Xunhua Dai
- Aerospace Engineering top 5%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Quan QuanKai‐Yuan CaiXiaowei ZhangShuai WangFengxiao TangNei KatoMing ZhaoZhiyu Xi
- Topics
- Adaptive Control of Nonlinear Systems (6 papers)Aerospace Engineering and Control Systems (6 papers)Fault Detection and Control Systems (4 papers)
- Cited by
- Aerospace EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
In The Last Decade
Xunhua Dai
22 papers receiving 498 citations
Peers
Comparison fields: 5 of 50
- Aerospace Engineering 293
- Control and Systems Engineering 217
- Computer Vision and Pattern Recognition 116
- Mechanical Engineering 64
- Electrical and Electronic Engineering 62
Countries citing papers authored by Xunhua Dai
This map shows the geographic impact of Xunhua Dai'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 Xunhua Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xunhua Dai more than expected).
Fields of papers citing papers by Xunhua Dai
This network shows the impact of papers produced by Xunhua Dai. 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 Xunhua Dai. The network helps show where Xunhua Dai may publish in the future.
Co-authorship network of co-authors of Xunhua Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Xunhua Dai. A scholar is included among the top collaborators of Xunhua Dai 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 Xunhua Dai. Xunhua Dai 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 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 10 | |
| 13 | 21 | |
| 14 | Multicopter Design and Control Practice : A Series Experiments based on MATLAB and Pixhawk | 4 |
| 15 | 16 | |
| 16 | 51 | |
| 17 | 33 | |
| 18 | 23 | |
| 19 | 17 | |
| 20 | 94 |
About Xunhua Dai
Xunhua Dai is a scholar working on Control and Systems Engineering, Aerospace Engineering and Automotive Engineering, having authored 25 papers that have together received 507 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (6 papers), Aerospace Engineering and Control Systems (6 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Aerospace Engineering (293 citations), Control and Systems Engineering (217 citations) and Computer Vision and Pattern Recognition (116 citations). Xunhua Dai has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Quan Quan, Kai‐Yuan Cai, Xiaowei Zhang, Shuai Wang, Fengxiao Tang, Shuai Wang, Nei Kato, Ming Zhao, Zhiyu Xi and Xuehan Chen. Their work appears in journals such as IEEE Transactions on Industrial Electronics, The International Journal of Robotics Research and Neurocomputing.
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.