Song Ci

92 papers and 1.1k indexed citations i.

About

Song Ci is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Song Ci has authored 92 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Electrical and Electronic Engineering, 46 papers in Computer Networks and Communications and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Song Ci’s work include Video Coding and Compression Technologies (22 papers), Cooperative Communication and Network Coding (18 papers) and Advanced Wireless Network Optimization (17 papers). Song Ci is often cited by papers focused on Video Coding and Compression Technologies (22 papers), Cooperative Communication and Network Coding (18 papers) and Advanced Wireless Network Optimization (17 papers). Song Ci collaborates with scholars based in United States, China and Hong Kong. Song Ci's co-authors include Dalei Wu, Hamid Sharif, Ni Lin, Yanwei Liu, Mahmoud Alahmad, Jiucai Zhang, Hui Tang, Haohong Wang, Jinxia Liu and Haiyan Luo and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Communications Magazine and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Co-authorship network of co-authors of Song Ci i

Fields of papers citing papers by Song Ci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Song Ci

Since Specialization
Citations

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).

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.

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2025