Don Tan

479 citations
27 papers · 360 · h-index 10

Impact in

Papers in

Don Tan

25 papers receiving 337 citations

Peers

Don Tan
Comparison fields: 5 of 26
  • Control and Systems Engineering 176
  • Energy Engineering and Power Technology 20
  • Electrical and Electronic Engineering 336
  • Automotive Engineering 58
  • Renewable Energy, Sustainability and the Environment 41
Replace Shungang Xu with:
Shungang Xu China
Sebastian Styński Poland
Ahmed Elsanabary Australia
Yu Jin China
Matthew Rylander United States
Miguel Jiménez Carrizosa Spain
Jayaram Nakka India
Subhendu Bikash Santra India
Ammar Masaoud Malaysia
Phani Kumar Chamarthi United States
Don Tan relative to Shungang Xu China Shungang Xu's profile →
Citations per field
00.5×1.5×2.0×
Shungang Xu · 1×
Citations per year

Countries citing papers authored by Don Tan

Since Specialization
Citations

This map shows the geographic impact of Don 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 Don Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Tan more than expected).

Fields of papers citing papers by Don Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don 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 Don Tan. The network helps show where Don Tan may publish in the future.

Co-authors

The 25 scholars most cited alongside Don Tan, 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 Don Tan Line = papers co-authored together Don Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018120
2 201936
3 201529
4 201628
5 201422
6 201920
7 202014
8 201612
9 202312
10 20199
11 20179
12 20137
13 20175
14 20205
15 20235
16 20204
17 20174
18 20154
19 20133
20 20213

About Don Tan

Don Tan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Aerospace Engineering and Energy Engineering and Power Technology, having authored 27 papers that have together received 360 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (8 papers), Advanced DC-DC Converters (8 papers), Advanced Battery Technologies Research (6 papers), Multilevel Inverters and Converters (5 papers), HVDC Systems and Fault Protection (5 papers), Silicon Carbide Semiconductor Technologies (4 papers), Smart Grid Energy Management (4 papers) and Energy Harvesting in Wireless Networks (3 papers). The work is most often cited by research in Control and Systems Engineering (176 citations), Energy Engineering and Power Technology (20 citations), Electrical and Electronic Engineering (336 citations), Automotive Engineering (58 citations) and Renewable Energy, Sustainability and the Environment (41 citations). Don Tan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Wang Mao, Tao Zhao, Liuchen Chang, Xing Zhang, Zhengming Zhao, An Luo, Kai Li, Zhikang Shuai, Yan‐Fei Liu and Bochen Shi. Their work appears in journals such as IEEE Power Electronics Magazine, IEEE Journal of Emerging and Selected Topics in Power Electronics, IEEE Electrification Magazine, Chinese Journal of Electrical Engineering and CES Transactions on Electrical Machines and Systems.

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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