Kun Sun

1.1k citations
29 papers · 953 · h-index 16

Impact in

Papers in

Kun Sun

26 papers receiving 949 citations

Peers

Kun Sun
Comparison fields: 5 of 67
  • Catalysis 343
  • Renewable Energy, Sustainability and the Environment 693
  • Process Chemistry and Technology 73
  • Materials Chemistry 368
  • Electrochemistry 41
Replace Alisson H. M. da Silva with:
Alisson H. M. da Silva Brazil
Xianmei Xiang United States
Simin Li China
M. Amin Farkhondehfal Italy
Xianxian Qin China
Tze Hao Tan Australia
Seungwoo Choi South Korea
Mao Wu China
Roong Jien Wong Australia
Rainer Weber Germany
Kun Sun relative to Alisson H. M. da Silva Brazil Alisson H. M. da Silva's profile →
Citations per field
00.5×4.7×
Alisson H. M. da Silva · 1×
Citations per year

Countries citing papers authored by Kun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Kun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kun Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun Sun Line = papers co-authored together Kun Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017201
2 2019148
3 201684
4 201871
5 202263
6 202158
7 202152
8 201832
9 201031
10 201728
11 202026
12 201626
13 201624
14 202421
15 202021
16 201718
17 202111
18 20069
19 20136
20 20176

About Kun Sun

Kun Sun is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry, Catalysis, Mechanical Engineering and Plant Science, having authored 29 papers that have together received 953 indexed citations. Recurring topics across this work include CO2 Reduction Techniques and Catalysts (9 papers), Ionic liquids properties and applications (6 papers), Electrocatalysts for Energy Conversion (6 papers), Advanced Photocatalysis Techniques (5 papers), Minerals Flotation and Separation Techniques (4 papers), Metal Extraction and Bioleaching (3 papers), Extraction and Separation Processes (3 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Catalysis (343 citations), Renewable Energy, Sustainability and the Environment (693 citations), Process Chemistry and Technology (73 citations), Materials Chemistry (368 citations) and Electrochemistry (41 citations). Kun Sun has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhijiang Wang, Lina Wu, Zhaohua Jiang, Jigang Zhou, Yongfeng Hu, Tao Cheng, William A. Goddard, Yujin Ji, Yuanyue Liu and Yunzhi Gao. Their work appears in journals such as Journal of Materials Chemistry A, Applied Catalysis B: Environmental, ChemSusChem, Genetics and New Journal of Chemistry.

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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