Mingzhi Gao
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Energy Engineering and Power Technology top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Min ChenZhaoming QianChi ZhangWei YaoZhe ZhangZheng RenXiang LiChenxi Wang
- Topics
- Microgrid Control and Optimization (21 papers)Islanding Detection in Power Systems (14 papers)Advanced DC-DC Converters (12 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringRenewable Energy, Sustainability and the Environment
- Journals
- IEEE Transactions on Power ElectronicsEnergy Reports2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
In The Last Decade
Mingzhi Gao
28 papers receiving 385 citations
Peers
Comparison fields: 5 of 25
- Electrical and Electronic Engineering 371
- Control and Systems Engineering 248
- Renewable Energy, Sustainability and the Environment 157
- Energy Engineering and Power Technology 46
- Computer Vision and Pattern Recognition 27
Countries citing papers authored by Mingzhi Gao
This map shows the geographic impact of Mingzhi Gao'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 Mingzhi Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingzhi Gao more than expected).
Fields of papers citing papers by Mingzhi Gao
This network shows the impact of papers produced by Mingzhi Gao. 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 Mingzhi Gao. The network helps show where Mingzhi Gao may publish in the future.
Co-authorship network of co-authors of Mingzhi Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Mingzhi Gao. A scholar is included among the top collaborators of Mingzhi Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingzhi Gao. Mingzhi Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 20 | |
| 4 | 5 | |
| 5 | 21 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 3 | |
| 9 | 17 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | 100 | |
| 14 | 2 | |
| 15 | 20 | |
| 16 | 9 | |
| 17 | 32 | |
| 18 | 9 | |
| 19 | 15 | |
| 20 | 1 |
About Mingzhi Gao
Mingzhi Gao is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Renewable Energy, Sustainability and the Environment, having authored 28 papers that have together received 410 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (21 papers), Islanding Detection in Power Systems (14 papers) and Advanced DC-DC Converters (12 papers). The work is most often cited by research in Energy Engineering and Power Technology (46 citations), Control and Systems Engineering (248 citations) and Renewable Energy, Sustainability and the Environment (157 citations). Mingzhi Gao has collaborated with scholars based in China, Denmark and Singapore. Frequent co-authors include Min Chen, Zhaoming Qian, Chi Zhang, Wei Yao, Zhe Zhang, Zheng Ren, Xiang Li, Chenxi Wang, Haibing Hu and Ming Xu. Their work appears in journals such as IEEE Transactions on Power Electronics, Energy Reports and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
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.