Dajun Ma

403 citations
16 papers · 264 · h-index 8

Impact in

Papers in

Dajun Ma

14 papers receiving 260 citations

Peers

Dajun Ma
Comparison fields: 5 of 20
  • Electrical and Electronic Engineering 259
  • Control and Systems Engineering 92
  • Energy Engineering and Power Technology 8
  • Automotive Engineering 21
  • Industrial and Manufacturing Engineering 7
Replace Fei Diao with:
Fei Diao United States
Ujjwal Karki United States
Anubrata Dey India
Yanjun Tian Denmark
Hidemine Obara Japan
Sandeep Kolluri Singapore
Tomoyuki Mannen Japan
Javier Chivite-Zabalza Spain
Sangshin Kwak South Korea
Dajun Ma relative to Fei Diao United States Fei Diao's profile →
Citations per field
00.5×3.6×
Fei Diao · 1×
Citations per year

Countries citing papers authored by Dajun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Dajun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202091
2 201951
3 202038
4 201724
5 202113
6 201610
7 201810
8 20219
9 20217
10 20223
11 20183
12 20202
13 20202
14 20201
15 20170
16 20240

About Dajun Ma

Dajun Ma is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Industrial and Manufacturing Engineering, Condensed Matter Physics and Energy Engineering and Power Technology, having authored 16 papers that have together received 264 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (11 papers), Silicon Carbide Semiconductor Technologies (9 papers), Multilevel Inverters and Converters (8 papers), HVDC Systems and Fault Protection (8 papers), Microgrid Control and Optimization (4 papers), High-Voltage Power Transmission Systems (3 papers), Railway Systems and Energy Efficiency (2 papers) and Power Systems and Renewable Energy (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (259 citations), Control and Systems Engineering (92 citations), Energy Engineering and Power Technology (8 citations), Automotive Engineering (21 citations) and Industrial and Manufacturing Engineering (7 citations). Dajun Ma has collaborated with scholars based in China. Frequent co-authors include Wu Chen, Xinbo Ruan, Liangcai Shu, Xiaohui Qu, Xin Zhan, Zhong Liu, Guangfu Ning, Cungang Hu, Qunjing Wang and Qiubo Ye. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics, Journal of Physics Conference Series and IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society.

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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