Chen Fu
- Bioengineering top 2%
- Analytical Chemistry and Sensors 13
- Biomedical Engineering top 5%
- Acoustic Wave Resonator Technologies 45
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- Gas Sensing Nanomaterials and Sensors 23
- Advanced MEMS and NEMS Technologies 10
- Advanced Fiber Optic Sensors 5
- Materials Chemistry top 10%
- MXene and MAX Phase Materials 6
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- Mechanical and Optical Resonators 12
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- Advanced biosensing and bioanalysis techniques 8
- Journals
- Sensors and Actuators A Physical (8 papers)IEEE Sensors Journal (5 papers)Sensors and Actuators B Chemical (4 papers)
- Partner nations
- ChinaUnited KingdomSouth Korea
In The Last Decade
Chen Fu
78 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Bioengineering 196
- Biomedical Engineering 687
- Electrical and Electronic Engineering 761
- Electronic, Optical and Magnetic Materials 199
- Materials Chemistry 365
Countries citing papers authored by Chen Fu
This map shows the geographic impact of Chen 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 Chen Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Fu more than expected).
Fields of papers citing papers by Chen Fu
This network shows the impact of papers produced by Chen 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 Chen Fu. The network helps show where Chen Fu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chen 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 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 18 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 11 | |
| 12 | 2020 | 25 | |
| 13 | 2020 | 39 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 14 | |
| 16 | 2020 | 72 | |
| 17 | 2019 | 64 | |
| 18 | 2019 | 17 | |
| 19 | 2016 | 21 | |
| 20 | 레일리파 기반의 고감도 변형률 센서에 관한 연구 | 2014 | 1 |
About Chen Fu
Chen Fu is a scholar working on Bioengineering, Biomedical Engineering, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acoustic Wave Resonator Technologies (45 papers), Gas Sensing Nanomaterials and Sensors (23 papers), Analytical Chemistry and Sensors (13 papers), Mechanical and Optical Resonators (12 papers), Advanced MEMS and NEMS Technologies (10 papers), Advanced biosensing and bioanalysis techniques (8 papers), MXene and MAX Phase Materials (6 papers) and Advanced Fiber Optic Sensors (5 papers). The work is most often cited by research in Bioengineering (196 citations), Biomedical Engineering (687 citations), Electrical and Electronic Engineering (761 citations), Electronic, Optical and Magnetic Materials (199 citations) and Materials Chemistry (365 citations). Chen Fu has collaborated with scholars based in China, United Kingdom and South Korea. Frequent co-authors include Jingting Luo, Yongqing Fu, Hao Kan, P. J. Jandas, Honglang Li, Ran Tao, Keekeun Lee, Wen Wang, K. Prabakaran and Sang Sik Yang. Their work appears in journals such as Sensors and Actuators A Physical, IEEE Sensors Journal, Sensors and Actuators B Chemical, ACS Applied Materials & Interfaces and RSC Advances.
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.