). Si‐Shun Yan is often cited by papers focused on Carbon dioxide utilization in catalysis (11 papers), CO2 Reduction Techniques and Catalysts (5 papers) and Catalytic C–H Functionalization Methods (4 papers). Si‐Shun Yan collaborates with scholars based in China, Germany and Poland. Si‐Shun Yan's co-authors include Da‐Gang Yu, Jian‐Heng Ye, Wen‐Jun Zhou, Li‐Li Liao, Miao Meng, Zhu‐Bao Yin, He Huang, Zhen Zhang, Lei Song and Yong‐Yuan Gui and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Angewandte Chemie International Edition.

In The Last Decade

Si‐Shun Yan

12 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Si‐Shun Yan 800 671 483 250 172 14 1.1k
Si‐Shun Yan 808 1.0× 694 1.0× 487 1.0× 354 1.4× 318 1.8× 21 1.2k
Yuan‐Xu Jiang 752 0.9× 576 0.9× 436 0.9× 218 0.9× 113 0.7× 19 1.0k
Chuan‐Kun Ran 726 0.9× 692 1.0× 553 1.1× 306 1.2× 179 1.0× 27 1.2k
Guangmei Cao 990 1.2× 397 0.6× 335 0.7× 163 0.7× 125 0.7× 26 1.3k
Andreu Tortajada 858 1.1× 799 1.2× 554 1.1× 488 2.0× 179 1.0× 28 1.4k
Takeshi Ohishi 975 1.2× 810 1.2× 454 0.9× 475 1.9× 66 0.4× 17 1.4k
Tinghua Xu 536 0.7× 542 0.8× 307 0.6× 388 1.6× 64 0.4× 21 1.4k
Inẽ I. F. Boogaerts 664 0.8× 717 1.1× 399 0.8× 427 1.7× 52 0.3× 6 1.0k
Wenfang Xiong 858 1.1× 500 0.7× 245 0.5× 279 1.1× 82 0.5× 45 1.1k
Veera Reddy Yatham 1.3k 1.6× 258 0.4× 179 0.4× 142 0.6× 172 1.0× 40 1.4k

Countries citing papers authored by Si‐Shun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Si‐Shun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Si‐Shun Yan. 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 Si‐Shun Yan. The network helps show where Si‐Shun Yan may publish in the future.

Co-authorship network of co-authors of Si‐Shun Yan

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

All Works

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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