Lei Shao
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Co-authors
- Xiaoqi ChenBao‐Zhu GuoHumin LeiLongyu ZhangYiming ZhangAbdelkader Nasreddine BelkacemHaowei ZhangHongli Liu
- Topics
- Guidance and Control Systems (10 papers)Image and Object Detection Techniques (6 papers)Robotic Path Planning Algorithms (5 papers)
- Partner nations
- ChinaNew ZealandUnited States
In The Last Decade
Lei Shao
47 papers receiving 370 citations
Peers
Comparison fields: 5 of 72
- Aerospace Engineering 96
- Computer Vision and Pattern Recognition 88
- Artificial Intelligence 78
- Electrical and Electronic Engineering 67
- Control and Systems Engineering 53
Countries citing papers authored by Lei Shao
This map shows the geographic impact of Lei Shao'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 Lei Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Shao more than expected).
Fields of papers citing papers by Lei Shao
This network shows the impact of papers produced by Lei Shao. 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 Lei Shao. The network helps show where Lei Shao may publish in the future.
Co-authorship network of co-authors of Lei Shao
This figure shows the co-authorship network connecting the top 25 collaborators of Lei Shao. A scholar is included among the top collaborators of Lei Shao 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 Lei Shao. Lei Shao 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 | 0 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 70 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 9 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | Design of Backstepping Controller for Longitudinal Motion of an Air-Breathing Hypersonic Vehicle | 0 |
| 18 | Adaptive backstepping control for an air-breathing hypersonic vehicle with input constraints | 0 |
| 19 | 14 | |
| 20 | Sliding mode predictive control for nonlinear systems based on lazy learning | 2 |
About Lei Shao
Lei Shao is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 382 indexed citations. Recurring topics across this work include Guidance and Control Systems (10 papers), Image and Object Detection Techniques (6 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (88 citations), Aerospace Engineering (96 citations) and Hardware and Architecture (25 citations). Lei Shao has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Xiaoqi Chen, Bao‐Zhu Guo, Humin Lei, Longyu Zhang, Yiming Zhang, Abdelkader Nasreddine Belkacem, Haowei Zhang, Hongli Liu, Junwei Xie and Hongli Liu. Their work appears in journals such as IEEE Access, Neurocomputing and Applied Soft Computing.
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.