Kun Fan
Impact in
- Materials Chemistry top 10%
- Graphene research and applications
- Diamond and Carbon-based Materials Research
- Polymers and Plastics top 10%
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 10
- Dielectric materials and actuators 5
- Graphene and Nanomaterials Applications 4
-
- Graphene research and applications 13
- 2D Materials and Applications 4
- Carbon and Quantum Dots Applications 4
- Diamond and Carbon-based Materials Research 4
- Co-authors
- Xu Wang (18 shared papers)Yang Liu (9 shared papers)Wenchuan Lai (10 shared papers)Xiangyang Liu (4 shared papers)Wei Feng (5 shared papers)Xikui Liu (7 shared papers)Xinyu Chen (2 shared papers)Yu Li (1 shared paper)
In The Last Decade
Kun Fan
38 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 57
- Materials Chemistry 505
- Polymers and Plastics 150
- Renewable Energy, Sustainability and the Environment 147
- Biomedical Engineering 359
- Mechanical Engineering 297
Countries citing papers authored by Kun Fan
This map shows the geographic impact of Kun Fan'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 Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Fan more than expected).
Fields of papers citing papers by Kun Fan
This network shows the impact of papers produced by Kun Fan. 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 Fan. The network helps show where Kun Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Fan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 190 | |
| 2 | 2018 | 105 | |
| 3 | 2018 | 72 | |
| 4 | 2020 | 52 | |
| 5 | 2016 | 43 | |
| 6 | 2019 | 42 | |
| 7 | 2021 | 41 | |
| 8 | 2021 | 39 | |
| 9 | 2016 | 37 | |
| 10 | 2016 | 35 | |
| 11 | 2018 | 35 | |
| 12 | 2006 | 31 | |
| 13 | 2015 | 30 | |
| 14 | 2018 | 28 | |
| 15 | 2024 | 26 | |
| 16 | 2020 | 25 | |
| 17 | 2018 | 23 | |
| 18 | 2020 | 21 | |
| 19 | 2023 | 20 | |
| 20 | 2025 | 16 |
About Kun Fan
Kun Fan is a scholar working on Biomedical Engineering, Materials Chemistry, Mechanical Engineering, Electrical and Electronic Engineering and Polymers and Plastics, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Graphene research and applications (13 papers), Advanced Sensor and Energy Harvesting Materials (10 papers), Fuel Cells and Related Materials (5 papers), Dielectric materials and actuators (5 papers), 2D Materials and Applications (4 papers), Carbon and Quantum Dots Applications (4 papers), Graphene and Nanomaterials Applications (4 papers) and Diamond and Carbon-based Materials Research (4 papers). The work is most often cited by research in Materials Chemistry (505 citations), Polymers and Plastics (150 citations), Renewable Energy, Sustainability and the Environment (147 citations), Biomedical Engineering (359 citations) and Mechanical Engineering (297 citations). Kun Fan has collaborated with scholars based in China, France and Australia. Frequent co-authors include Xu Wang, Yang Liu, Wenchuan Lai, Xiangyang Liu, Wei Feng, Xikui Liu, Xinyu Chen, Yu Li, Xiangyang Liu and Yang Liu. Their work appears in journals such as Carbon, Advanced Materials, Composites Part A Applied Science and Manufacturing, Chemical Science and ACS Applied Materials & Interfaces.
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.