Tiecheng Song

94 papers and 1.2k indexed citations i.

About

Tiecheng Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Tiecheng Song has authored 94 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Networks and Communications, 57 papers in Electrical and Electronic Engineering and 18 papers in Artificial Intelligence. Recurrent topics in Tiecheng Song’s work include Cognitive Radio Networks and Spectrum Sensing (32 papers), Advanced MIMO Systems Optimization (22 papers) and Distributed Sensor Networks and Detection Algorithms (18 papers). Tiecheng Song is often cited by papers focused on Cognitive Radio Networks and Spectrum Sensing (32 papers), Advanced MIMO Systems Optimization (22 papers) and Distributed Sensor Networks and Detection Algorithms (18 papers). Tiecheng Song collaborates with scholars based in China, United States and Hong Kong. Tiecheng Song's co-authors include Miao Liu, Guan Gui, Jing Hu, Jun Wu, Xu Bao, Jie Yang, Cunhua Pan, Xiaojin Ding, Yulong Zou and Xiaorong Zhu and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Access.

In The Last Decade

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

Fields of papers citing papers by Tiecheng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiecheng 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 Tiecheng Song. The network helps show where Tiecheng Song may publish in the future.

Countries citing papers authored by Tiecheng Song

Since Specialization
Citations

This map shows the geographic impact of Tiecheng 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 Tiecheng Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiecheng Song 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025