Guanghui Song
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Artificial Intelligence
- Aerospace Engineering
- Biomedical Engineering
- Topics
- Advanced Wireless Communication Techniques (29 papers)Cooperative Communication and Network Coding (27 papers)Error Correcting Code Techniques (24 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information TheoryIEEE Access
In The Last Decade
Guanghui Song
73 papers receiving 517 citations
Peers
Comparison fields: 5 of 80
- Electrical and Electronic Engineering 391
- Computer Networks and Communications 231
- Artificial Intelligence 52
- Aerospace Engineering 38
- Biomedical Engineering 28
Countries citing papers authored by Guanghui Song
This map shows the geographic impact of Guanghui Song'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 Guanghui Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanghui Song more than expected).
Fields of papers citing papers by Guanghui Song
This network shows the impact of papers produced by Guanghui Song. 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 Guanghui Song. The network helps show where Guanghui Song may publish in the future.
Co-authorship network of co-authors of Guanghui Song
This figure shows the co-authorship network connecting the top 25 collaborators of Guanghui Song. A scholar is included among the top collaborators of Guanghui Song 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 Guanghui Song. Guanghui Song 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 36 | |
| 10 | 15 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 7 | |
| 14 | 4 | |
| 15 | 0 | |
| 16 | 6 | |
| 17 | 57 | |
| 18 | Extrinsic information transfer analysis of finite field spreading | 2 |
| 19 | Joint design of network and channel coding for multiple-access relay channel (情報理論) | 1 |
| 20 | Joint Design of Network and Channel Coding for Multiple-Access Relay Channel | 1 |
About Guanghui Song
Guanghui Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Media Technology, having authored 87 papers that have together received 527 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (29 papers), Cooperative Communication and Network Coding (27 papers) and Error Correcting Code Techniques (24 papers). The work is most often cited by research in Computer Networks and Communications (231 citations), Electrical and Electronic Engineering (391 citations) and Signal Processing (19 citations). Guanghui Song has collaborated with scholars based in China, Japan and Singapore. Frequent co-authors include Jun Cheng, Ying Li, Yuhao Chi, Kui Cai, Xianbin Wang, Yoichiro Watanabe, Lei Liu, Chau Yuen, Yong Liang Guan and Lili Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Access.
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.