Mi Tang
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Energy Engineering and Power Technology top 10%
- Electronic, Optical and Magnetic Materials
- Co-authors
- Pericle ZanchettaShafiq OdhanoAndrea FormentiniAlberto GaetaStefano BifarettiXiaosheng LiuMing YangDianguo Xu
- Topics
- Multilevel Inverters and Converters (17 papers)Sensorless Control of Electric Motors (16 papers)Iterative Learning Control Systems (13 papers)
- Cited by
- Control and Systems EngineeringEnergy Engineering and Power TechnologyElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsIEEE Transactions on Power Electronics
- Partner nations
- United KingdomItalyChina
In The Last Decade
Mi Tang
34 papers receiving 422 citations
Peers
Comparison fields: 5 of 28
- Electrical and Electronic Engineering 313
- Control and Systems Engineering 271
- Mechanical Engineering 79
- Energy Engineering and Power Technology 34
- Electronic, Optical and Magnetic Materials 31
Countries citing papers authored by Mi Tang
This map shows the geographic impact of Mi Tang'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 Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Tang more than expected).
Fields of papers citing papers by Mi Tang
This network shows the impact of papers produced by Mi Tang. 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 Tang. The network helps show where Mi Tang may publish in the future.
Co-authorship network of co-authors of Mi Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Mi Tang. A scholar is included among the top collaborators of Mi Tang 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 Mi Tang. Mi Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 13 | |
| 5 | 11 | |
| 6 | 29 | |
| 7 | 11 | |
| 8 | 16 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 22 | |
| 12 | 60 | |
| 13 | 23 | |
| 14 | 66 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 57 | |
| 19 | Improved RL method based on non-uniform kernel | 1 |
| 20 | 0 |
About Mi Tang
Mi Tang is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 38 papers that have together received 428 indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (17 papers), Sensorless Control of Electric Motors (16 papers) and Iterative Learning Control Systems (13 papers). The work is most often cited by research in Control and Systems Engineering (271 citations), Energy Engineering and Power Technology (34 citations) and Electrical and Electronic Engineering (313 citations). Mi Tang has collaborated with scholars based in United Kingdom, Italy and China. Frequent co-authors include Pericle Zanchetta, Shafiq Odhano, Andrea Formentini, Alberto Gaeta, Stefano Bifaretti, Xiaosheng Liu, Ming Yang, Dianguo Xu, Mauro Di Nardo and Yongxiang Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.
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.