Xinlei Yi
- Computer Networks and Communications top 0.5%
- Control and Systems Engineering top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering top 10%
- Management Science and Operations Research top 5%
- Co-authors
- Karl Henrik JohanssonTao YangDimos V. DimarogonasKun LiuXiuxian LiLihua XieJunfeng WuTianyou Chai
- Topics
- Distributed Control Multi-Agent Systems (39 papers)Neural Networks Stability and Synchronization (19 papers)Sparse and Compressive Sensing Techniques (15 papers)
- Cited by
- Computer Networks and CommunicationsControl and Systems EngineeringManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlAutomatica
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Xinlei Yi
52 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Networks and Communications 1.4k
- Control and Systems Engineering 592
- Artificial Intelligence 415
- Electrical and Electronic Engineering 404
- Management Science and Operations Research 190
Countries citing papers authored by Xinlei Yi
This map shows the geographic impact of Xinlei Yi'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 Xinlei Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinlei Yi more than expected).
Fields of papers citing papers by Xinlei Yi
This network shows the impact of papers produced by Xinlei Yi. 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 Xinlei Yi. The network helps show where Xinlei Yi may publish in the future.
Co-authorship network of co-authors of Xinlei Yi
This figure shows the co-authorship network connecting the top 25 collaborators of Xinlei Yi. A scholar is included among the top collaborators of Xinlei Yi 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 Xinlei Yi. Xinlei Yi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 19 | |
| 13 | 21 | |
| 14 | 23 | |
| 15 | 53 | |
| 16 | 143 | |
| 17 | Linear Convergence for Distributed Optimization Under the Polyak-{\L}ojasiewicz Condition | 1 |
| 18 | 3 | |
| 19 | 27 | |
| 20 | 55 |
About Xinlei Yi
Xinlei Yi is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Computational Mechanics, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (39 papers), Neural Networks Stability and Synchronization (19 papers) and Sparse and Compressive Sensing Techniques (15 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Control and Systems Engineering (592 citations) and Management Science and Operations Research (190 citations). Xinlei Yi has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Karl Henrik Johansson, Tao Yang, Dimos V. Dimarogonas, Kun Liu, Xiuxian Li, Lihua Xie, Junfeng Wu, Tianyou Chai, Ye Yuan and Zongli Lin. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.
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.