Fei Fei
Impact in
- Applied Mathematics top 2%
- Gas Dynamics and Kinetic Theory
- Language and Linguistics top 5%
- EFL/ESL Teaching and Learning
Papers in
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- Smart Grid Energy Management 6
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- Advanced Sensor and Energy Harvesting Materials 9
- Muscle activation and electromyography studies 9
- Co-authors
- Jun Zhang (10 shared papers)Wen J. Li (10 shared papers)Wenming Su (5 shared papers)Xiaolian Chen (3 shared papers)Zheng Cui (4 shared papers)Shuhong Nie (3 shared papers)Shaofeng Li (1 shared paper)Shawn Loewen (1 shared paper)
- Journals
- Physics of Fluids (4 papers)Journal of Computational Physics (3 papers)Sensors (3 papers)RSC Advances (2 papers)Applied Sciences (2 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Fei Fei
85 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 121
- Applied Mathematics 264
- Language and Linguistics 147
- Computational Mechanics 280
- Human-Computer Interaction 72
- Literature and Literary Theory 101
Countries citing papers authored by Fei Fei
This map shows the geographic impact of Fei Fei'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 Fei Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Fei more than expected).
Fields of papers citing papers by Fei Fei
This network shows the impact of papers produced by Fei Fei. 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 Fei Fei. The network helps show where Fei Fei may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Fei, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 170 | |
| 2 | 2019 | 89 | |
| 3 | 2018 | 87 | |
| 4 | 2017 | 55 | |
| 5 | 2019 | 54 | |
| 6 | 2013 | 54 | |
| 7 | 2011 | 54 | |
| 8 | 2020 | 39 | |
| 9 | 2019 | 33 | |
| 10 | 2020 | 32 | |
| 11 | 2014 | 31 | |
| 12 | 2017 | 28 | |
| 13 | 2021 | 20 | |
| 14 | 2023 | 20 | |
| 15 | 2014 | 20 | |
| 16 | 2013 | 19 | |
| 17 | 2020 | 19 | |
| 18 | 2020 | 18 | |
| 19 | 2022 | 18 | |
| 20 | 2018 | 17 |
About Fei Fei
Fei Fei is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computational Mechanics, Control and Systems Engineering and Applied Mathematics, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (14 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Particle Dynamics in Fluid Flows (9 papers), Muscle activation and electromyography studies (9 papers), Fluid Dynamics and Turbulent Flows (7 papers), EEG and Brain-Computer Interfaces (6 papers), Smart Grid Energy Management (6 papers) and Innovative Energy Harvesting Technologies (6 papers). The work is most often cited by research in Applied Mathematics (264 citations), Language and Linguistics (147 citations), Computational Mechanics (280 citations), Human-Computer Interaction (72 citations) and Literature and Literary Theory (101 citations). Fei Fei has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Jun Zhang, Wen J. Li, Wenming Su, Xiaolian Chen, Zheng Cui, Shuhong Nie, Shaofeng Li, Shawn Loewen, Xiaoqing Chen and Kimi Nakatsukasa. Their work appears in journals such as Physics of Fluids, Journal of Computational Physics, Sensors, RSC Advances and Applied Sciences.
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.