Tae-Sun Yu
- Industrial and Manufacturing Engineering top 2%
- Computational Theory and Mathematics top 10%
- Control and Systems Engineering
- Computer Networks and Communications
- Management Information Systems
- Topics
- Scheduling and Optimization Algorithms (15 papers)Manufacturing Process and Optimization (10 papers)Advanced Manufacturing and Logistics Optimization (10 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputational Theory and MathematicsManagement Information Systems
- Journals
- European Journal of Operational ResearchInternational Journal of Production EconomicsInternational Journal of Production Research
- Partner nations
- South KoreaUnited States
In The Last Decade
Tae-Sun Yu
17 papers receiving 288 citations
Peers
Comparison fields: 5 of 21
- Industrial and Manufacturing Engineering 271
- Computational Theory and Mathematics 40
- Control and Systems Engineering 19
- Computer Networks and Communications 16
- Management Information Systems 12
Countries citing papers authored by Tae-Sun Yu
This map shows the geographic impact of Tae-Sun 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 Tae-Sun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae-Sun Yu more than expected).
Fields of papers citing papers by Tae-Sun Yu
This network shows the impact of papers produced by Tae-Sun 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 Tae-Sun Yu. The network helps show where Tae-Sun Yu may publish in the future.
Co-authorship network of co-authors of Tae-Sun Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Tae-Sun Yu. A scholar is included among the top collaborators of Tae-Sun 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 Tae-Sun Yu. Tae-Sun 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 | 15 | |
| 2 | 0 | |
| 3 | 25 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 15 | |
| 7 | 9 | |
| 8 | 20 | |
| 9 | 17 | |
| 10 | 12 | |
| 11 | 15 | |
| 12 | 18 | |
| 13 | 17 | |
| 14 | 44 | |
| 15 | 44 | |
| 16 | 18 | |
| 17 | 3 | |
| 18 | 7 |
About Tae-Sun Yu
Tae-Sun Yu is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Hardware and Architecture, having authored 18 papers that have together received 292 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (15 papers), Manufacturing Process and Optimization (10 papers) and Advanced Manufacturing and Logistics Optimization (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (271 citations), Computational Theory and Mathematics (40 citations) and Management Information Systems (12 citations). Tae-Sun Yu has collaborated with scholars based in South Korea and United States. Frequent co-authors include Tae‐Eog Lee, Hyun-Jung Kim, Jun-Hee Han, Michael Pinedo, Woojin Kim, Jun-Ho Lee and Jeonghwa Lee. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Economics and International Journal of Production 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.