Chien‐Chia Chu

22 total papers · 675 total citations
20 papers, 617 citations indexed

About

Chien‐Chia Chu is a scholar working on Materials Chemistry, Polymers and Plastics and Biomaterials. According to data from OpenAlex, Chien‐Chia Chu has authored 20 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 9 papers in Polymers and Plastics and 5 papers in Biomaterials. Recurrent topics in Chien‐Chia Chu's work include Polymer Nanocomposites and Properties (5 papers), Polymer composites and self-healing (5 papers) and Metal and Thin Film Mechanics (4 papers). Chien‐Chia Chu is often cited by papers focused on Polymer Nanocomposites and Properties (5 papers), Polymer composites and self-healing (5 papers) and Metal and Thin Film Mechanics (4 papers). Chien‐Chia Chu collaborates with scholars based in Taiwan, United States and China. Chien‐Chia Chu's co-authors include S.K. Wu, Jiang‐Jen Lin, Yu‐Chan Yen, Ming‐Li Chiang, Shu‐Kai Yeh, Wei‐Cheng Tsai, Chih‐Wei Chiu, Sea‐Fue Wang, Wenjeng Guo and Kung‐Chin Chang and has published in prestigious journals such as The Journal of Physical Chemistry B, Macromolecules and The Journal of Physical Chemistry C.

In The Last Decade

Chien‐Chia Chu

20 papers receiving 604 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chien‐Chia Chu 321 287 141 118 110 20 617
Xinchao Wang 182 0.6× 220 0.8× 111 0.8× 153 1.3× 151 1.4× 27 564
Byung Ghyl Min 313 1.0× 312 1.1× 215 1.5× 107 0.9× 118 1.1× 18 611
Shibin Nie 219 0.7× 438 1.5× 122 0.9× 51 0.4× 70 0.6× 24 641
Peng Zhang 268 0.8× 268 0.9× 295 2.1× 101 0.9× 82 0.7× 23 561
Taeyoon Kim 488 1.5× 150 0.5× 173 1.2× 120 1.0× 58 0.5× 23 694
Cuiqing Teng 137 0.4× 267 0.9× 160 1.1× 197 1.7× 241 2.2× 24 643
Joost Duvigneau 127 0.4× 277 1.0× 95 0.7× 156 1.3× 117 1.1× 33 579
Feng Chen 112 0.3× 333 1.2× 88 0.6× 127 1.1× 235 2.1× 20 555
Siduo Wu 281 0.9× 374 1.3× 58 0.4× 131 1.1× 72 0.7× 14 519
Prashanth Badrinarayanan 434 1.4× 323 1.1× 155 1.1× 104 0.9× 65 0.6× 20 649

Countries citing papers authored by Chien‐Chia Chu

Since Specialization
Citations

This map shows the geographic impact of Chien‐Chia Chu'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 Chien‐Chia Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Chia Chu more than expected).

Fields of papers citing papers by Chien‐Chia Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Chia Chu. 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 Chien‐Chia Chu. The network helps show where Chien‐Chia Chu may publish in the future.

Co-authorship network of co-authors of Chien‐Chia Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Chia Chu. A scholar is included among the top collaborators of Chien‐Chia Chu 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 Chien‐Chia Chu. Chien‐Chia Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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