Dan Sun
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- Power Systems and Renewable Energy 23
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- Microgrid Control and Optimization 55
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- Multilevel Inverters and Converters 60
- Sensorless Control of Electric Motors 31
- Advanced DC-DC Converters 27
- Wind Turbine Control Systems 24
- Electric Motor Design and Analysis 24
- HVDC Systems and Fault Protection 16
- Automotive Engineering top 10%
- Co-authors
- Heng NianXiaohe WangWei HuZ. Q. ZhuLei ShangJiabing HuYikang HeMin Chen
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Power Electronics (13 papers)Electronics Letters (7 papers)IEEE Transactions on Industrial Electronics (6 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Dan Sun
107 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 46
- Energy Engineering and Power Technology 184
- Control and Systems Engineering 1.1k
- Electrical and Electronic Engineering 1.9k
- Automotive Engineering 79
- Mechanical Engineering 155
Countries citing papers authored by Dan Sun
This map shows the geographic impact of Dan Sun'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 Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Sun more than expected).
Fields of papers citing papers by Dan Sun
This network shows the impact of papers produced by Dan Sun. 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 Sun. The network helps show where Dan Sun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Sun, 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 | 2025 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 49 | |
| 10 | 2020 | 44 | |
| 11 | 2020 | 27 | |
| 12 | 2020 | 28 | |
| 13 | 2020 | 86 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 40 | |
| 16 | 2020 | 28 | |
| 17 | 2019 | 61 | |
| 18 | 2019 | 44 | |
| 19 | 2018 | 74 | |
| 20 | 2002 | 1 |
About Dan Sun
Dan Sun is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Aerospace Engineering, having authored 116 papers that have together received 2.1k indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (60 papers), Microgrid Control and Optimization (55 papers), Sensorless Control of Electric Motors (31 papers), Advanced DC-DC Converters (27 papers), Wind Turbine Control Systems (24 papers), Electric Motor Design and Analysis (24 papers), Power Systems and Renewable Energy (23 papers) and HVDC Systems and Fault Protection (16 papers). The work is most often cited by research in Energy Engineering and Power Technology (184 citations), Control and Systems Engineering (1.1k citations), Electrical and Electronic Engineering (1.9k citations), Automotive Engineering (79 citations) and Mechanical Engineering (155 citations). Dan Sun has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Heng Nian, Xiaohe Wang, Wei Hu, Xiaohe Wang, Z. Q. Zhu, Lei Shang, Jiabing Hu, Yikang He, Min Chen and Wenhan Chen. Their work appears in journals such as IEEE Transactions on Power Electronics, Electronics Letters, IEEE Transactions on Industrial Electronics, IEEE Transactions on Energy Conversion and IET Power Electronics.
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.