Chun-Yi Lin
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Radio Frequency Integrated Circuit Design 3
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- Face and Expression Recognition 2
- Co-authors
- Guan-Chun Luh (6 shared papers)Mien‐Chie Hung (3 shared papers)Chien‐Chen Lai (3 shared papers)Long‐Yuan Li (3 shared papers)Chia‐Hung Kao (9 shared papers)Bin Shi (2 shared papers)Yongkun Wei (2 shared papers)Jer-Yen Yang (2 shared papers)
- Journals
- Electronics (3 papers)Applied Soft Computing (3 papers)Nature Cell Biology (2 papers)Sensors (2 papers)ACS Omega (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chun-Yi Lin
53 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 146
- Hepatology 97
- Computational Theory and Mathematics 184
- Civil and Structural Engineering 246
- Molecular Biology 599
- Cancer Research 114
Countries citing papers authored by Chun-Yi Lin
This map shows the geographic impact of Chun-Yi 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 Chun-Yi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Yi Lin more than expected).
Fields of papers citing papers by Chun-Yi Lin
This network shows the impact of papers produced by Chun-Yi 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 Chun-Yi Lin. The network helps show where Chun-Yi Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun-Yi 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
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 311 | |
| 2 | 2011 | 196 | |
| 3 | 2008 | 164 | |
| 4 | 2010 | 108 | |
| 5 | 2011 | 108 | |
| 6 | 2009 | 83 | |
| 7 | 2011 | 74 | |
| 8 | 2015 | 64 | |
| 9 | 2007 | 53 | |
| 10 | 2022 | 48 | |
| 11 | 2017 | 38 | |
| 12 | 2011 | 35 | |
| 13 | 2010 | 33 | |
| 14 | 2016 | 28 | |
| 15 | 2010 | 28 | |
| 16 | 2020 | 27 | |
| 17 | 2002 | 25 | |
| 18 | 2007 | 23 | |
| 19 | 2015 | 20 | |
| 20 | 2014 | 20 |
About Chun-Yi Lin
Chun-Yi Lin is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Civil and Structural Engineering and Cognitive Neuroscience, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topology Optimization in Engineering (5 papers), Metaheuristic Optimization Algorithms Research (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Radio Frequency Integrated Circuit Design (3 papers), EEG and Brain-Computer Interfaces (3 papers), Face and Expression Recognition (2 papers), Natural Language Processing Techniques (2 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Hepatology (97 citations), Computational Theory and Mathematics (184 citations), Civil and Structural Engineering (246 citations), Molecular Biology (599 citations) and Cancer Research (114 citations). Chun-Yi Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Guan-Chun Luh, Mien‐Chie Hung, Chien‐Chen Lai, Long‐Yuan Li, Chia‐Hung Kao, Bin Shi, Yongkun Wei, Jer-Yen Yang, Cheng‐Chieh Lin and Su‐Peng Yeh. Their work appears in journals such as Electronics, Applied Soft Computing, Nature Cell Biology, Sensors and ACS Omega.
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.