Chun‐Teh Chen

3.4k total citations · 2 hit papers
19 papers, 2.8k citations indexed

About

Chun‐Teh Chen is a scholar working on Materials Chemistry, Biomaterials and Cell Biology. According to data from OpenAlex, Chun‐Teh Chen has authored 19 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 6 papers in Biomaterials and 5 papers in Cell Biology. Recurrent topics in Chun‐Teh Chen's work include Machine Learning in Materials Science (5 papers), melanin and skin pigmentation (5 papers) and Dyeing and Modifying Textile Fibers (4 papers). Chun‐Teh Chen is often cited by papers focused on Machine Learning in Materials Science (5 papers), melanin and skin pigmentation (5 papers) and Dyeing and Modifying Textile Fibers (4 papers). Chun‐Teh Chen collaborates with scholars based in United States, France and Singapore. Chun‐Teh Chen's 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 and has published in prestigious journals such as Nature Communications, Accounts of Chemical Research and ACS Nano.

In The Last Decade

Chun‐Teh Chen

19 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Polydopamine and Eumelanin: From Structure–Property Relationships to a Unified Tailoring Strategy

2014 558 citations Marco d’Ischia, Alessandra Napolitano et al. Accounts of Chemical Research profile →
Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment

2018 426 citations Grace X. Gu, Chun‐Teh Chen et al. Materials Horizons profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chun‐Teh Chen United States	19	803	715	645	437	383	19	2.8k
Jin Qian China	36	415 0.5×	2.0k 2.7×	1.0k 1.6×	606 1.4×	328 0.9×	144	4.3k
Andrew Hamilton United Kingdom	18	1.0k 1.3×	576 0.8×	256 0.4×	326 0.7×	175 0.5×	43	2.5k
Meredith N. Silberstein United States	27	584 0.7×	975 1.4×	465 0.7×	279 0.6×	100 0.3×	72	2.8k
Majid Minary‐Jolandan United States	33	947 1.2×	2.0k 2.9×	674 1.0×	650 1.5×	94 0.2×	92	3.7k
Vamsi K. Yadavalli United States	36	442 0.6×	2.0k 2.8×	275 0.4×	1.4k 3.1×	358 0.9×	105	4.3k
Feilong Zhang China	35	742 0.9×	2.3k 3.2×	723 1.1×	463 1.1×	700 1.8×	158	4.7k
David Shirvanyants United States	20	549 0.7×	1.4k 1.9×	349 0.5×	260 0.6×	474 1.2×	25	3.5k
Jingjie Yeo United States	29	1.0k 1.3×	847 1.2×	406 0.6×	675 1.5×	181 0.5×	88	2.7k
Ziying Hu China	27	618 0.8×	823 1.2×	210 0.3×	244 0.6×	361 0.9×	79	2.5k
Dong Sung Kim South Korea	36	291 0.4×	3.6k 5.0×	732 1.1×	633 1.4×	471 1.2×	211	4.8k

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 of co-authors of Chun‐Teh Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Teh Chen. A scholar is included among the top collaborators of Chun‐Teh Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chun‐Teh Chen. Chun‐Teh Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Chen, Chun‐Teh & Grace X. Gu. (2023). Physics‐Informed Deep‐Learning For Elasticity: Forward, Inverse, and Mixed Problems. Advanced Science. 10(18). e2300439–e2300439. 41 indexed citations

Chen, Zhihao, Taiwei Zhang, Chun‐Teh Chen, et al.. (2022). Mechanically and electrically biocompatible hydrogel ionotronic fibers for fabricating structurally stable implants and enabling noncontact physioelectrical modulation. Materials Horizons. 9(6). 1735–1749. 32 indexed citations

Shu, Ting, Chun‐Teh Chen, Grace X. Gu, et al.. (2021). Mechanical Training‐Driven Structural Remodeling: A Rational Route for Outstanding Highly Hydrated Silk Materials. Small. 17(33). e2102660–e2102660. 28 indexed citations

Chen, Chun‐Teh, D. C. Chrzan, & Grace X. Gu. (2020). Nano-topology optimization for materials design with atom-by-atom control. Nature Communications. 11(1). 3745–3745. 31 indexed citations

Chen, Chun‐Teh & Grace X. Gu. (2019). Machine learning for composite materials. MRS Communications. 9(2). 556–566. 230 indexed citations

Devarapalli, Ramesh, Sourabh Kadambi, Chun‐Teh Chen, et al.. (2019). Remarkably Distinct Mechanical Flexibility in Three Structurally Similar Semiconducting Organic Crystals Studied by Nanoindentation and Molecular Dynamics. Chemistry of Materials. 31(4). 1391–1402. 100 indexed citations

Williams, Thomas L., Stephen L. Senft, Jingjie Yeo, et al.. (2019). Dynamic pigmentary and structural coloration within cephalopod chromatophore organs. Nature Communications. 10(1). 1004–1004. 137 indexed citations

Chen, Chun‐Teh & Grace X. Gu. (2019). Effect of Constituent Materials on Composite Performance: Exploring Design Strategies via Machine Learning. Advanced Theory and Simulations. 2(6). 56 indexed citations

Gu, Grace X., et al.. (2018). Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment. Materials Horizons. 5(5). 939–945. 426 indexed citations breakdown →

10.

Chen, Chun‐Teh & Markus J. Buehler. (2018). Polydopamine and eumelanin models in various oxidation states. Physical Chemistry Chemical Physics. 20(44). 28135–28143. 28 indexed citations

11.

Gu, Grace X., Chun‐Teh Chen, & Markus J. Buehler. (2017). De novo composite design based on machine learning algorithm. Extreme Mechanics Letters. 18. 19–28. 370 indexed citations

12.

Chen, Chun‐Teh, Francisco J. Martín‐Martínez, Shengjie Ling, Zhao Qin, & Markus J. Buehler. (2017). Nacre-inspired design of graphene oxide–polydopamine nanocomposites for enhanced mechanical properties and multi-functionalities. Nano Futures. 1(1). 11003–11003. 43 indexed citations

13.

Xu, Weinan, Zhao Qin, Chun‐Teh Chen, et al.. (2017). Ultrathin thermoresponsive self-folding 3D graphene. Science Advances. 3(10). e1701084–e1701084. 155 indexed citations

14.

Chen, Chun‐Teh, Francisco J. Martín‐Martínez, Gang Seob Jung, & Markus J. Buehler. (2016). Polydopamine and eumelanin molecular structures investigated with ab initio calculations. Chemical Science. 8(2). 1631–1641. 185 indexed citations

15.

Chen, Chun‐Teh, Soumyajit Ghosh, C. Malla Reddy, & Markus J. Buehler. (2014). Molecular mechanics of elastic and bendable caffeine co-crystals. Physical Chemistry Chemical Physics. 16(26). 13165–13165. 33 indexed citations

16.

Chen, Chun‐Teh, Chern Chuang, Jianshu Cao, et al.. (2014). Excitonic effects from geometric order and disorder explain broadband optical absorption in eumelanin. Nature Communications. 5(1). 3859–3859. 145 indexed citations

17.

d’Ischia, Marco, Alessandra Napolitano, Vincent Ball, Chun‐Teh Chen, & Markus J. Buehler. (2014). Polydopamine and Eumelanin: From Structure–Property Relationships to a Unified Tailoring Strategy. Accounts of Chemical Research. 47(12). 3541–3550. 558 indexed citations breakdown →

18.

Lin, Shangchao, Chun‐Teh Chen, Igor Bdikin, et al.. (2013). Tuning heterogeneous poly(dopamine) structures and mechanics: in silico covalent cross-linking and thin film nanoindentation. Soft Matter. 10(3). 457–464. 58 indexed citations

19.

Chen, Chun‐Teh, Vincent Ball, J. Grácio, et al.. (2013). Self-Assembly of Tetramers of 5,6-Dihydroxyindole Explains the Primary Physical Properties of Eumelanin: Experiment, Simulation, and Design. ACS Nano. 7(2). 1524–1532. 149 indexed citations

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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