Yi‐Hsien Lin
- Molecular Biology
- Oncology
- Pulmonary and Respiratory Medicine
- Complementary and alternative medicine top 10%
- Pharmacology
- Co-authors
- Jen‐Hwey ChiuKuang‐Kuo ChenSang‐Hue YenLing-Wei WangYuan-Chieh YehYi‐Hsuan LinSien‐Hung YangHsing‐Yu Chen
- Topics
- Complementary and Alternative Medicine Studies (6 papers)Color perception and design (5 papers)Plant-based Medicinal Research (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Radiation Oncology*Biology*PhysicsLife Sciences
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yi‐Hsien Lin
28 papers receiving 343 citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 84
- Oncology 68
- Pulmonary and Respiratory Medicine 64
- Complementary and alternative medicine 63
- Pharmacology 46
Countries citing papers authored by Yi‐Hsien Lin
This map shows the geographic impact of Yi‐Hsien Lin'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 Yi‐Hsien Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Hsien Lin more than expected).
Fields of papers citing papers by Yi‐Hsien Lin
This network shows the impact of papers produced by Yi‐Hsien Lin. 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 Yi‐Hsien Lin. The network helps show where Yi‐Hsien Lin may publish in the future.
Co-authorship network of co-authors of Yi‐Hsien Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Hsien Lin. A scholar is included among the top collaborators of Yi‐Hsien Lin 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 Yi‐Hsien Lin. Yi‐Hsien Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | The Application of Kansei Engineering and Morphological Analysis in Product Form De-sign | 1 |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 54 | |
| 12 | 2 | |
| 13 | 32 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 26 | |
| 17 | 42 | |
| 18 | 26 | |
| 19 | 21 | |
| 20 | 22 |
About Yi‐Hsien Lin
Yi‐Hsien Lin is a scholar working on Complementary and alternative medicine, Pharmacology and Otorhinolaryngology, having authored 31 papers that have together received 350 indexed citations. Recurring topics across this work include Complementary and Alternative Medicine Studies (6 papers), Color perception and design (5 papers) and Plant-based Medicinal Research (3 papers). The work is most often cited by research in Complementary and alternative medicine (63 citations), Otorhinolaryngology (18 citations) and Pharmacology (33 citations). Yi‐Hsien Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jen‐Hwey Chiu, Kuang‐Kuo Chen, Sang‐Hue Yen, Ling-Wei Wang, Yuan-Chieh Yeh, Yi‐Hsuan Lin, Sien‐Hung Yang, Hsing‐Yu Chen, Shiu‐Li Huang and Yee‐Min Jen. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and Life Sciences.
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.