D.C. Yu
Impact in
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- Power Systems Fault Detection
- Microgrid Control and Optimization
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- Energy Load and Power Forecasting
- Optimal Power Flow Distribution
- Power System Optimization and Stability
- Islanding Detection in Power Systems
Papers in
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- Energy Load and Power Forecasting 4
- Power Transformer Diagnostics and Insulation 3
- Power System Optimization and Stability 3
- Optimal Power Flow Distribution 2
- Multilevel Inverters and Converters 1
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- Microgrid Control and Optimization 2
- Co-authors
- L. Kojovic (3 shared papers)Peter Haddawy (1 shared paper)Hong‐Jun Yoon (2 shared papers)Wing‐Wa Yan (1 shared paper)R. Betancourt (1 shared paper)F.L. Alvarado (1 shared paper)David A. Stone (1 shared paper)Adel Nasiri (1 shared paper)
- Journals
- IEEE Transactions on Power Systems (5 papers)IEEE Transactions on Power Delivery (3 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
D.C. Yu
13 papers receiving 580 citations
Peers
Comparison fields: 5 of 53
- Control and Systems Engineering 264
- Electrical and Electronic Engineering 522
- Safety, Risk, Reliability and Quality 80
- Management Science and Operations Research 77
- Statistics, Probability and Uncertainty 34
Countries citing papers authored by D.C. Yu
This map shows the geographic impact of D.C. 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 D.C. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.C. Yu more than expected).
Fields of papers citing papers by D.C. Yu
This network shows the impact of papers produced by D.C. 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 D.C. Yu. The network helps show where D.C. Yu may publish in the future.
Co-authors
The 17 scholars most cited alongside D.C. Yu, 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 | 1992 | 185 | |
| 2 | 2001 | 99 | |
| 3 | 1994 | 85 | |
| 4 | 1999 | 80 | |
| 5 | 2006 | 66 | |
| 6 | 1990 | 61 | |
| 7 | 1999 | 26 | |
| 8 | 2012 | 10 | |
| 9 | 2002 | 9 | |
| 10 | 2005 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 1991 | 1 |
About D.C. Yu
D.C. Yu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 628 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (4 papers), Power Transformer Diagnostics and Insulation (3 papers), Power System Optimization and Stability (3 papers), Microgrid Control and Optimization (2 papers), Non-Destructive Testing Techniques (2 papers), Optimal Power Flow Distribution (2 papers), Risk and Safety Analysis (1 paper) and Multilevel Inverters and Converters (1 paper). The work is most often cited by research in Control and Systems Engineering (264 citations), Electrical and Electronic Engineering (522 citations), Safety, Risk, Reliability and Quality (80 citations), Management Science and Operations Research (77 citations) and Statistics, Probability and Uncertainty (34 citations). D.C. Yu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include L. Kojovic, Peter Haddawy, Hong‐Jun Yoon, Wing‐Wa Yan, R. Betancourt, F.L. Alvarado, David A. Stone, Adel Nasiri, Haijun Liu and Conor McCarthy. Their work appears in journals such as IEEE Transactions on Power Systems and IEEE Transactions on Power Delivery.
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.