Guolin Yu
Impact in
- Condensed Matter Physics top 5%
- GaN-based semiconductor devices and materials
- Numerical Analysis top 10%
Papers in ⓘ
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- Optimization and Variational Analysis 42
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- Advanced Optimization Algorithms Research 29
- Co-authors
- Tetsuo Soga (13 shared papers)Junji Watanabe (9 shared papers)T. Jimbo (9 shared papers)D. J. Lockwood (13 shared papers)N. L. Rowell (13 shared papers)M. Umeno (7 shared papers)Takashi Egawa (5 shared papers)Hiroyasu Ishikawa (4 shared papers)
In The Last Decade
Guolin Yu
88 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 78
- Condensed Matter Physics 388
- Numerical Analysis 58
- Atomic and Molecular Physics, and Optics 308
- Electronic, Optical and Magnetic Materials 180
- Computational Theory and Mathematics 132
Countries citing papers authored by Guolin Yu
This map shows the geographic impact of Guolin Yu'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 Guolin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guolin Yu more than expected).
Fields of papers citing papers by Guolin Yu
This network shows the impact of papers produced by Guolin Yu. 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 Guolin Yu. The network helps show where Guolin Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guolin Yu, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 241 | |
| 2 | 2005 | 99 | |
| 3 | 2000 | 69 | |
| 4 | 1998 | 60 | |
| 5 | 1998 | 56 | |
| 6 | 1998 | 47 | |
| 7 | 1998 | 42 | |
| 8 | 2004 | 28 | |
| 9 | 2016 | 26 | |
| 10 | 2017 | 19 | |
| 11 | 2015 | 18 | |
| 12 | 2017 | 18 | |
| 13 | 1998 | 17 | |
| 14 | 2014 | 15 | |
| 15 | 1997 | 14 | |
| 16 | 2013 | 12 | |
| 17 | 2004 | 12 | |
| 18 | 2002 | 12 | |
| 19 | 2015 | 12 | |
| 20 | 2001 | 11 |
About Guolin Yu
Guolin Yu is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 106 papers that have together received 1.1k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (42 papers), Advanced Optimization Algorithms Research (29 papers), Semiconductor Quantum Structures and Devices (17 papers), Face and Expression Recognition (15 papers), Machine Learning and ELM (15 papers), GaN-based semiconductor devices and materials (13 papers), Optimization and Mathematical Programming (10 papers) and Metaheuristic Optimization Algorithms Research (9 papers). The work is most often cited by research in Condensed Matter Physics (388 citations), Numerical Analysis (58 citations), Atomic and Molecular Physics, and Optics (308 citations), Electronic, Optical and Magnetic Materials (180 citations) and Computational Theory and Mathematics (132 citations). Guolin Yu has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Tetsuo Soga, Junji Watanabe, T. Jimbo, D. J. Lockwood, N. L. Rowell, M. Umeno, Takashi Egawa, Hiroyasu Ishikawa, Takashi Jimbo and Masayoshi Umeno. Their work appears in journals such as Applied Physics Letters, Journal of Inequalities and Applications, Engineering Applications of Artificial Intelligence, Journal of Applied Physics and Journal of Industrial and Management Optimization.
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.