Yushi Tan
Impact in
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- Smart Grid Security and Resilience
- Microgrid Control and Optimization
Papers in
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- Optimal Power Flow Distribution 5
- Energy Load and Power Forecasting 3
- Electric Power System Optimization 2
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- Smart Grid Security and Resilience 2
- Microgrid Control and Optimization 2
- Co-authors
- Daniel S. Kirschen (6 shared papers)Baosen Zhang (3 shared papers)Ning Zhang (1 shared paper)Yi Wang (1 shared paper)Tao Hong (1 shared paper)Chongqing Kang (1 shared paper)Payman Arabshahi (3 shared papers)Yize Chen (1 shared paper)
- Journals
- IEEE Transactions on Power Systems (4 papers)IEEE Transactions on Smart Grid (1 paper)ACM SIGMETRICS Performance Evaluation Review (1 paper)IEEE Transactions on Automatic Control (1 paper)PubMed (2 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Yushi Tan
11 papers receiving 493 citations
Peers
Comparison fields: 5 of 60
- Control and Systems Engineering 167
- Safety, Risk, Reliability and Quality 63
- Electrical and Electronic Engineering 391
- Automotive Engineering 61
- Management Science and Operations Research 62
Countries citing papers authored by Yushi Tan
This map shows the geographic impact of Yushi Tan'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 Yushi Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yushi Tan more than expected).
Fields of papers citing papers by Yushi Tan
This network shows the impact of papers produced by Yushi Tan. 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 Yushi Tan. The network helps show where Yushi Tan may publish in the future.
Co-authors
The 20 scholars most cited alongside Yushi Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 161 | |
| 2 | 2018 | 88 | |
| 3 | 2019 | 65 | |
| 4 | 2018 | 64 | |
| 5 | 2019 | 59 | |
| 6 | 2019 | 27 | |
| 7 | 2019 | 14 | |
| 8 | The incidence of IDDM in Singapore children. | 1998 | 13 |
| 9 | Epidemiology of diabetes in Singapore. | 1982 | 4 |
| 10 | 2020 | 3 | |
| 11 | 2020 | 1 |
About Yushi Tan
Yushi Tan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Endocrinology, Diabetes and Metabolism and Genetics, having authored 11 papers that have together received 499 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (5 papers), Energy Load and Power Forecasting (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Vehicle Routing Optimization Methods (2 papers), Electric Power System Optimization (2 papers), Smart Grid Security and Resilience (2 papers), Microgrid Control and Optimization (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Control and Systems Engineering (167 citations), Safety, Risk, Reliability and Quality (63 citations), Electrical and Electronic Engineering (391 citations), Automotive Engineering (61 citations) and Management Science and Operations Research (62 citations). Yushi Tan has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Daniel S. Kirschen, Baosen Zhang, Ning Zhang, Yi Wang, Tao Hong, Chongqing Kang, Payman Arabshahi, Yize Chen, Yuanyuan Shi and Bolun Xu. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, ACM SIGMETRICS Performance Evaluation Review, IEEE Transactions on Automatic Control and PubMed.
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.