Po-Lung Yu
- Management Science and Operations Research top 2%
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 10%
- Numerical Analysis top 5%
- Co-authors
- Eiji TakedaYong ShiChun‐Yen ChangJianming LiMoussa LarbaniDazhi ZhangFa‐Ching ChenAndrew N. K. Chen
- Topics
- Optimization and Mathematical Programming (6 papers)Multi-Criteria Decision Making (5 papers)Cognitive Science and Mapping (5 papers)
- Cited by
- Management Science and Operations ResearchNumerical AnalysisComputational Theory and Mathematics
- Partner nations
- United StatesTaiwanMalaysia
In The Last Decade
Po-Lung Yu
20 papers receiving 771 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Management Science and Operations Research 347
- Control and Systems Engineering 249
- Computational Theory and Mathematics 212
- Artificial Intelligence 124
- Numerical Analysis 108
Countries citing papers authored by Po-Lung Yu
This map shows the geographic impact of Po-Lung 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 Po-Lung Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Po-Lung Yu more than expected).
Fields of papers citing papers by Po-Lung Yu
This network shows the impact of papers produced by Po-Lung 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 Po-Lung Yu. The network helps show where Po-Lung Yu may publish in the future.
Co-authorship network of co-authors of Po-Lung Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Po-Lung Yu. A scholar is included among the top collaborators of Po-Lung Yu 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 Po-Lung Yu. Po-Lung Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 20 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | Made By Taiwan: Booming in the Information Technology Era | 16 |
| 11 | 23 | |
| 12 | 2 | |
| 13 | 27 | |
| 14 | 14 | |
| 15 | 3 | |
| 16 | Restructuring and computer support in multiple criteria decision-making | 1 |
| 17 | 196 | |
| 18 | Multiple-Criteria Decision Making Concepts, Techniques, and Extensionsbreakdown → | 495 |
| 19 | Advertising games in duopoly market expansion | 3 |
| 20 | 3 |
About Po-Lung Yu
Po-Lung Yu is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Artificial Intelligence, having authored 21 papers that have together received 834 indexed citations. Recurring topics across this work include Optimization and Mathematical Programming (6 papers), Multi-Criteria Decision Making (5 papers) and Cognitive Science and Mapping (5 papers). The work is most often cited by research in Management Science and Operations Research (347 citations), Numerical Analysis (108 citations) and Computational Theory and Mathematics (212 citations). Po-Lung Yu has collaborated with scholars based in United States, Taiwan and Malaysia. Frequent co-authors include Eiji Takeda, Yong Shi, Chun‐Yen Chang, Jianming Li, Chun‐Yen Chang, Moussa Larbani, Dazhi Zhang, Fa‐Ching Chen and Andrew N. K. Chen. Their work appears in journals such as European Journal of Operational Research, Phytochemistry and Computers & Operations 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.