Zhiyu Mou
- Aerospace Engineering top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Feifei GaoYu ZhangZhu HanJing JiangRuijin DingLing XingHuangang WangTao Zhang
- Topics
- UAV Applications and Optimization (6 papers)Distributed Control Multi-Agent Systems (5 papers)Robotic Path Planning Algorithms (3 papers)
- Cited by
- Aerospace EngineeringComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Signal ProcessingIEEE Journal on Selected Areas in CommunicationsIEEE Transactions on Vehicular Technology
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Zhiyu Mou
10 papers receiving 406 citations
Peers
Comparison fields: 5 of 35
- Aerospace Engineering 296
- Computer Networks and Communications 214
- Electrical and Electronic Engineering 172
- Computer Vision and Pattern Recognition 105
- Artificial Intelligence 59
Countries citing papers authored by Zhiyu Mou
This map shows the geographic impact of Zhiyu Mou'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 Zhiyu Mou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiyu Mou more than expected).
Fields of papers citing papers by Zhiyu Mou
This network shows the impact of papers produced by Zhiyu Mou. 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 Zhiyu Mou. The network helps show where Zhiyu Mou may publish in the future.
Co-authorship network of co-authors of Zhiyu Mou
This figure shows the co-authorship network connecting the top 25 collaborators of Zhiyu Mou. A scholar is included among the top collaborators of Zhiyu Mou 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 Zhiyu Mou. Zhiyu Mou 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 | 1 | |
| 3 | 66 | |
| 4 | 38 | |
| 5 | 4 | |
| 6 | 193 | |
| 7 | 105 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 0 |
About Zhiyu Mou
Zhiyu Mou is a scholar working on Aerospace Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 414 indexed citations. Recurring topics across this work include UAV Applications and Optimization (6 papers), Distributed Control Multi-Agent Systems (5 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Aerospace Engineering (296 citations), Computer Networks and Communications (214 citations) and Computer Vision and Pattern Recognition (105 citations). Zhiyu Mou has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Feifei Gao, Yu Zhang, Zhu Han, Jing Jiang, Ruijin Ding, Ling Xing, Huangang Wang, Tao Zhang, Jun Liu and Qihui Wu. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Vehicular 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.