Shiyao Chen
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Aerospace Engineering
- Co-authors
- Lang TongWancheng ZhangYan ZhangZunwen HeAmine LaourineTing HeKang‐Won LeeGong Shouliang
- Topics
- Cryptographic Implementations and Security (6 papers)Cognitive Radio Networks and Spectrum Sensing (6 papers)Chaos-based Image/Signal Encryption (4 papers)
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Shiyao Chen
19 papers receiving 237 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 119
- Computer Networks and Communications 112
- Electrical and Electronic Engineering 92
- Computer Vision and Pattern Recognition 36
- Aerospace Engineering 35
Countries citing papers authored by Shiyao Chen
This map shows the geographic impact of Shiyao Chen'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 Shiyao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiyao Chen more than expected).
Fields of papers citing papers by Shiyao Chen
This network shows the impact of papers produced by Shiyao Chen. 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 Shiyao Chen. The network helps show where Shiyao Chen may publish in the future.
Co-authorship network of co-authors of Shiyao Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Shiyao Chen. A scholar is included among the top collaborators of Shiyao Chen 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 Shiyao Chen. Shiyao Chen 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 | 7 | |
| 4 | 1 | |
| 5 | 24 | |
| 6 | 12 | |
| 7 | 7 | |
| 8 | 39 | |
| 9 | 41 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 21 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 11 | |
| 16 | 15 | |
| 17 | 1 | |
| 18 | 36 | |
| 19 | 4 | |
| 20 | 11 |
About Shiyao Chen
Shiyao Chen is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 20 papers that have together received 245 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (6 papers), Cognitive Radio Networks and Spectrum Sensing (6 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Computer Networks and Communications (112 citations), Artificial Intelligence (119 citations) and Computer Vision and Pattern Recognition (36 citations). Shiyao Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lang Tong, Wancheng Zhang, Yan Zhang, Zunwen He, Amine Laourine, Ting He, Kang‐Won Lee, Gong Shouliang, Hyoil Kim and Meiqin Wang. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and Applied Sciences.
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.