Kai Fu
Impact in
- Signal Processing top 5%
- Blind Source Separation Techniques
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
Papers in
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- Heat Transfer and Boiling Studies 7
- Additive Manufacturing Materials and Processes 6
- High Entropy Alloys Studies 6
- Heat Transfer and Optimization 5
- Heat Transfer Mechanisms 4
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- Polymer composites and self-healing 5
- Co-authors
- Jianfeng Qu (2 shared papers)Yi Chai (2 shared papers)Tao Zou (1 shared paper)Xianghua Xu (5 shared papers)Xingang Liang (3 shared papers)Benli Luan (6 shared papers)Yanpeng Xue (4 shared papers)Xuechong Ren (3 shared papers)
In The Last Decade
Kai Fu
33 papers receiving 600 citations
Peers
Comparison fields: 5 of 95
- Signal Processing 201
- Cognitive Neuroscience 278
- Mechanical Engineering 156
- Cardiology and Cardiovascular Medicine 79
- Artificial Intelligence 79
Countries citing papers authored by Kai Fu
This map shows the geographic impact of Kai 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 Kai Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Fu more than expected).
Fields of papers citing papers by Kai Fu
This network shows the impact of papers produced by Kai 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 Kai Fu. The network helps show where Kai Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 191 | |
| 2 | 2015 | 136 | |
| 3 | 2022 | 47 | |
| 4 | 1977 | 29 | |
| 5 | 2023 | 25 | |
| 6 | 2023 | 17 | |
| 7 | 2020 | 17 | |
| 8 | 2024 | 14 | |
| 9 | 2022 | 14 | |
| 10 | Syntactic Shape Recognition Using Attributed Grammars. | 1978 | 14 |
| 11 | 2024 | 13 | |
| 12 | 2025 | 12 | |
| 13 | 2012 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 9 | |
| 16 | RULE-BASED INFERENCE WITH FUZZY SET FOR STRUCTURAL DAMAGE ASSESSMENT. | 1982 | 8 |
| 17 | 2024 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2024 | 5 | |
| 20 | SYNTACTIC-STATISTICAL APPROACH TO RECOGNITION OF INDUSTRIAL OBJECTS | 1980 | 4 |
About Kai Fu
Kai Fu is a scholar working on Mechanical Engineering, Polymers and Plastics, Biomedical Engineering, Computational Mechanics and Biomaterials, having authored 34 papers that have together received 619 indexed citations. Recurring topics across this work include Heat Transfer and Boiling Studies (7 papers), Additive Manufacturing Materials and Processes (6 papers), High Entropy Alloys Studies (6 papers), Polymer composites and self-healing (5 papers), Heat Transfer and Optimization (5 papers), Heat Transfer Mechanisms (4 papers), Fluid Dynamics and Heat Transfer (3 papers) and biodegradable polymer synthesis and properties (3 papers). The work is most often cited by research in Signal Processing (201 citations), Cognitive Neuroscience (278 citations), Mechanical Engineering (156 citations), Cardiology and Cardiovascular Medicine (79 citations) and Artificial Intelligence (79 citations). Kai Fu has collaborated with scholars based in China, Canada and Sweden. Frequent co-authors include Jianfeng Qu, Yi Chai, Tao Zou, Xianghua Xu, Xingang Liang, Benli Luan, Yanpeng Xue, Xuechong Ren, L. A. Zadeh and Kazuo Tanaka. Their work appears in journals such as Science China Technological Sciences, Industrial Crops and Products, Biomedical Signal Processing and Control, Surface and Coatings Technology and Acta Pharmaceutica Sinica B.
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.