Weisen Shi
- Computer Networks and Communications top 0.5%
- Electrical and Electronic Engineering top 2%
- Aerospace Engineering top 0.5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Topics
- Vehicular Ad Hoc Networks (VANETs) (21 papers)Software-Defined Networks and 5G (14 papers)UAV Applications and Optimization (11 papers)
- Cited by
- Computer Networks and CommunicationsAerospace EngineeringElectrical and Electronic Engineering
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Weisen Shi
48 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Computer Networks and Communications 2.1k
- Electrical and Electronic Engineering 1.6k
- Aerospace Engineering 1.4k
- Artificial Intelligence 420
- Computer Vision and Pattern Recognition 334
Countries citing papers authored by Weisen Shi
This map shows the geographic impact of Weisen Shi'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 Weisen Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weisen Shi more than expected).
Fields of papers citing papers by Weisen Shi
This network shows the impact of papers produced by Weisen Shi. 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 Weisen Shi. The network helps show where Weisen Shi may publish in the future.
Co-authorship network of co-authors of Weisen Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Weisen Shi. A scholar is included among the top collaborators of Weisen Shi 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 Weisen Shi. Weisen Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | Split Learning Over Wireless Networks: Parallel Design and Resource Managementbreakdown → | 160 |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 15 | |
| 7 | 103 | |
| 8 | 24 | |
| 9 | 16 | |
| 10 | 104 | |
| 11 | 1 | |
| 12 | 22 | |
| 13 | 36 | |
| 14 | 39 | |
| 15 | 56 | |
| 16 | 59 | |
| 17 | 47 | |
| 18 | 39 | |
| 19 | 30 | |
| 20 | 38 |
About Weisen Shi
Weisen Shi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering, having authored 48 papers that have together received 3.2k indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (21 papers), Software-Defined Networks and 5G (14 papers) and UAV Applications and Optimization (11 papers). The work is most often cited by research in Computer Networks and Communications (2.1k citations), Aerospace Engineering (1.4k citations) and Electrical and Electronic Engineering (1.6k citations). Weisen Shi has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Xuemin Shen, Feng Lyu, Haibo Zhou, Nan Cheng, Junling Li, Wenchao Xu, Conghao Zhou, Wei Quan, Weihua Zhuang and Shan Zhang. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.
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.