Songda Wang

543 citations
24 papers · 382 · h-index 9

Impact in

Papers in

Songda Wang

22 papers receiving 373 citations

Peers

Songda Wang
Comparison fields: 5 of 22
  • Control and Systems Engineering 152
  • Electrical and Electronic Engineering 351
  • Energy Engineering and Power Technology 11
  • Industrial and Manufacturing Engineering 24
  • Automotive Engineering 16
Replace Michael Adam Zagrodnik with:
Michael Adam Zagrodnik Singapore
Marius Langwasser Germany
Yanjun Tian Denmark
Ryo Maeda Japan
Sandeep Kolluri Singapore
Dajun Ma China
Mauricio Espinoza Costa Rica
Hak-Jun Lee South Korea
Jae-Jung Jung South Korea
Qian Heng China
Songda Wang relative to Michael Adam Zagrodnik Singapore Michael Adam Zagrodnik's profile →
Citations per field
00.5×4.8×
Michael Adam Zagrodnik · 1×
Citations per year

Countries citing papers authored by Songda Wang

Since Specialization
Citations

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

Fields of papers citing papers by Songda Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018102
2 202058
3 202056
4 202329
5 202029
6 202219
7 202116
8 202214
9 20219
10 20208
11 20188
12 20215
13 20255
14 20204
15 20194
16 20194
17 20243
18 20173
19 20162
20 20182

About Songda Wang

Songda Wang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Surgery and Condensed Matter Physics, having authored 24 papers that have together received 382 indexed citations. Recurring topics across this work include HVDC Systems and Fault Protection (16 papers), Multilevel Inverters and Converters (9 papers), High-Voltage Power Transmission Systems (8 papers), Silicon Carbide Semiconductor Technologies (7 papers), Advanced DC-DC Converters (7 papers), Microgrid Control and Optimization (5 papers), Advanced Battery Technologies Research (3 papers) and Power Quality and Harmonics (2 papers). The work is most often cited by research in Control and Systems Engineering (152 citations), Electrical and Electronic Engineering (351 citations), Energy Engineering and Power Technology (11 citations), Industrial and Manufacturing Engineering (24 citations) and Automotive Engineering (16 citations). Songda Wang has collaborated with scholars based in Denmark, Netherlands and China. Frequent co-authors include Remus Teodorescu, Tomislav Dragičević, Yuan Gao, Sanjay K. Chaudhary, Josep M. Guerrero, Pengfei Hu, Gustavo Gontijo, Shuqi Li, Patrick Wheeler and Tamás Kerekes. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics, Energies, Electric Power Systems Research and IEEE Transactions on Energy Conversion.

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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