Chao Shen
- Electrical and Electronic Engineering top 2%
- Computer Networks and Communications top 1%
- Aerospace Engineering top 1%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Co-authors
- Tsung‐Hui ChangGang ZhuJie GongYanqing XuZhangdui ZhongXiang ChenZhiguo DingZhengding Qiu
- Topics
- Advanced MIMO Systems Optimization (39 papers)Advanced Wireless Communication Technologies (29 papers)Cooperative Communication and Network Coding (20 papers)
- Cited by
- Computer Networks and CommunicationsAerospace EngineeringElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Signal ProcessingElectrochimica ActaIEEE Journal on Selected Areas in Communications
- Partner nations
- ChinaUnited KingdomTaiwan
In The Last Decade
Chao Shen
84 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Electrical and Electronic Engineering 1.8k
- Computer Networks and Communications 915
- Aerospace Engineering 780
- Computer Vision and Pattern Recognition 132
- Artificial Intelligence 112
Countries citing papers authored by Chao Shen
This map shows the geographic impact of Chao Shen'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 Chao Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Shen more than expected).
Fields of papers citing papers by Chao Shen
This network shows the impact of papers produced by Chao Shen. 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 Chao Shen. The network helps show where Chao Shen may publish in the future.
Co-authorship network of co-authors of Chao Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Chao Shen. A scholar is included among the top collaborators of Chao Shen 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 Chao Shen. Chao Shen 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 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 24 | |
| 12 | 19 | |
| 13 | 147 | |
| 14 | 33 | |
| 15 | 23 | |
| 16 | On Energy-Efficient NOMA Designs for Heterogeneous Low-Latency Downlink Transmissions. | 9 |
| 17 | 15 | |
| 18 | 17 | |
| 19 | Short-Packet Communications with NOMA for IoT Applications. | 1 |
| 20 | 7 |
About Chao Shen
Chao Shen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (39 papers), Advanced Wireless Communication Technologies (29 papers) and Cooperative Communication and Network Coding (20 papers). The work is most often cited by research in Computer Networks and Communications (915 citations), Aerospace Engineering (780 citations) and Electrical and Electronic Engineering (1.8k citations). Chao Shen has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Tsung‐Hui Chang, Gang Zhu, Jie Gong, Yanqing Xu, Zhangdui Zhong, Xiang Chen, Zhiguo Ding, Zhengding Qiu, Xiaofang Sun and Chong‐Yung Chi. Their work appears in journals such as IEEE Transactions on Signal Processing, Electrochimica Acta and IEEE Journal on Selected Areas in Communications.
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.