Siguang Chen
- Electrical and Electronic Engineering top 10%
- Materials Chemistry top 10%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Aharon GedankenO. PalchikJun‐Jie ZhuKun WangWeifeng LuChuanxin ZhaoHaijun ZhangVijayakumar Varadarajan
- Topics
- Privacy-Preserving Technologies in Data (14 papers)IoT and Edge/Fog Computing (6 papers)Cooperative Communication and Network Coding (6 papers)
- Cited by
- Computer Networks and CommunicationsMaterials ChemistryElectrical and Electronic Engineering
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Siguang Chen
39 papers receiving 824 citations
Peers
Comparison fields: 5 of 92
- Electrical and Electronic Engineering 386
- Materials Chemistry 357
- Computer Networks and Communications 269
- Artificial Intelligence 95
- Biomedical Engineering 81
Countries citing papers authored by Siguang Chen
This map shows the geographic impact of Siguang 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 Siguang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siguang Chen more than expected).
Fields of papers citing papers by Siguang Chen
This network shows the impact of papers produced by Siguang 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 Siguang Chen. The network helps show where Siguang Chen may publish in the future.
Co-authorship network of co-authors of Siguang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Siguang Chen. A scholar is included among the top collaborators of Siguang 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 Siguang Chen. Siguang 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 41 | |
| 10 | 15 | |
| 11 | 8 | |
| 12 | 32 | |
| 13 | 32 | |
| 14 | 29 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 8 | |
| 20 | 6 |
About Siguang Chen
Siguang Chen is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 845 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (14 papers), IoT and Edge/Fog Computing (6 papers) and Cooperative Communication and Network Coding (6 papers). The work is most often cited by research in Computer Networks and Communications (269 citations), Materials Chemistry (357 citations) and Electrical and Electronic Engineering (386 citations). Siguang Chen has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Aharon Gedanken, O. Palchik, Jun‐Jie Zhu, Kun Wang, Weifeng Lu, Chuanxin Zhao, Haijun Zhang, Vijayakumar Varadarajan, Geng Yang and Meng Wu. Their work appears in journals such as The Journal of Physical Chemistry B, IEEE Access and IEEE Transactions on Vehicular Technology.
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.