Dan Sun

2.7k citations
116 papers · 2.1k · h-index 27

Impact in

Papers in

Dan Sun

107 papers receiving 2.0k citations

Peers

Dan Sun
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
Replace Debaprasad Kastha with:
Debaprasad Kastha India
D. Borojevic United States
Jul‐Ki Seok South Korea
Mohamed Rashed United Kingdom
Fengjiang Wu China
Badreddine Babes Algeria
P.C. Kjær Denmark
Jafar Soltani Iran
Dan Sun relative to Debaprasad Kastha India Debaprasad Kastha's profile →
Citations per field
00.5×1.5×2.3×
Debaprasad Kastha · 1×
Citations per year

Countries citing papers authored by Dan Sun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Dan Sun Line = papers co-authored together Dan Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016125
2 2011113
3 2015104
4 201798
5 201687
6 202086
7 201874
8 201765
9 201664
10 201961
11 201861
12 201355
13 202149
14 202044
15 201944
16 201744
17 202040
18 201839
19 200434
20 201932

About Dan Sun

Dan Sun is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Mechanical Engineering 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), Electric Motor Design and Analysis (24 papers), Wind Turbine Control Systems (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.

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