Guocong Song
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 1%
- Computer Vision and Pattern Recognition
- Signal Processing
- Media Technology
- Co-authors
- Ye LiYaofa LiLeonard J. CiminiGuowang MiaoKe GongGhurumuruhan GanesanYakun SunRobert Love
- Topics
- Advanced MIMO Systems Optimization (16 papers)Advanced Wireless Network Optimization (13 papers)Wireless Communication Networks Research (11 papers)
- Journals
- IEEE Communications MagazineIEEE Transactions on CommunicationsIEEE Transactions on Wireless Communications
- Partner nations
- United StatesChinaSweden
In The Last Decade
Guocong Song
16 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 27
- Electrical and Electronic Engineering 1.2k
- Computer Networks and Communications 1.1k
- Computer Vision and Pattern Recognition 31
- Signal Processing 23
- Media Technology 19
Countries citing papers authored by Guocong Song
This map shows the geographic impact of Guocong 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 Guocong Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guocong Song more than expected).
Fields of papers citing papers by Guocong Song
This network shows the impact of papers produced by Guocong 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 Guocong Song. The network helps show where Guocong Song may publish in the future.
Co-authorship network of co-authors of Guocong Song
This figure shows the co-authorship network connecting the top 25 collaborators of Guocong Song. A scholar is included among the top collaborators of Guocong 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 Guocong Song. Guocong 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 | 19 | |
| 2 | 50 | |
| 3 | 83 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 325 | |
| 7 | 0 | |
| 8 | 203 | |
| 9 | 9 | |
| 10 | Cross-layer optimization for OFDM wireless networks-part I: theoretical frameworkbreakdown → | 471 |
| 11 | 26 | |
| 12 | 63 | |
| 13 | 23 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 2 |
About Guocong Song
Guocong Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Infectious Diseases, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (16 papers), Advanced Wireless Network Optimization (13 papers) and Wireless Communication Networks Research (11 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Electrical and Electronic Engineering (1.2k citations) and Media Technology (19 citations). Guocong Song has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Ye Li, Ye Li, Yaofa Li, Leonard J. Cimini, Guowang Miao, Ke Gong, Ghurumuruhan Ganesan, Ye Li, Yakun Sun and Robert Love. Their work appears in journals such as IEEE Communications Magazine, IEEE Transactions on Communications and IEEE Transactions on Wireless 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.