Ten-Chin Wen

70 papers and 1.7k indexed citations i.

About

Ten-Chin Wen is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Biomedical Engineering. According to data from OpenAlex, Ten-Chin Wen has authored 70 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Electrical and Electronic Engineering, 32 papers in Polymers and Plastics and 15 papers in Biomedical Engineering. Recurrent topics in Ten-Chin Wen’s work include Organic Electronics and Photovoltaics (33 papers), Conducting polymers and applications (31 papers) and Organic Light-Emitting Diodes Research (18 papers). Ten-Chin Wen is often cited by papers focused on Organic Electronics and Photovoltaics (33 papers), Conducting polymers and applications (31 papers) and Organic Light-Emitting Diodes Research (18 papers). Ten-Chin Wen collaborates with scholars based in Taiwan, United States and India. Ten-Chin Wen's co-authors include Tzung-Fang Guo, Yung Chang, Peter Chen, Po‐Shen Shen, Eric Wei‐Guang Diau, Pei-Ying Lin, Yu‐Cheng Chang, Cheng-Hung Tsai, Hsu‐Cheng Hsu and Li-Ming Huang and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Macromolecules.

In The Last Decade

Co-authorship network of co-authors of Ten-Chin Wen i

Fields of papers citing papers by Ten-Chin Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ten-Chin Wen

Since Specialization
Citations

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

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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2025