Xu Cai
Impact in
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- Power Systems and Renewable Energy
- Control and Systems Engineering top 0.2%
- Microgrid Control and Optimization
Papers in
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- Power Systems and Renewable Energy 62
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- Microgrid Control and Optimization 179
In The Last Decade
Xu Cai
398 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Energy Engineering and Power Technology 712
- Control and Systems Engineering 3.5k
- Electrical and Electronic Engineering 5.6k
- Automotive Engineering 311
- Industrial and Manufacturing Engineering 127
Countries citing papers authored by Xu Cai
This map shows the geographic impact of Xu Cai'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 Xu Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xu Cai more than expected).
Fields of papers citing papers by Xu Cai
This network shows the impact of papers produced by Xu Cai. 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 Xu Cai. The network helps show where Xu Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xu Cai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 19 | |
| 10 | 2020 | 44 | |
| 11 | 2020 | 20 | |
| 12 | 2020 | 66 | |
| 13 | 2019 | 30 | |
| 14 | 2019 | 41 | |
| 15 | 2019 | 40 | |
| 16 | 2017 | 2 | |
| 17 | 2013 | 4 | |
| 18 | Short-term Wind Speed Prediction Based on Grey System Theory Model in the Region of China | 2012 | 1 |
| 19 | Design and Actualization of Wind Farm and Wind Turbine Imitation System | 2008 | 1 |
| 20 | Application of Fractal Theory in the Fault Classification for Distribution Systems | 2006 | 2 |
About Xu Cai
Xu Cai is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering, Electrical and Electronic Engineering, Automotive Engineering and Condensed Matter Physics, having authored 426 papers that have together received 6.1k indexed citations. Recurring topics across this work include HVDC Systems and Fault Protection (199 papers), Microgrid Control and Optimization (179 papers), High-Voltage Power Transmission Systems (97 papers), Advanced DC-DC Converters (95 papers), Multilevel Inverters and Converters (89 papers), Wind Turbine Control Systems (71 papers), Silicon Carbide Semiconductor Technologies (69 papers) and Power Systems and Renewable Energy (62 papers). The work is most often cited by research in Energy Engineering and Power Technology (712 citations), Control and Systems Engineering (3.5k citations), Electrical and Electronic Engineering (5.6k citations), Automotive Engineering (311 citations) and Industrial and Manufacturing Engineering (127 citations). Xu Cai has collaborated with scholars based in China, Norway and Canada. Frequent co-authors include Marta Molinas, Chen Zhang, Jing Lyu, Atle Rygg, Miao Zhu, Jianwen Zhang, Gang Shi, Rui Li, Ke Ma and Xin Zhang. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics, IEEE Journal of Emerging and Selected Topics in Power Electronics, IEEE Transactions on Energy Conversion and IET Renewable Power Generation.
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.