Ruixi Yuan
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Topics
- Wireless Networks and Protocols (12 papers)Mobile Ad Hoc Networks (7 papers)Advanced Wireless Network Optimization (7 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringArtificial Intelligence
- Journals
- IEEE Journal on Selected Areas in CommunicationsInformation SciencesIEEE/ACM Transactions on Networking
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Ruixi Yuan
32 papers receiving 783 citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 638
- Electrical and Electronic Engineering 377
- Artificial Intelligence 168
- Computer Vision and Pattern Recognition 72
- Signal Processing 54
Countries citing papers authored by Ruixi Yuan
This map shows the geographic impact of Ruixi Yuan'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 Ruixi Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruixi Yuan more than expected).
Fields of papers citing papers by Ruixi Yuan
This network shows the impact of papers produced by Ruixi Yuan. 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 Ruixi Yuan. The network helps show where Ruixi Yuan may publish in the future.
Co-authorship network of co-authors of Ruixi Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Ruixi Yuan. A scholar is included among the top collaborators of Ruixi Yuan 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 Ruixi Yuan. Ruixi Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 67 | |
| 4 | 2 | |
| 5 | 56 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 22 | |
| 10 | 27 | |
| 11 | 31 | |
| 12 | Bursty Propagation Model for Incidental Events in Blog Networks | 10 |
| 13 | 14 | |
| 14 | 0 | |
| 15 | 71 | |
| 16 | 8 | |
| 17 | 0 | |
| 18 | Virtual Private Networks: Technologies and Solutions | 21 |
| 19 | 144 | |
| 20 | 1 |
About Ruixi Yuan
Ruixi Yuan is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 35 papers that have together received 835 indexed citations. Recurring topics across this work include Wireless Networks and Protocols (12 papers), Mobile Ad Hoc Networks (7 papers) and Advanced Wireless Network Optimization (7 papers). The work is most often cited by research in Computer Networks and Communications (638 citations), Electrical and Electronic Engineering (377 citations) and Artificial Intelligence (168 citations). Ruixi Yuan has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Yong He, Xiaohong Guan, Li Zhu, Li Da Xu, Weibo Gong, Jie Sun, Dipankar Raychaudhuri, P. Narasimhan, R. Siracusa and Subir Biswas. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Information Sciences and IEEE/ACM Transactions on Networking.
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.