Chun-Nan Wu
Impact in
- Biomaterials top 2%
- Advanced Cellulose Research Studies
- Electrospun Nanofibers in Biomedical Applications
- Nanocomposite Films for Food Packaging
- biodegradable polymer synthesis and properties
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- Natural Fiber Reinforced Composites
Papers in
- Biomaterials 13
- Advanced Cellulose Research Studies 12
- Electrospun Nanofibers in Biomedical Applications 5
- biodegradable polymer synthesis and properties 5
- Nanocomposite Films for Food Packaging 4
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- Soft Robotics and Applications 3
- Co-authors
- Akira Isogai (7 shared papers)Tsuguyuki Saito (6 shared papers)Hayaka Fukuzumi (2 shared papers)Shuji Fujisawa (2 shared papers)Kuan‐Chen Cheng (4 shared papers)Quanling Yang (3 shared papers)Miyuki Takeuchi (3 shared papers)Hsi‐Mei Lai (3 shared papers)
In The Last Decade
Chun-Nan Wu
21 papers receiving 642 citations
Peers
Comparison fields: 5 of 79
- Biomaterials 476
- Polymers and Plastics 85
- Surfaces, Coatings and Films 28
- Biomedical Engineering 168
- Molecular Medicine 12
Countries citing papers authored by Chun-Nan Wu
This map shows the geographic impact of Chun-Nan Wu'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 Chun-Nan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Nan Wu more than expected).
Fields of papers citing papers by Chun-Nan Wu
This network shows the impact of papers produced by Chun-Nan Wu. 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 Chun-Nan Wu. The network helps show where Chun-Nan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun-Nan Wu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 257 | |
| 2 | 2013 | 64 | |
| 3 | 2016 | 59 | |
| 4 | 2012 | 46 | |
| 5 | 2014 | 41 | |
| 6 | 2020 | 39 | |
| 7 | 2021 | 28 | |
| 8 | 2017 | 26 | |
| 9 | 2018 | 20 | |
| 10 | 2017 | 17 | |
| 11 | 2022 | 12 | |
| 12 | 2023 | 10 | |
| 13 | 2022 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2014 | 6 | |
| 16 | 2023 | 3 | |
| 17 | 2012 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2005 | 2 | |
| 20 | 2004 | 2 |
About Chun-Nan Wu
Chun-Nan Wu is a scholar working on Biomaterials, Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology and Control and Systems Engineering, having authored 25 papers that have together received 656 indexed citations. Recurring topics across this work include Advanced Cellulose Research Studies (12 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), biodegradable polymer synthesis and properties (5 papers), Nanocomposite Films for Food Packaging (4 papers), Soft Robotics and Applications (3 papers), Hydraulic and Pneumatic Systems (2 papers), Robot Manipulation and Learning (2 papers) and Image and Video Stabilization (2 papers). The work is most often cited by research in Biomaterials (476 citations), Polymers and Plastics (85 citations), Surfaces, Coatings and Films (28 citations), Biomedical Engineering (168 citations) and Molecular Medicine (12 citations). Chun-Nan Wu has collaborated with scholars based in Taiwan, Japan and China. Frequent co-authors include Akira Isogai, Tsuguyuki Saito, Hayaka Fukuzumi, Shuji Fujisawa, Kuan‐Chen Cheng, Quanling Yang, Miyuki Takeuchi, Hsi‐Mei Lai, Chang‐Wei Hsieh and Hsien‐Yi Hsu. Their work appears in journals such as Cellulose, International Journal of Biological Macromolecules, Carbohydrate Polymers, JAPAN TAPPI JOURNAL and Food Chemistry.
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.