Ruey-Lin Sheu
- Computational Theory and Mathematics top 2%
- Numerical Analysis top 5%
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Computational Mechanics
- Co-authors
- Shu‐Cherng FangŞ. İlker BirbilYong XiaDavid Yang GaoShu WangWenxun XingSoon‐Yi WuShu-Cherng Fang
- Topics
- Advanced Optimization Algorithms Research (29 papers)Optimization and Variational Analysis (22 papers)Optimization and Mathematical Programming (10 papers)
- Journals
- European Journal of Operational ResearchMathematical ProgrammingComputers & Mathematics with Applications
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Ruey-Lin Sheu
31 papers receiving 370 citations
Peers
Comparison fields: 5 of 54
- Computational Theory and Mathematics 226
- Numerical Analysis 216
- Control and Systems Engineering 120
- Artificial Intelligence 73
- Computational Mechanics 49
Countries citing papers authored by Ruey-Lin Sheu
This map shows the geographic impact of Ruey-Lin Sheu'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 Ruey-Lin Sheu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruey-Lin Sheu more than expected).
Fields of papers citing papers by Ruey-Lin Sheu
This network shows the impact of papers produced by Ruey-Lin Sheu. 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 Ruey-Lin Sheu. The network helps show where Ruey-Lin Sheu may publish in the future.
Co-authorship network of co-authors of Ruey-Lin Sheu
This figure shows the co-authorship network connecting the top 25 collaborators of Ruey-Lin Sheu. A scholar is included among the top collaborators of Ruey-Lin Sheu 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 Ruey-Lin Sheu. Ruey-Lin Sheu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 37 | |
| 9 | An SDP approach for some quadratic fractional problems (Nonlinear Analysis and Convex Analysis) | 1 |
| 10 | A Complete Characterization to S-Lemma with Equality | 2 |
| 11 | A Revisit to Quadratic Programming with One Inequality Quadratic Constraint via Matrix Pencil | 10 |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 41 | |
| 16 | 14 | |
| 17 | 29 | |
| 18 | 10 | |
| 19 | 2 | |
| 20 | 5 |
About Ruey-Lin Sheu
Ruey-Lin Sheu is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Control and Systems Engineering, having authored 35 papers that have together received 406 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (29 papers), Optimization and Variational Analysis (22 papers) and Optimization and Mathematical Programming (10 papers). The work is most often cited by research in Numerical Analysis (216 citations), Computational Theory and Mathematics (226 citations) and Control and Systems Engineering (120 citations). Ruey-Lin Sheu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shu‐Cherng Fang, Ş. İlker Birbil, Yong Xia, David Yang Gao, Shu Wang, Wenxun Xing, Soon‐Yi Wu, Shu-Cherng Fang, Siegfried Schaible and Shih-Ying Wu. Their work appears in journals such as European Journal of Operational Research, Mathematical Programming and Computers & Mathematics with Applications.
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.