Chien‐Teng Hsieh
- Polymers and Plastics top 5%
- Biomedical Engineering
- Electronic, Optical and Magnetic Materials
- Mechanical Engineering
- Biomaterials top 10%
- Co-authors
- Jia‐Horng LinChing‐Wen LouYi‐Jun PanZheng-Ian LinChien‐Lin HuangChen‐Hung HuangChih‐Kuang ChenYueh-Sheng Chen
- Topics
- Natural Fiber Reinforced Composites (12 papers)Textile materials and evaluations (9 papers)Electromagnetic wave absorption materials (6 papers)
In The Last Decade
Chien‐Teng Hsieh
37 papers receiving 635 citations
Peers
Comparison fields: 5 of 65
- Polymers and Plastics 396
- Biomedical Engineering 184
- Electronic, Optical and Magnetic Materials 138
- Mechanical Engineering 106
- Biomaterials 104
Countries citing papers authored by Chien‐Teng Hsieh
This map shows the geographic impact of Chien‐Teng Hsieh'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‐Teng Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Teng Hsieh more than expected).
Fields of papers citing papers by Chien‐Teng Hsieh
This network shows the impact of papers produced by Chien‐Teng Hsieh. 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‐Teng Hsieh. The network helps show where Chien‐Teng Hsieh may publish in the future.
Co-authorship network of co-authors of Chien‐Teng Hsieh
This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Teng Hsieh. A scholar is included among the top collaborators of Chien‐Teng Hsieh 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‐Teng Hsieh. Chien‐Teng Hsieh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 65 | |
| 3 | 7 | |
| 4 | 27 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 24 | |
| 8 | 20 | |
| 9 | 11 | |
| 10 | 7 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 8 | |
| 15 | 26 | |
| 16 | 135 | |
| 17 | Optimization of Conductive Fabric Using the Taguchi Method and Grey Relational Analysis: An Application in Manufacturing Process Design | 1 |
| 18 | 9 | |
| 19 | 7 | |
| 20 | 6 |
About Chien‐Teng Hsieh
Chien‐Teng Hsieh is a scholar working on Polymers and Plastics, Biomaterials and Electronic, Optical and Magnetic Materials, having authored 38 papers that have together received 651 indexed citations. Recurring topics across this work include Natural Fiber Reinforced Composites (12 papers), Textile materials and evaluations (9 papers) and Electromagnetic wave absorption materials (6 papers). The work is most often cited by research in Polymers and Plastics (396 citations), Nuclear Energy and Engineering (4 citations) and Biomaterials (104 citations). Chien‐Teng Hsieh has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Jia‐Horng Lin, Ching‐Wen Lou, Yi‐Jun Pan, Zheng-Ian Lin, Chien‐Lin Huang, Chen‐Hung Huang, Chih‐Kuang Chen, Yueh-Sheng Chen, Chi‐Fan Liu and Chin-Mei Lin. Their work appears in journals such as Journal of The Electrochemical Society, Composites Science and Technology and Composites Part A Applied Science and Manufacturing.
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.