Shih-Ming Lin
Impact in
- General Dentistry top 10%
- Polymers and Plastics top 10%
- Transition Metal Oxide Nanomaterials
Papers in
-
- Advanced Memory and Neural Computing 6
- Ferroelectric and Negative Capacitance Devices 4
- Semiconductor materials and devices 2
-
- Protein Structure and Dynamics 2
- Co-authors
- Yu‐Lun Chueh (7 shared papers)Jian‐Shiou Huang (7 shared papers)Chi‐Hsin Huang (5 shared papers)Jr‐Hau He (1 shared paper)Wen-Yuan Chang (1 shared paper)Hung‐Ju Yen (1 shared paper)Guey‐Sheng Liou (1 shared paper)Ta‐Shun Chou (1 shared paper)
- Journals
- ACS Applied Materials & Interfaces (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)Applied Mathematical Modelling (1 paper)Journal of Electronic Materials (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Shih-Ming Lin
18 papers receiving 472 citations
Peers
Comparison fields: 5 of 69
- General Dentistry 19
- Polymers and Plastics 130
- Endocrinology 31
- Cellular and Molecular Neuroscience 106
- Electrical and Electronic Engineering 312
Countries citing papers authored by Shih-Ming Lin
This map shows the geographic impact of Shih-Ming 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 Shih-Ming Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih-Ming Lin more than expected).
Fields of papers citing papers by Shih-Ming Lin
This network shows the impact of papers produced by Shih-Ming 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 Shih-Ming Lin. The network helps show where Shih-Ming Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Shih-Ming Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 139 | |
| 2 | 2017 | 57 | |
| 3 | 2011 | 50 | |
| 4 | 2008 | 32 | |
| 5 | 2017 | 31 | |
| 6 | 2004 | 27 | |
| 7 | 2013 | 22 | |
| 8 | 2014 | 22 | |
| 9 | 2010 | 21 | |
| 10 | 2013 | 19 | |
| 11 | 2014 | 19 | |
| 12 | 2014 | 17 | |
| 13 | 2017 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2023 | 0 |
About Shih-Ming Lin
Shih-Ming Lin is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Materials Chemistry, Cellular and Molecular Neuroscience and Polymers and Plastics, having authored 19 papers that have together received 479 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Neuroscience and Neural Engineering (3 papers), Numerical methods in inverse problems (2 papers), Protein Structure and Dynamics (2 papers), Semiconductor materials and devices (2 papers), Iterative Methods for Nonlinear Equations (1 paper) and Supramolecular Chemistry and Complexes (1 paper). The work is most often cited by research in General Dentistry (19 citations), Polymers and Plastics (130 citations), Endocrinology (31 citations), Cellular and Molecular Neuroscience (106 citations) and Electrical and Electronic Engineering (312 citations). Shih-Ming Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yu‐Lun Chueh, Jian‐Shiou Huang, Chi‐Hsin Huang, Jr‐Hau He, Wen-Yuan Chang, Hung‐Ju Yen, Guey‐Sheng Liou, Ta‐Shun Chou, Jeff Seibert and Kathy K.H. Svoboda. Their work appears in journals such as ACS Applied Materials & Interfaces, Scientific Reports, Nature Communications, Applied Mathematical Modelling and Journal of Electronic Materials.
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.