Feng Cao
Impact in
-
- Neurobiology and Insect Physiology Research
- Neuroscience and Neural Engineering
-
- Biomimetic flight and propulsion mechanisms
Papers in
-
- Neurobiology and Insect Physiology Research 5
- Neuroscience and Neural Engineering 3
-
- Robotic Locomotion and Control 5
- Muscle activation and electromyography studies 3
- Co-authors
- Hirotaka Sato (12 shared papers)Yao Li (6 shared papers)T. Thang Vo‐Doan (6 shared papers)Chao Zhang (1 shared paper)Kazuo Ikeda (1 shared paper)Yunwei Li (1 shared paper)Pieter Abbeel (1 shared paper)Michel M. Maharbiz (1 shared paper)
- Journals
- PLoS ONE (2 papers)Journal of Experimental Biology (1 paper)Bioinspiration & Biomimetics (1 paper)Journal of The Royal Society Interface (1 paper)Journal of King Saud University - Computer and Information Sciences (1 paper)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Feng Cao
15 papers receiving 272 citations
Peers
Comparison fields: 5 of 47
- Cellular and Molecular Neuroscience 118
- Aerospace Engineering 82
- Genetics 77
- Condensed Matter Physics 32
- Biomedical Engineering 96
Countries citing papers authored by Feng Cao
This map shows the geographic impact of Feng Cao'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 Feng Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Cao more than expected).
Fields of papers citing papers by Feng Cao
This network shows the impact of papers produced by Feng Cao. 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 Feng Cao. The network helps show where Feng Cao may publish in the future.
Co-authors
The 24 scholars most cited alongside Feng Cao, 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 | 2014 | 48 | |
| 2 | 2016 | 45 | |
| 3 | 2023 | 40 | |
| 4 | 2016 | 26 | |
| 5 | 2019 | 19 | |
| 6 | 2017 | 18 | |
| 7 | 2015 | 17 | |
| 8 | 2016 | 15 | |
| 9 | 2015 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2017 | 11 | |
| 12 | 2024 | 6 | |
| 13 | 2003 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2016 | 2 | |
| 16 | 2025 | 0 | |
| 17 | 2019 | 0 |
About Feng Cao
Feng Cao is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Genetics, Aerospace Engineering and Ecology, Evolution, Behavior and Systematics, having authored 17 papers that have together received 286 indexed citations. Recurring topics across this work include Biomimetic flight and propulsion mechanisms (6 papers), Insect and Arachnid Ecology and Behavior (6 papers), Neurobiology and Insect Physiology Research (5 papers), Robotic Locomotion and Control (5 papers), Neuroscience and Neural Engineering (3 papers), Muscle activation and electromyography studies (3 papers), IoT and GPS-based Vehicle Safety Systems (1 paper) and Adhesion, Friction, and Surface Interactions (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (118 citations), Aerospace Engineering (82 citations), Genetics (77 citations), Condensed Matter Physics (32 citations) and Biomedical Engineering (96 citations). Feng Cao has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Hirotaka Sato, Yao Li, T. Thang Vo‐Doan, Chao Zhang, Kazuo Ikeda, Chao Zhang, Chao Zhang, Chao Zhang, Yunwei Li and Pieter Abbeel. Their work appears in journals such as PLoS ONE, Journal of Experimental Biology, Bioinspiration & Biomimetics, Journal of The Royal Society Interface and Journal of King Saud University - Computer and Information 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.