Chin-Chen Kuo

13 total papers · 619 total citations
9 papers, 532 citations indexed

About

Chin-Chen Kuo is a scholar working on Biomedical Engineering, Polymers and Plastics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chin-Chen Kuo has authored 9 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Polymers and Plastics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chin-Chen Kuo's work include Conducting polymers and applications (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers) and Neuroscience and Neural Engineering (4 papers). Chin-Chen Kuo is often cited by papers focused on Conducting polymers and applications (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers) and Neuroscience and Neural Engineering (4 papers). Chin-Chen Kuo collaborates with scholars based in United States and United Kingdom. Chin-Chen Kuo's co-authors include David C. Martin, Liangqi Ouyang, Bin Wei, Jing Qu, Jinglin Liu, Crystal Shaw, Amy L. Griffin, Russell J. Composto, James Masters and Shannon J. Tsai and has published in prestigious journals such as ACS Applied Materials & Interfaces, Journal of Colloid and Interface Science and Science Advances.

In The Last Decade

Chin-Chen Kuo

9 papers receiving 526 citations

Author Peers

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

Author Last Decade Papers Cites
Chin-Chen Kuo 332 281 196 170 40 9 532
Naoko Namba 92 0.3× 192 0.7× 34 0.2× 215 1.3× 13 0.3× 16 494
Juhyun Lee 142 0.4× 388 1.4× 94 0.5× 132 0.8× 45 1.1× 20 550
Davidson D. Ateh 312 0.9× 290 1.0× 100 0.5× 148 0.9× 37 0.9× 8 509
Ki Yoon Kwon 124 0.4× 338 1.2× 30 0.2× 169 1.0× 23 0.6× 12 499
Hongbo Yu 154 0.5× 276 1.0× 176 0.9× 175 1.0× 31 0.8× 26 611
Jung Hwal Shin 111 0.3× 379 1.3× 136 0.7× 213 1.3× 19 0.5× 15 605
Hieu Nguyen 130 0.4× 297 1.1× 214 1.1× 66 0.4× 14 0.3× 13 515
Cuiyuan Liang 163 0.5× 289 1.0× 80 0.4× 168 1.0× 20 0.5× 25 551
Takao Someya 213 0.6× 335 1.2× 109 0.6× 230 1.4× 20 0.5× 6 449
Aochen Wang 139 0.4× 432 1.5× 62 0.3× 69 0.4× 16 0.4× 10 507

Countries citing papers authored by Chin-Chen Kuo

Since Specialization
Citations

This map shows the geographic impact of Chin-Chen Kuo'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 Chin-Chen Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin-Chen Kuo more than expected).

Fields of papers citing papers by Chin-Chen Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin-Chen Kuo. 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 Chin-Chen Kuo. The network helps show where Chin-Chen Kuo may publish in the future.

Co-authorship network of co-authors of Chin-Chen Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Chin-Chen Kuo. A scholar is included among the top collaborators of Chin-Chen Kuo 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 Chin-Chen Kuo. Chin-Chen Kuo 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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2026