Guolin Yu
Impact in
- Condensed Matter Physics top 5%
- GaN-based semiconductor devices and materials
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- Optimization and Variational Analysis
- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Optimization and Variational Analysis 42
- Advanced Multi-Objective Optimization Algorithms 5
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- Machine Learning and ELM 9
- Machine Learning and Data Classification 8
- Metaheuristic Optimization Algorithms Research 7
- Co-authors
- Tetsuo Soga (7 shared papers)Nelson L. Rowell (7 shared papers)David J Lockwood (7 shared papers)Junji Watanabe (3 shared papers)Hiroyasu Ishikawa (1 shared paper)T. Jimbo (1 shared paper)Takashi Egawa (1 shared paper)M. Umeno (1 shared paper)
In The Last Decade
Guolin Yu
77 papers receiving 805 citations
Peers
Comparison fields: 5 of 58
- Condensed Matter Physics 205
- Computational Theory and Mathematics 130
- Surfaces, Coatings and Films 36
- Renewable Energy, Sustainability and the Environment 69
- Atomic and Molecular Physics, and Optics 122
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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 247 | |
| 2 | 2005 | 104 | |
| 3 | 2000 | 70 | |
| 4 | 1998 | 61 | |
| 5 | 2016 | 28 | |
| 6 | 2017 | 21 | |
| 7 | 2015 | 20 | |
| 8 | 2017 | 19 | |
| 9 | 2014 | 16 | |
| 10 | 2015 | 15 | |
| 11 | 2015 | 14 | |
| 12 | 2002 | 12 | |
| 13 | 2013 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2003 | 9 | |
| 16 | 2016 | 9 | |
| 17 | 2017 | 9 | |
| 18 | 2022 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2012 | 7 |
About Guolin Yu
Guolin Yu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Surfaces, Coatings and Films, having authored 90 papers that have together received 843 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (42 papers), Machine Learning and ELM (9 papers), Machine Learning and Data Classification (8 papers), Semiconductor materials and interfaces (8 papers), Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Face and Expression Recognition (5 papers) and Semiconductor Quantum Structures and Devices (4 papers). The work is most often cited by research in Condensed Matter Physics (205 citations), Computational Theory and Mathematics (130 citations), Surfaces, Coatings and Films (36 citations), Renewable Energy, Sustainability and the Environment (69 citations) and Atomic and Molecular Physics, and Optics (122 citations). Guolin Yu has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Tetsuo Soga, Nelson L. Rowell, David J Lockwood, Junji Watanabe, Hiroyasu Ishikawa, T. Jimbo, Takashi Egawa, M. Umeno, Masayoshi Umeno and Takashi Jimbo. Their work appears in journals such as Journal of Inequalities and Applications, Engineering Applications of Artificial Intelligence, Applied Physics Letters, Journal of Industrial and Management Optimization and Neurocomputing.
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.