Mingda Wang
Impact in
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- Microgrid Control and Optimization
Papers in
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- Multilevel Inverters and Converters 16
- Advanced DC-DC Converters 8
- Silicon Carbide Semiconductor Technologies 4
- Islanding Detection in Power Systems 3
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- Microgrid Control and Optimization 15
- Co-authors
- Xing Zhang (16 shared papers)Tao Zhao (10 shared papers)Wang Mao (6 shared papers)Fusheng Wang (6 shared papers)Yuhua Hu (4 shared papers)Xinyu Wang (4 shared papers)Guomin Xia (3 shared papers)Yigang Wang (3 shared papers)
In The Last Decade
Mingda Wang
27 papers receiving 474 citations
Peers
Comparison fields: 5 of 56
- Energy Engineering and Power Technology 49
- Control and Systems Engineering 220
- Electrical and Electronic Engineering 304
- Renewable Energy, Sustainability and the Environment 82
- Biomedical Engineering 90
Countries citing papers authored by Mingda Wang
This map shows the geographic impact of Mingda 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 Mingda Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingda Wang more than expected).
Fields of papers citing papers by Mingda Wang
This network shows the impact of papers produced by Mingda 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 Mingda Wang. The network helps show where Mingda Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingda 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
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 83 | |
| 2 | 2020 | 58 | |
| 3 | 2020 | 43 | |
| 4 | 2021 | 33 | |
| 5 | 2024 | 30 | |
| 6 | 2020 | 30 | |
| 7 | 2019 | 26 | |
| 8 | 2021 | 25 | |
| 9 | 2019 | 24 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 20 | |
| 12 | 2022 | 17 | |
| 13 | 2022 | 17 | |
| 14 | 2023 | 14 | |
| 15 | 2023 | 12 | |
| 16 | 2022 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Mingda Wang
Mingda Wang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Materials Chemistry, Biomedical Engineering and Renewable Energy, Sustainability and the Environment, having authored 30 papers that have together received 485 indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (16 papers), Microgrid Control and Optimization (15 papers), Advanced DC-DC Converters (8 papers), Silicon Carbide Semiconductor Technologies (4 papers), Nanoplatforms for cancer theranostics (4 papers), Photovoltaic System Optimization Techniques (3 papers), Islanding Detection in Power Systems (3 papers) and Luminescence and Fluorescent Materials (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (49 citations), Control and Systems Engineering (220 citations), Electrical and Electronic Engineering (304 citations), Renewable Energy, Sustainability and the Environment (82 citations) and Biomedical Engineering (90 citations). Mingda Wang has collaborated with scholars based in China, Germany and Malaysia. Frequent co-authors include Xing Zhang, Tao Zhao, Wang Mao, Fusheng Wang, Yuhua Hu, Xinyu Wang, Guomin Xia, Yigang Wang, Renxian Cao and Hongming Wang. Their work appears in journals such as IEEE Journal of Emerging and Selected Topics in Power Electronics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics, Materials and Frontiers in Public Health.
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.