Yong Shi
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Energy Engineering and Power Technology top 5%
- Automotive Engineering top 10%
- Artificial Intelligence
- Co-authors
- Xu YangMarc A. RosenGe ZhangAkbar MalekiJianhui SuChongzhao HanYan DuXin Wang
- Topics
- Advanced DC-DC Converters (19 papers)Multilevel Inverters and Converters (18 papers)Microgrid Control and Optimization (17 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
In The Last Decade
Yong Shi
42 papers receiving 509 citations
Peers
Comparison fields: 5 of 52
- Electrical and Electronic Engineering 439
- Control and Systems Engineering 205
- Energy Engineering and Power Technology 86
- Automotive Engineering 65
- Artificial Intelligence 50
Countries citing papers authored by Yong Shi
This map shows the geographic impact of Yong Shi'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 Yong Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Shi more than expected).
Fields of papers citing papers by Yong Shi
This network shows the impact of papers produced by Yong Shi. 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 Yong Shi. The network helps show where Yong Shi may publish in the future.
Co-authorship network of co-authors of Yong Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Yong Shi. A scholar is included among the top collaborators of Yong Shi 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 Yong Shi. Yong Shi 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 | 0 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 3 | |
| 6 | 112 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 38 | |
| 15 | 4 | |
| 16 | Unsupervised Learning for Finite Mixture Models Via Modified Gibbs Sampling | 2 |
| 17 | Adaptive UKF for target tracking with unknown process noise statistics | 41 |
| 18 | 4 | |
| 19 | 8 | |
| 20 | 2 |
About Yong Shi
Yong Shi is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 45 papers that have together received 534 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (19 papers), Multilevel Inverters and Converters (18 papers) and Microgrid Control and Optimization (17 papers). The work is most often cited by research in Energy Engineering and Power Technology (86 citations), Control and Systems Engineering (205 citations) and Electrical and Electronic Engineering (439 citations). Yong Shi has collaborated with scholars based in China, Canada and Iran. Frequent co-authors include Xu Yang, Marc A. Rosen, Ge Zhang, Akbar Maleki, Jianhui Su, Chongzhao Han, Yan Du, Xin Wang, Haining Wang and Ning Liu. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics 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.