Chun‐Teh Chen

3.4k citations
19 papers · 2.8k indexed · 2 hit papers · h-index 19

Impact in

Papers in

Chun‐Teh Chen

19 papers receiving 2.8k citations

Hit Papers

Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment 2018 · 426 citations
4262014202620182022100200300400500

Peers

Chun‐Teh Chen
Comparison fields: 5 of 137
  • Surfaces, Coatings and Films 383
  • Biomaterials 437
  • Polymers and Plastics 340
  • Automotive Engineering 270
  • Cell Biology 354
Replace Zhuoyue Chen with:
Zhuoyue Chen China
Vamsi K. Yadavalli United States
Feilong Zhang China
Jin Qian China
Dong Sung Kim South Korea
David Shirvanyants United States
Jingjie Yeo United States
Ziying Hu China
Francisco J. Martín‐Martínez United States
Stefan B. Lindström Sweden
Chun‐Teh Chen relative to Zhuoyue Chen China Zhuoyue Chen's profile →
Citations per field
00.5×6.5×
Zhuoyue Chen · 1×
Citations per year

Countries citing papers authored by Chun‐Teh Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Chun‐Teh Chen Line = papers co-authored together Chun‐Teh Chen links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202341
2 202232
3 202128
4 202031
5 2019137
6 2019100
7 2019230
8 201956
9
Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment
Hit paper breakdown →
2018426
10 201828
11 2017370
12 201743
13 2017155
14 2016185
15 201433
16 2014145
17
Polydopamine and Eumelanin: From Structure–Property Relationships to a Unified Tailoring Strategy
Hit paper breakdown →
2014558
18 201358
19 2013149

About Chun‐Teh Chen

Chun‐Teh Chen is a scholar working on Structural Biology, Biomaterials, Building and Construction, Cell Biology and Surfaces, Coatings and Films, 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), Silk-based biomaterials and applications (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers), Calcium Carbonate Crystallization and Inhibition (2 papers) and Advanced Materials and Mechanics (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.

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