Yuesong Mei
- Aerospace Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Co-authors
- Jianqiao YuYongbo ChenXiaolong SuGuan‐chen LuoXiaolin AiZhenyue JiaYuanchuan ShenYafei Wang
- Topics
- Guidance and Control Systems (9 papers)Robotic Path Planning Algorithms (7 papers)Adaptive Control of Nonlinear Systems (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringControl and Systems Engineering
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Yuesong Mei
18 papers receiving 882 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Aerospace Engineering 555
- Computer Vision and Pattern Recognition 540
- Control and Systems Engineering 361
- Computer Networks and Communications 209
- Artificial Intelligence 109
Countries citing papers authored by Yuesong Mei
This map shows the geographic impact of Yuesong Mei'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 Yuesong Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuesong Mei more than expected).
Fields of papers citing papers by Yuesong Mei
This network shows the impact of papers produced by Yuesong Mei. 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 Yuesong Mei. The network helps show where Yuesong Mei may publish in the future.
Co-authorship network of co-authors of Yuesong Mei
This figure shows the co-authorship network connecting the top 25 collaborators of Yuesong Mei. A scholar is included among the top collaborators of Yuesong Mei 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 Yuesong Mei. Yuesong Mei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 15 | |
| 3 | 233 | |
| 4 | 105 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 104 | |
| 9 | 29 | |
| 10 | 1 | |
| 11 | UAV path planning using artificial potential field method updated by optimal control theorybreakdown → | 334 |
| 12 | 19 | |
| 13 | 34 | |
| 14 | 2 | |
| 15 | Application of TMS320C6748 DSP in strapdown inertial navigation system based on MEMS | 1 |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 4 |
About Yuesong Mei
Yuesong Mei is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 18 papers that have together received 908 indexed citations. Recurring topics across this work include Guidance and Control Systems (9 papers), Robotic Path Planning Algorithms (7 papers) and Adaptive Control of Nonlinear Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (540 citations), Aerospace Engineering (555 citations) and Control and Systems Engineering (361 citations). Yuesong Mei has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Jianqiao Yu, Yongbo Chen, Xiaolong Su, Guan‐chen Luo, Xiaolin Ai, Zhenyue Jia, Yuanchuan Shen, Yafei Wang, Siyu Zhang and Qibo Deng. Their work appears in journals such as Neurocomputing, Journal of Aircraft and Aerospace Science and Technology.
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.