Shunliang Wang
-
- Power Systems and Renewable Energy 11
-
- Microgrid Control and Optimization 36
-
- HVDC Systems and Fault Protection 51
- Multilevel Inverters and Converters 30
- High-Voltage Power Transmission Systems 26
- Advanced DC-DC Converters 20
- Silicon Carbide Semiconductor Technologies 18
- Islanding Detection in Power Systems 11
- Automotive Engineering top 10%
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Power Electronics (26 papers)IEEE Transactions on Industrial Electronics (8 papers)International Journal of Electrical Power & Energy Systems (6 papers)
- Partner nations
- ChinaDenmarkUnited States
In The Last Decade
Shunliang Wang
75 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 42
- Energy Engineering and Power Technology 91
- Control and Systems Engineering 626
- Electrical and Electronic Engineering 1.1k
- Automotive Engineering 118
- Industrial and Manufacturing Engineering 46
Countries citing papers authored by Shunliang Wang
This map shows the geographic impact of Shunliang 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 Shunliang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunliang Wang more than expected).
Fields of papers citing papers by Shunliang Wang
This network shows the impact of papers produced by Shunliang 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 Shunliang Wang. The network helps show where Shunliang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shunliang Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 11 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 15 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 53 | |
| 16 | 2021 | 9 | |
| 17 | 2020 | 10 | |
| 18 | 2019 | 4 | |
| 19 | 2016 | 23 | |
| 20 | 2016 | 4 |
About Shunliang Wang
Shunliang Wang is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include HVDC Systems and Fault Protection (51 papers), Microgrid Control and Optimization (36 papers), Multilevel Inverters and Converters (30 papers), High-Voltage Power Transmission Systems (26 papers), Advanced DC-DC Converters (20 papers), Silicon Carbide Semiconductor Technologies (18 papers), Power Systems and Renewable Energy (11 papers) and Islanding Detection in Power Systems (11 papers). The work is most often cited by research in Energy Engineering and Power Technology (91 citations), Control and Systems Engineering (626 citations) and Electrical and Electronic Engineering (1.1k citations). Shunliang Wang has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Tianqi Liu, Junpeng Ma, Xiaoyun Feng, Wensheng Song, Xinglai Ge, Ji Shu, Bin Gou, J.B. Kuo, T.G. Habetler and Yuqing Dong. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics, International Journal of Electrical Power & Energy Systems, IEEE Transactions on Power Delivery 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.