Kun Fu
- Automotive Engineering top 0.02%
- Advanced Battery Technologies Research 37
- Additive Manufacturing and 3D Printing Technologies 29
- Electrical and Electronic Engineering top 0.05%
- Advancements in Battery Materials 77
- Advanced Battery Materials and Technologies 60
- Advanced battery technologies research 16
-
- Supercapacitor Materials and Fabrication 35
- Polymers and Plastics top 0.5%
- Biomaterials top 0.5%
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- Advanced Sensor and Energy Harvesting Materials 28
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- Graphene research and applications 14
- Co-authors
- Liangbing HuJiaqi DaiYonggang YaoEric D. WachsmanXiangwu ZhangYunhui GongXiaogang HanYifei Mo
- Cited by
- Automotive EngineeringElectrical and Electronic EngineeringElectronic, Optical and Magnetic Materials
- Partner nations
- United StatesChinaTürkiye
In The Last Decade
Kun Fu
187 papers receiving 20.4k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Automotive Engineering 8.0k
- Electrical and Electronic Engineering 15.3k
- Electronic, Optical and Magnetic Materials 3.8k
- Polymers and Plastics 1.7k
- Biomaterials 1.3k
Countries citing papers authored by Kun Fu
This map shows the geographic impact of Kun Fu'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 Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Fu more than expected).
Fields of papers citing papers by Kun Fu
This network shows the impact of papers produced by Kun Fu. 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 Fu. The network helps show where Kun Fu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 16 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 40 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 10 | |
| 13 | 2023 | 16 | |
| 14 | 2023 | 30 | |
| 15 | 2022 | 40 | |
| 16 | 2020 | 14 | |
| 17 | 2020 | 51 | |
| 18 | 2020 | 83 | |
| 19 | 2020 | 89 | |
| 20 | 2018 | 128 |
About Kun Fu
Kun Fu is a scholar working on Automotive Engineering, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Biomedical Engineering, having authored 192 papers that have together received 20.6k indexed citations. Recurring topics across this work include Advancements in Battery Materials (77 papers), Advanced Battery Materials and Technologies (60 papers), Advanced Battery Technologies Research (37 papers), Supercapacitor Materials and Fabrication (35 papers), Additive Manufacturing and 3D Printing Technologies (29 papers), Advanced Sensor and Energy Harvesting Materials (28 papers), Advanced battery technologies research (16 papers) and Graphene research and applications (14 papers). The work is most often cited by research in Automotive Engineering (8.0k citations), Electrical and Electronic Engineering (15.3k citations), Electronic, Optical and Magnetic Materials (3.8k citations), Polymers and Plastics (1.7k citations) and Biomaterials (1.3k citations). Kun Fu has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Liangbing Hu, Jiaqi Dai, Yonggang Yao, Eric D. Wachsman, Xiangwu Zhang, Yunhui Gong, Xiaogang Han, Yifei Mo, Chengwei Wang and Boyang Liu. Their work appears in journals such as Advanced Materials, Nano Letters, ACS Nano, ACS Applied Materials & Interfaces and Composites Part B Engineering.
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.