Song Ci
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Environmental Engineering
- Co-authors
- Dalei WuHamid SharifHaohong WangJingjing YanJinghua ShaYufang MaLisimachos P. KondiHui Tang
- Topics
- Advanced Wireless Network Optimization (11 papers)Video Coding and Compression Technologies (8 papers)Advanced MIMO Systems Optimization (7 papers)
- Cited by
- Computer Networks and CommunicationsSignal ProcessingComputer Vision and Pattern Recognition
- Journals
- Journal of Cleaner ProductionIEEE Journal on Selected Areas in CommunicationsSustainability
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Song Ci
35 papers receiving 387 citations
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 176
- Electrical and Electronic Engineering 167
- Computer Vision and Pattern Recognition 87
- Signal Processing 78
- Environmental Engineering 35
Countries citing papers authored by Song Ci
This map shows the geographic impact of Song Ci'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 Song Ci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Ci more than expected).
Fields of papers citing papers by Song Ci
This network shows the impact of papers produced by Song Ci. 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 Song Ci. The network helps show where Song Ci may publish in the future.
Co-authorship network of co-authors of Song Ci
This figure shows the co-authorship network connecting the top 25 collaborators of Song Ci. A scholar is included among the top collaborators of Song Ci 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 Song Ci. Song Ci 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 | 3 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 22 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | 32 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | Multi-Agent Leader-Followers Game Optimization for Intra-Domain Transmission in Overlay Network | 1 |
| 12 | 6 | |
| 13 | 13 | |
| 14 | Battery Capacity Footprinting and Optimization\nAnalysis for Wireless Multimedia Communication | 3 |
| 15 | 42 | |
| 16 | 41 | |
| 17 | 3 | |
| 18 | 32 | |
| 19 | 1 | |
| 20 | 20 |
About Song Ci
Song Ci is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 409 indexed citations. Recurring topics across this work include Advanced Wireless Network Optimization (11 papers), Video Coding and Compression Technologies (8 papers) and Advanced MIMO Systems Optimization (7 papers). The work is most often cited by research in Computer Networks and Communications (176 citations), Signal Processing (78 citations) and Computer Vision and Pattern Recognition (87 citations). Song Ci has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Dalei Wu, Hamid Sharif, Haohong Wang, Jingjing Yan, Jinghua Sha, Yufang Ma, Lisimachos P. Kondi, Hui Tang, Ajay Luthra and Aggelos K. Katsaggelos. Their work appears in journals such as Journal of Cleaner Production, IEEE Journal on Selected Areas in Communications and Sustainability.
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.