Junxiao Wang
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- Microgrid Control and Optimization 20
- Adaptive Control of Nonlinear Systems 13
- Magnetic Bearings and Levitation Dynamics 9
- Iterative Learning Control Systems 8
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- Multilevel Inverters and Converters 26
- Advanced DC-DC Converters 25
- Sensorless Control of Electric Motors 16
- Advanced Battery Materials and Technologies 7
- Automotive Engineering top 5%
- Mechanical Engineering top 10%
Junxiao Wang
63 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 70
- Control and Systems Engineering 1.2k
- Electrical and Electronic Engineering 1.3k
- Automotive Engineering 172
- Energy Engineering and Power Technology 23
- Mechanical Engineering 180
Countries citing papers authored by Junxiao Wang
This map shows the geographic impact of Junxiao Wang'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 Junxiao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxiao Wang more than expected).
Fields of papers citing papers by Junxiao Wang
This network shows the impact of papers produced by Junxiao Wang. 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 Junxiao Wang. The network helps show where Junxiao Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junxiao Wang, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 22 | |
| 7 | 2023 | 27 | |
| 8 | 2022 | 23 | |
| 9 | 2022 | 26 | |
| 10 | 2022 | 37 | |
| 11 | 2021 | 48 | |
| 12 | 2019 | 7 | |
| 13 | Design and implementation of reduced-order extended state observer and sliding mode control for DC-DC buck converter | 2019 | 3 |
| 14 | 2019 | 7 | |
| 15 | 2019 | 18 | |
| 16 | 2018 | 3 | |
| 17 | 2018 | 42 | |
| 18 | 2016 | 10 | |
| 19 | 2016 | 4 | |
| 20 | Integral terminal sliding mode control for Permanent Magnet Synchronous Motor position servo system | 2013 | 1 |
About Junxiao Wang
Junxiao Wang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Automotive Engineering, Physical and Theoretical Chemistry and Aerospace Engineering, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (26 papers), Advanced DC-DC Converters (25 papers), Microgrid Control and Optimization (20 papers), Sensorless Control of Electric Motors (16 papers), Adaptive Control of Nonlinear Systems (13 papers), Magnetic Bearings and Levitation Dynamics (9 papers), Iterative Learning Control Systems (8 papers) and Advanced Battery Materials and Technologies (7 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Electrical and Electronic Engineering (1.3k citations), Automotive Engineering (172 citations), Energy Engineering and Power Technology (23 citations) and Mechanical Engineering (180 citations). Junxiao Wang has collaborated with scholars based in China, Chile and United Kingdom. Frequent co-authors include Shihua Li, Fengxiang Wang, Bin Wu, Jun Yang, Li Yu, José Rodríguez, Chuanlin Zhang, Qi Li, Zhenbin Zhang and Chunjiang Qian. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Informatics, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Industrial Electronics and Energy storage materials.
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.