Dan Wu
Impact in
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- Hybrid Renewable Energy Systems
- Power Systems and Renewable Energy
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- Microgrid Control and Optimization
Papers in
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- Power System Optimization and Stability 11
- Optimal Power Flow Distribution 11
- Smart Grid Energy Management 10
- Islanding Detection in Power Systems 10
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- Microgrid Control and Optimization 19
- Co-authors
- Juan C. Vásquez (12 shared papers)Josep M. Guerrero (12 shared papers)Fen Tang (9 shared papers)Tomislav Dragičević (9 shared papers)Maozhao Xie (6 shared papers)Lexuan Meng (2 shared papers)Hongsheng Liu (5 shared papers)Bernard C. Lesieutre (3 shared papers)
- Journals
- IEEE Transactions on Smart Grid (4 papers)IEEE Transactions on Power Systems (4 papers)Powder Technology (2 papers)Applied Thermal Engineering (2 papers)Experimental Thermal and Fluid Science (2 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Dan Wu
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Energy Engineering and Power Technology 194
- Control and Systems Engineering 929
- Electrical and Electronic Engineering 971
- Fluid Flow and Transfer Processes 80
- Automotive Engineering 100
Countries citing papers authored by Dan Wu
This map shows the geographic impact of Dan Wu'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 Dan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wu more than expected).
Fields of papers citing papers by Dan Wu
This network shows the impact of papers produced by Dan Wu. 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 Dan Wu. The network helps show where Dan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 217 | |
| 2 | 2014 | 201 | |
| 3 | 2015 | 169 | |
| 4 | 2015 | 93 | |
| 5 | 2021 | 44 | |
| 6 | 2014 | 40 | |
| 7 | 2022 | 37 | |
| 8 | 2019 | 36 | |
| 9 | 2009 | 35 | |
| 10 | 2017 | 33 | |
| 11 | 2023 | 27 | |
| 12 | 2017 | 24 | |
| 13 | 2008 | 24 | |
| 14 | 2010 | 23 | |
| 15 | 2011 | 23 | |
| 16 | 2021 | 22 | |
| 17 | 2014 | 22 | |
| 18 | 2015 | 21 | |
| 19 | 2022 | 17 | |
| 20 | 2014 | 17 |
About Dan Wu
Dan Wu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computational Mechanics, Safety, Risk, Reliability and Quality and Mechanical Engineering, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (19 papers), Power System Optimization and Stability (11 papers), Optimal Power Flow Distribution (11 papers), Smart Grid Energy Management (10 papers), Islanding Detection in Power Systems (10 papers), Combustion and flame dynamics (9 papers), Power Systems and Renewable Energy (5 papers) and Power System Reliability and Maintenance (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (194 citations), Control and Systems Engineering (929 citations), Electrical and Electronic Engineering (971 citations), Fluid Flow and Transfer Processes (80 citations) and Automotive Engineering (100 citations). Dan Wu has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Juan C. Vásquez, Josep M. Guerrero, Fen Tang, Tomislav Dragičević, Maozhao Xie, Lexuan Meng, Hongsheng Liu, Bernard C. Lesieutre, Eytan Modiano and Marija Ilić. Their work appears in journals such as IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, Powder Technology, Applied Thermal Engineering and Experimental Thermal and Fluid Science.
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.