Anmin Zhu
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Topics
- Robotic Path Planning Algorithms (20 papers)Distributed Control Multi-Agent Systems (10 papers)Control and Dynamics of Mobile Robots (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAerospace Engineering
- Journals
- IEEE Transactions on Industrial ElectronicsIEEE Transactions on CyberneticsChinese Chemical Letters
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Anmin Zhu
36 papers receiving 633 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 357
- Control and Systems Engineering 264
- Aerospace Engineering 166
- Artificial Intelligence 158
- Computer Networks and Communications 147
Countries citing papers authored by Anmin Zhu
This map shows the geographic impact of Anmin Zhu'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 Anmin Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anmin Zhu more than expected).
Fields of papers citing papers by Anmin Zhu
This network shows the impact of papers produced by Anmin Zhu. 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 Anmin Zhu. The network helps show where Anmin Zhu may publish in the future.
Co-authorship network of co-authors of Anmin Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Anmin Zhu. A scholar is included among the top collaborators of Anmin Zhu 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 Anmin Zhu. Anmin Zhu 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 | 35 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 24 | |
| 9 | 47 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 20 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 2 | |
| 17 | 18 | |
| 18 | 92 | |
| 19 | 1 | |
| 20 | 10 |
About Anmin Zhu
Anmin Zhu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Networks and Communications, having authored 39 papers that have together received 656 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (20 papers), Distributed Control Multi-Agent Systems (10 papers) and Control and Dynamics of Mobile Robots (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (357 citations), Control and Systems Engineering (264 citations) and Aerospace Engineering (166 citations). Anmin Zhu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Simon X. Yang, Max Q.‐H. Meng, Xin Yi, Yanan Yu, Zexuan Zhu, Xiaoliang Ma, Chaomin Luo, Xiaodong Li, Lei Wang and Yutao Qi. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Cybernetics and Chinese Chemical Letters.
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.