Shu‐Yin Chiang
- Industrial and Manufacturing Engineering top 1%
- Management Information Systems top 5%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition top 10%
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- Semyon M. MeerkovC.-T. KuoJ.-T. LimYao‐Chiang KanJingshan LiMing-Che LeeSheng‐Cheng YehKai Lee
- Topics
- Scheduling and Optimization Algorithms (11 papers)Robotics and Sensor-Based Localization (8 papers)Advanced Queuing Theory Analysis (7 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement Information SystemsManagement Science and Operations Research
- Journals
- SensorsInternational Journal of Production ResearchIEEE Transactions on Robotics and Automation
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Shu‐Yin Chiang
35 papers receiving 570 citations
Peers
Comparison fields: 5 of 85
- Industrial and Manufacturing Engineering 371
- Management Information Systems 187
- Management Science and Operations Research 77
- Computer Vision and Pattern Recognition 62
- Safety, Risk, Reliability and Quality 54
Countries citing papers authored by Shu‐Yin Chiang
This map shows the geographic impact of Shu‐Yin Chiang'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 Shu‐Yin Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Yin Chiang more than expected).
Fields of papers citing papers by Shu‐Yin Chiang
This network shows the impact of papers produced by Shu‐Yin Chiang. 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 Shu‐Yin Chiang. The network helps show where Shu‐Yin Chiang may publish in the future.
Co-authorship network of co-authors of Shu‐Yin Chiang
This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Yin Chiang. A scholar is included among the top collaborators of Shu‐Yin Chiang 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 Shu‐Yin Chiang. Shu‐Yin Chiang 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 | 1 | |
| 3 | 41 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 35 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 17 | |
| 18 | 24 | |
| 19 | 5 | |
| 20 | 99 |
About Shu‐Yin Chiang
Shu‐Yin Chiang is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 595 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (11 papers), Robotics and Sensor-Based Localization (8 papers) and Advanced Queuing Theory Analysis (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (371 citations), Management Information Systems (187 citations) and Management Science and Operations Research (77 citations). Shu‐Yin Chiang has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Semyon M. Meerkov, C.-T. Kuo, J.-T. Lim, Yao‐Chiang Kan, Jingshan Li, Ming-Che Lee, Sheng‐Cheng Yeh, Kai Lee, Jinlong Wang and Yang Liu. Their work appears in journals such as Sensors, International Journal of Production Research and IEEE Transactions on Robotics and Automation.
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.