Mi Dong
Impact in
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- Microgrid Control and Optimization
Papers in
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- Multilevel Inverters and Converters 17
- Advanced DC-DC Converters 16
- Energy Load and Power Forecasting 14
- Smart Grid Energy Management 13
- Wind Turbine Control Systems 9
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- Microgrid Control and Optimization 33
- Co-authors
- Dongran Song (38 shared papers)Jian Yang (24 shared papers)Jian Yang (20 shared papers)Young Hoon Joo (11 shared papers)Liansheng Huang (9 shared papers)Xiaojiao Chen (8 shared papers)Li Li (12 shared papers)Mei Su (8 shared papers)
- Journals
- IEEE Transactions on Power Electronics (9 papers)Energy (7 papers)Energy Conversion and Management (4 papers)Energies (4 papers)Applied Energy (4 papers)
- Partner nations
- ChinaSouth KoreaEgypt
In The Last Decade
Mi Dong
76 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 61
- Energy Engineering and Power Technology 125
- Control and Systems Engineering 485
- Electrical and Electronic Engineering 861
- Aerospace Engineering 264
- Automotive Engineering 82
Countries citing papers authored by Mi Dong
This map shows the geographic impact of Mi Dong'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 Mi Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Dong more than expected).
Fields of papers citing papers by Mi Dong
This network shows the impact of papers produced by Mi Dong. 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 Mi Dong. The network helps show where Mi Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi Dong, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 106 | |
| 2 | 2019 | 102 | |
| 3 | 2022 | 96 | |
| 4 | 2017 | 84 | |
| 5 | 2021 | 56 | |
| 6 | 2017 | 47 | |
| 7 | 2024 | 46 | |
| 8 | 2021 | 45 | |
| 9 | 2021 | 36 | |
| 10 | 2023 | 34 | |
| 11 | 2017 | 29 | |
| 12 | 2024 | 27 | |
| 13 | 2024 | 25 | |
| 14 | 2023 | 25 | |
| 15 | 2022 | 23 | |
| 16 | 2023 | 19 | |
| 17 | 2017 | 19 | |
| 18 | 2022 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2022 | 15 |
About Mi Dong
Mi Dong is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Aerospace Engineering, Energy Engineering and Power Technology and Automotive Engineering, having authored 88 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (33 papers), Multilevel Inverters and Converters (17 papers), Wind Energy Research and Development (16 papers), Advanced DC-DC Converters (16 papers), Energy Load and Power Forecasting (14 papers), Smart Grid Energy Management (13 papers), Wind Turbine Control Systems (9 papers) and Power Systems and Renewable Energy (9 papers). The work is most often cited by research in Energy Engineering and Power Technology (125 citations), Control and Systems Engineering (485 citations), Electrical and Electronic Engineering (861 citations), Aerospace Engineering (264 citations) and Automotive Engineering (82 citations). Mi Dong has collaborated with scholars based in China, South Korea and Egypt. Frequent co-authors include Dongran Song, Jian Yang, Jian Yang, Young Hoon Joo, Liansheng Huang, Xiaojiao Chen, Li Li, Mei Su, Yinghua Wang and M. Talaat. Their work appears in journals such as IEEE Transactions on Power Electronics, Energy, Energy Conversion and Management, Energies and Applied Energy.
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.