Dayi Li

36 papers receiving 360 citations

Peers

Dayi Li
Comparison fields: 5 of 32
  • Energy Engineering and Power Technology 32
  • Control and Systems Engineering 227
  • Electrical and Electronic Engineering 336
  • Electronic, Optical and Magnetic Materials 72
  • Automotive Engineering 20
Replace Hamid Reza Mohammadi with:
Hamid Reza Mohammadi Iran
Wei‐Neng Chang Taiwan
Luís F. C. Monteiro Brazil
Robson Bauwelz Gonzatti Brazil
Jozef Ghijselen Belgium
P. Jintakosonwit Japan
Rondineli Rodrigues Pereira Brazil
Yener Akkaya Türkiye
C.J. Melhorn United States
Guo Xiaoqiang China
Dayi Li relative to Hamid Reza Mohammadi Iran Hamid Reza Mohammadi's profile →
Citations per field
00.5×1.6×
Hamid Reza Mohammadi · 1×
Citations per year

Countries citing papers authored by Dayi Li

Since Specialization
Citations

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

Fields of papers citing papers by Dayi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021141
2 201653
3 201436
4 200728
5 202116
6 201511
7 201811
8 202410
9
A novel active power filter for the voltage-source type harmonic source
20088
10 20186
11 20226
12 20065
13
A novel variable reactor with transformer and inverter control
20084
14 20184
15 19994
16
A novel series hybrid single-phase active power filter
20044
17 20173
18 20152
19 20212
20 20252

About Dayi Li

Dayi Li is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Aerospace Engineering, having authored 52 papers that have together received 373 indexed citations. Recurring topics across this work include Magnetic Properties and Applications (14 papers), Power Quality and Harmonics (13 papers), Microgrid Control and Optimization (11 papers), High-Voltage Power Transmission Systems (11 papers), Power Systems and Renewable Energy (10 papers), HVDC Systems and Fault Protection (7 papers), Advanced DC-DC Converters (4 papers) and Thermal Analysis in Power Transmission (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (32 citations), Control and Systems Engineering (227 citations), Electrical and Electronic Engineering (336 citations), Electronic, Optical and Magnetic Materials (72 citations) and Automotive Engineering (20 citations). Dayi Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Z. Zhu, Jie Gong, Wenhao Pan, Yi Qin, Kai Yang, Jing Hu, Fei Xiong, Wei Xu, Y Liu and Weiyu Wang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Energies, IET Power Electronics, IEEE Transactions on Power Electronics and IEEE Access.

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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