Hai Fu
Impact in
- Polymers and Plastics top 5%
- Polymer Foaming and Composites
-
- Supercapacitor Materials and Fabrication
- Metamaterials and Metasurfaces Applications
Papers in
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- Polymer Foaming and Composites 9
- Polymer composites and self-healing 4
- Co-authors
- Tony Jun HuangWen ZengZhenhua TianHangquan LiYuyang GuChen ShenSteven A. CummerHongfu Zhou
- Journals
- Lab on a Chip (5 papers)Applied Surface Science (2 papers)Sensors and Actuators A Physical (2 papers)ACS Omega (2 papers)Advanced Functional Materials (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hai Fu
52 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Polymers and Plastics 268
- Electronic, Optical and Magnetic Materials 315
- Process Chemistry and Technology 49
- Biomedical Engineering 730
- Biomaterials 129
Countries citing papers authored by Hai Fu
This map shows the geographic impact of Hai 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 Hai Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Fu more than expected).
Fields of papers citing papers by Hai Fu
This network shows the impact of papers produced by Hai 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 Hai Fu. The network helps show where Hai Fu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hai 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 41 | |
| 7 | 2020 | 59 | |
| 8 | 2020 | 100 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 18 | |
| 11 | 2019 | 52 | |
| 12 | 2019 | 174 | |
| 13 | 2019 | 17 | |
| 14 | 2019 | 6 | |
| 15 | 2018 | 14 | |
| 16 | 2018 | 3 | |
| 17 | 2017 | 10 | |
| 18 | 2017 | 30 | |
| 19 | 2015 | 4 | |
| 20 | 2004 | 24 |
About Hai Fu
Hai Fu is a scholar working on Process Chemistry and Technology, Polymers and Plastics, Biomedical Engineering, Business and International Management and Biomaterials, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (17 papers), Microfluidic and Capillary Electrophoresis Applications (16 papers), Electrowetting and Microfluidic Technologies (12 papers), Microfluidic and Bio-sensing Technologies (11 papers), Polymer Foaming and Composites (9 papers), Nanomaterials and Printing Technologies (4 papers), Polymer composites and self-healing (4 papers) and biodegradable polymer synthesis and properties (4 papers). The work is most often cited by research in Polymers and Plastics (268 citations), Electronic, Optical and Magnetic Materials (315 citations), Process Chemistry and Technology (49 citations), Biomedical Engineering (730 citations) and Biomaterials (129 citations). Hai Fu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Tony Jun Huang, Wen Zeng, Zhenhua Tian, Hangquan Li, Yuyang Gu, Chen Shen, Steven A. Cummer, Hongfu Zhou, Songjing Li and Zhongjie Du. Their work appears in journals such as Lab on a Chip, Applied Surface Science, Sensors and Actuators A Physical, ACS Omega and Advanced Functional Materials.
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.