Yunjiang Lou
- Control and Systems Engineering top 1%
- Biomedical Engineering top 10%
- Mechanical Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Zexiang LiGuanfeng LiuXiaogang XiongZhibin LiShuang SongXin ChenJiangang LiYongsheng Zhang
- Topics
- Robotic Mechanisms and Dynamics (63 papers)Iterative Learning Control Systems (37 papers)Robot Manipulation and Learning (35 papers)
- Cited by
- Control and Systems EngineeringIndustrial and Manufacturing EngineeringMechanical Engineering
In The Last Decade
Yunjiang Lou
164 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 76
- Control and Systems Engineering 1.0k
- Biomedical Engineering 409
- Mechanical Engineering 381
- Computer Vision and Pattern Recognition 208
- Industrial and Manufacturing Engineering 155
Countries citing papers authored by Yunjiang Lou
This map shows the geographic impact of Yunjiang Lou'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 Yunjiang Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunjiang Lou more than expected).
Fields of papers citing papers by Yunjiang Lou
This network shows the impact of papers produced by Yunjiang Lou. 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 Yunjiang Lou. The network helps show where Yunjiang Lou may publish in the future.
Co-authorship network of co-authors of Yunjiang Lou
This figure shows the co-authorship network connecting the top 25 collaborators of Yunjiang Lou. A scholar is included among the top collaborators of Yunjiang Lou 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 Yunjiang Lou. Yunjiang Lou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | 15 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 14 | |
| 15 | 17 | |
| 16 | 7 | |
| 17 | 24 | |
| 18 | 15 | |
| 19 | 24 | |
| 20 | 12 |
About Yunjiang Lou
Yunjiang Lou is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 191 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (63 papers), Iterative Learning Control Systems (37 papers) and Robot Manipulation and Learning (35 papers). The work is most often cited by research in Control and Systems Engineering (1.0k citations), Industrial and Manufacturing Engineering (155 citations) and Mechanical Engineering (381 citations). Yunjiang Lou has collaborated with scholars based in China, Hong Kong and India. Frequent co-authors include Zexiang Li, Guanfeng Liu, Xiaogang Xiong, Zhibin Li, Shuang Song, Xin Chen, Jiangang Li, Yongsheng Zhang, Shyam Kamal and Can Wang. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics 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.