Kewang Nan
Impact in
- Biomedical Engineering top 2%
- Advanced Sensor and Energy Harvesting Materials
- Mechanical Engineering top 2%
- Advanced Materials and Mechanics
- Modular Robots and Swarm Intelligence
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 20
- 3D Printing in Biomedical Research 7
- Innovative Microfluidic and Catalytic Techniques Innovation 2
-
- Advanced Materials and Mechanics 14
- Modular Robots and Swarm Intelligence 4
- Co-authors
- Yonggang HuangYihui ZhangZheng YanJohn A. RogersMengdi HanHaiwen LuanJames M. TourAbdul‐Rahman O. Raji
- Journals
- Advanced Functional Materials (7 papers)Extreme Mechanics Letters (3 papers)Science Advances (2 papers)ACS Nano (2 papers)Advanced Biosystems (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Kewang Nan
40 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 117
- Biomedical Engineering 1.3k
- Mechanical Engineering 757
- Polymers and Plastics 266
- Cellular and Molecular Neuroscience 248
- Surfaces, Coatings and Films 77
Countries citing papers authored by Kewang Nan
This map shows the geographic impact of Kewang Nan'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 Kewang Nan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kewang Nan more than expected).
Fields of papers citing papers by Kewang Nan
This network shows the impact of papers produced by Kewang Nan. 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 Kewang Nan. The network helps show where Kewang Nan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kewang Nan, 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 | 0 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 7 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 21 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 58 | |
| 11 | 2022 | 10 | |
| 12 | 2019 | 34 | |
| 13 | 2019 | 29 | |
| 14 | 2018 | 221 | |
| 15 | 2018 | 241 | |
| 16 | 2017 | 34 | |
| 17 | 2017 | 2 | |
| 18 | 2016 | 52 | |
| 19 | 2016 | 16 | |
| 20 | 2016 | 124 |
About Kewang Nan
Kewang Nan is a scholar working on Biomedical Engineering, Mechanical Engineering, Cellular and Molecular Neuroscience, Automotive Engineering and Biotechnology, having authored 43 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (20 papers), Advanced Materials and Mechanics (14 papers), Neuroscience and Neural Engineering (7 papers), 3D Printing in Biomedical Research (7 papers), Modular Robots and Swarm Intelligence (4 papers), Photoreceptor and optogenetics research (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). The work is most often cited by research in Biomedical Engineering (1.3k citations), Mechanical Engineering (757 citations), Polymers and Plastics (266 citations), Cellular and Molecular Neuroscience (248 citations) and Surfaces, Coatings and Films (77 citations). Kewang Nan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yonggang Huang, Yihui Zhang, Zheng Yan, John A. Rogers, Mengdi Han, Haiwen Luan, James M. Tour, Abdul‐Rahman O. Raji, Jian Lin and Paul Le Floch. Their work appears in journals such as Advanced Functional Materials, Extreme Mechanics Letters, Science Advances, ACS Nano and Advanced Biosystems.
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.