Chien‐Hung Lin
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Cardiology and Cardiovascular Medicine top 10%
- Cognitive Neuroscience top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Jiann-Shing ShiehMaysam AbbodKuochen WangH. HochengChao-Ming ChenDar-Yuan ChangChing‐Jong LiaoGuang‐Yu Guo
- Topics
- Nanofabrication and Lithography Techniques (11 papers)Advancements in Photolithography Techniques (8 papers)3D IC and TSV technologies (6 papers)
- Partner nations
- TaiwanUnited KingdomIndonesia
In The Last Decade
Chien‐Hung Lin
56 papers receiving 773 citations
Peers
Comparison fields: 5 of 96
- Biomedical Engineering 271
- Electrical and Electronic Engineering 231
- Cardiology and Cardiovascular Medicine 217
- Cognitive Neuroscience 185
- Computer Networks and Communications 79
Countries citing papers authored by Chien‐Hung Lin
This map shows the geographic impact of Chien‐Hung 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 Chien‐Hung Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Hung Lin more than expected).
Fields of papers citing papers by Chien‐Hung Lin
This network shows the impact of papers produced by Chien‐Hung 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 Chien‐Hung Lin. The network helps show where Chien‐Hung Lin may publish in the future.
Co-authorship network of co-authors of Chien‐Hung Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Hung Lin. A scholar is included among the top collaborators of Chien‐Hung 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 Chien‐Hung Lin. Chien‐Hung 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 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 44 | |
| 12 | 21 | |
| 13 | 22 | |
| 14 | High speed multiplier based on the algorithm of Chinese abacus | 1 |
| 15 | Assisted-heating for ultrasonic nanoimprint lithography | 4 |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 5 | |
| 19 | 19 | |
| 20 | 3 |
About Chien‐Hung Lin
Chien‐Hung Lin is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Hardware and Architecture, having authored 58 papers that have together received 797 indexed citations. Recurring topics across this work include Nanofabrication and Lithography Techniques (11 papers), Advancements in Photolithography Techniques (8 papers) and 3D IC and TSV technologies (6 papers). The work is most often cited by research in Cognitive Neuroscience (185 citations), Cardiology and Cardiovascular Medicine (217 citations) and Biomedical Engineering (271 citations). Chien‐Hung Lin has collaborated with scholars based in Taiwan, United Kingdom and Indonesia. Frequent co-authors include Jiann-Shing Shieh, Maysam Abbod, Kuochen Wang, H. Hocheng, Chao-Ming Chen, Dar-Yuan Chang, Ching‐Jong Liao, Guang‐Yu Guo, Chih‐Yu Chang and Yian Tai. Their work appears in journals such as PLoS ONE, Journal of Applied Physics and European Journal of Operational Research.
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.