Guangxu Zhou
- Computational Theory and Mathematics top 5%
- Pharmacology top 5%
- Electrical and Electronic Engineering
- Molecular Biology
- Control and Systems Engineering top 10%
- Topics
- Electric Motor Design and Analysis (24 papers)Sensorless Control of Electric Motors (16 papers)Magnetic Bearings and Levitation Dynamics (13 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Guangxu Zhou
56 papers receiving 525 citations
Peers
Comparison fields: 5 of 115
- Computational Theory and Mathematics 161
- Pharmacology 141
- Electrical and Electronic Engineering 124
- Molecular Biology 82
- Control and Systems Engineering 77
Countries citing papers authored by Guangxu Zhou
This map shows the geographic impact of Guangxu Zhou'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 Guangxu Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangxu Zhou more than expected).
Fields of papers citing papers by Guangxu Zhou
This network shows the impact of papers produced by Guangxu Zhou. 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 Guangxu Zhou. The network helps show where Guangxu Zhou may publish in the future.
Co-authorship network of co-authors of Guangxu Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Guangxu Zhou. A scholar is included among the top collaborators of Guangxu Zhou 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 Guangxu Zhou. Guangxu Zhou 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 12 | |
| 15 | 27 | |
| 16 | 56 | |
| 17 | A study on cogging torque reducing method of BLDC motors | 1 |
| 18 | A Journey in Entity Related Retrieval for TREC 2009 | 2 |
| 19 | Study on optimization design of the main electromagnetic parameters of permanent magnet synchronous motor | 2 |
| 20 | RBF-based time-series forecasting | 5 |
About Guangxu Zhou
Guangxu Zhou is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Automotive Engineering, having authored 86 papers that have together received 543 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (24 papers), Sensorless Control of Electric Motors (16 papers) and Magnetic Bearings and Levitation Dynamics (13 papers). The work is most often cited by research in Pharmacology (141 citations), Toxicology (40 citations) and Computational Theory and Mathematics (161 citations). Guangxu Zhou has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Weida Tong, Hong Fang, Jürgen Borlak, Reagan Kelly, Huixiao Hong, Yanliang Xu, Joshua Xu, Minjun Chen, Stephen Harris and Jin-Woo Ahn. Their work appears in journals such as PLoS ONE, 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.