Kun Fu
Impact in
- Automotive Engineering top 0.02%
- Advanced Battery Technologies Research
- Electrical and Electronic Engineering top 0.05%
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Advanced battery technologies research
Papers in
-
- Advancements in Battery Materials 77
- Advanced Battery Materials and Technologies 60
- Advanced battery technologies research 16
-
- Advanced Battery Technologies Research 37
- Additive Manufacturing and 3D Printing Technologies 29
- Co-authors
- Liangbing Hu (53 shared papers)Jiaqi Dai (37 shared papers)Yonggang Yao (37 shared papers)Eric D. Wachsman (17 shared papers)Xiangwu Zhang (25 shared papers)Yunhui Gong (16 shared papers)Xiaogang Han (12 shared papers)Yifei Mo (6 shared papers)
- Journals
- Advanced Materials (14 papers)ACS Nano (10 papers)Nano Letters (10 papers)ACS Applied Materials & Interfaces (9 papers)Composites Part B Engineering (7 papers)
- Partner nations
- United StatesChinaTürkiye
In The Last Decade
Kun Fu
187 papers receiving 20.9k citations
Kun Fu's Hit Papers
Peers
Comparison fields: 5 of 152
- Automotive Engineering 8.0k
- Electrical and Electronic Engineering 15.5k
- Electronic, Optical and Magnetic Materials 3.8k
- Polymers and Plastics 1.8k
- 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-authors
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
Showing the 20 most-cited of 191 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Negating interfacial impedance in garnet-based solid-state Li metal batteries Hit paper breakdown → | 2016 | 1805 |
| 2 | A review of recent developments in membrane separators for rechargeable lithium-ion batteries Hit paper breakdown → | 2014 | 1274 |
| 3 | Garnet-Type Solid-State Electrolytes: Materials, Interfaces, and Batteries Hit paper breakdown → | 2020 | 1003 |
| 4 | Flexible, solid-state, ion-conducting membrane with 3D garnet nanofiber networks for lithium batteries Hit paper breakdown → | 2016 | 833 |
| 5 | Toward garnet electrolyte–based Li metal batteries: An ultrathin, highly effective, artificial solid-state electrolyte/metallic Li interface Hit paper breakdown → | 2017 | 768 |
| 6 | Protected Lithium‐Metal Anodes in Batteries: From Liquid to Solid Hit paper breakdown → | 2017 | 705 |
| 7 | Graphene Oxide‐Based Electrode Inks for 3D‐Printed Lithium‐Ion Batteries Hit paper breakdown → | 2016 | 656 |
| 8 | Transition from Superlithiophobicity to Superlithiophilicity of Garnet Solid-State Electrolyte Hit paper breakdown → | 2016 | 619 |
| 9 | Reducing Interfacial Resistance between Garnet‐Structured Solid‐State Electrolyte and Li‐Metal Anode by a Germanium Layer Hit paper breakdown → | 2017 | 596 |
| 10 | Three-dimensional bilayer garnet solid electrolyte based high energy density lithium metal–sulfur batteries Hit paper breakdown → | 2017 | 530 |
| 11 | Mesoporous, Three-Dimensional Wood Membrane Decorated with Nanoparticles for Highly Efficient Water Treatment Hit paper breakdown → | 2017 | 431 |
| 12 | 2016 | 425 | |
| 13 | Organic electrode for non-aqueous potassium-ion batteries Hit paper breakdown → | 2015 | 417 |
| 14 | 3D printing of polymer composites: Materials, processes, and applications Hit paper breakdown → | 2022 | 364 |
| 15 | 2015 | 332 | |
| 16 | 2017 | 328 | |
| 17 | 2017 | 325 | |
| 18 | 2016 | 301 | |
| 19 | 2018 | 293 | |
| 20 | 2017 | 270 |
About Kun Fu
Kun Fu is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Biomedical Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 191 papers that have together received 21.1k 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 (15.5k citations), Electronic, Optical and Magnetic Materials (3.8k citations), Polymers and Plastics (1.8k 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 Meltem Yanılmaz. Their work appears in journals such as Advanced Materials, ACS Nano, Nano Letters, 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.