Chun‐Teh Chen
Impact in
- Surfaces, Coatings and Films top 1%
- Polymer Surface Interaction Studies
- Biomaterials top 2%
Papers in
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- Machine Learning in Materials Science 5
-
- Silk-based biomaterials and applications 3
- Co-authors
- Markus J. Buehler (13 shared papers)Grace X. Gu (7 shared papers)Vincent Ball (4 shared papers)Alessandra Napolitano (1 shared paper)Marco d’Ischia (1 shared paper)Francisco J. Martín‐Martínez (3 shared papers)Gang Seob Jung (1 shared paper)David Ruch (2 shared papers)
- Journals
- Nature Communications (3 papers)Physical Chemistry Chemical Physics (2 papers)Materials Horizons (2 papers)MRS Communications (1 paper)Chemistry of Materials (1 paper)
- Partner nations
- United StatesFranceSingapore
In The Last Decade
Chun‐Teh Chen
19 papers receiving 2.8k citations
Chun‐Teh Chen's Hit Papers
Peers
Comparison fields: 5 of 137
- Surfaces, Coatings and Films 383
- Biomaterials 437
- Polymers and Plastics 340
- Automotive Engineering 270
- Cell Biology 354
Countries citing papers authored by Chun‐Teh Chen
This map shows the geographic impact of Chun‐Teh Chen'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‐Teh Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Teh Chen more than expected).
Fields of papers citing papers by Chun‐Teh Chen
This network shows the impact of papers produced by Chun‐Teh Chen. 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‐Teh Chen. The network helps show where Chun‐Teh Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Teh Chen, 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 | Polydopamine and Eumelanin: From Structure–Property Relationships to a Unified Tailoring Strategy Hit paper breakdown → | 2014 | 558 |
| 2 | Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment Hit paper breakdown → | 2018 | 426 |
| 3 | 2017 | 370 | |
| 4 | 2019 | 230 | |
| 5 | 2016 | 185 | |
| 6 | 2017 | 155 | |
| 7 | 2013 | 149 | |
| 8 | 2014 | 145 | |
| 9 | 2019 | 137 | |
| 10 | 2019 | 100 | |
| 11 | 2013 | 58 | |
| 12 | 2019 | 56 | |
| 13 | 2017 | 43 | |
| 14 | 2023 | 41 | |
| 15 | 2014 | 33 | |
| 16 | 2022 | 32 | |
| 17 | 2020 | 31 | |
| 18 | 2021 | 28 | |
| 19 | 2018 | 28 |
About Chun‐Teh Chen
Chun‐Teh Chen is a scholar working on Materials Chemistry, Biomaterials, Cell Biology, Building and Construction and Automotive Engineering, having authored 19 papers that have together received 2.8k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), melanin and skin pigmentation (5 papers), Dyeing and Modifying Textile Fibers (4 papers), Force Microscopy Techniques and Applications (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers), Silk-based biomaterials and applications (3 papers), Advanced Materials and Mechanics (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (383 citations), Biomaterials (437 citations), Polymers and Plastics (340 citations), Automotive Engineering (270 citations) and Cell Biology (354 citations). Chun‐Teh Chen has collaborated with scholars based in United States, France and Singapore. Frequent co-authors include Markus J. Buehler, Grace X. Gu, Vincent Ball, Alessandra Napolitano, Marco d’Ischia, Francisco J. Martín‐Martínez, Gang Seob Jung, David Ruch, J. Grácio and Zhao Qin. Their work appears in journals such as Nature Communications, Physical Chemistry Chemical Physics, Materials Horizons, MRS Communications and Chemistry of Materials.
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.