Fengyu Zhou
- Control and Systems Engineering top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering
- Aerospace Engineering top 10%
- Co-authors
- Xianfeng YuanYan LiJin LiuKe ChenGuohui TianYangQuan ChenYang ZhaoShoushui Wei
- Topics
- Robotics and Sensor-Based Localization (20 papers)Robotics and Automated Systems (17 papers)Multimodal Machine Learning Applications (16 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Fengyu Zhou
105 papers receiving 870 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Control and Systems Engineering 357
- Artificial Intelligence 282
- Computer Vision and Pattern Recognition 248
- Mechanical Engineering 136
- Aerospace Engineering 95
Countries citing papers authored by Fengyu Zhou
This map shows the geographic impact of Fengyu 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 Fengyu Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengyu Zhou more than expected).
Fields of papers citing papers by Fengyu Zhou
This network shows the impact of papers produced by Fengyu 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 Fengyu Zhou. The network helps show where Fengyu Zhou may publish in the future.
Co-authorship network of co-authors of Fengyu Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Fengyu Zhou. A scholar is included among the top collaborators of Fengyu 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 Fengyu Zhou. Fengyu 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 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | A Novel Data Augmentation Method Based on Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Imbalanced Databreakdown → | 69 |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 0 | |
| 19 | 4 | |
| 20 | Target position and channel parameter simultaneous estimation algorithm based on Unscented Kalman filter | 2 |
About Fengyu Zhou
Fengyu Zhou is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 122 papers that have together received 903 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (20 papers), Robotics and Automated Systems (17 papers) and Multimodal Machine Learning Applications (16 papers). The work is most often cited by research in Control and Systems Engineering (357 citations), Computer Vision and Pattern Recognition (248 citations) and Artificial Intelligence (282 citations). Fengyu Zhou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xianfeng Yuan, Yan Li, Jin Liu, Ke Chen, Guohui Tian, YangQuan Chen, Yang Zhao, Shoushui Wei, Junyan Li and Yatao Zhang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications 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.