Leilei Song

About

Leilei Song is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Leilei Song has authored 7 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 2 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Leilei Song’s work include Optical Network Technologies (3 papers), Coding theory and cryptography (2 papers) and Energy, Environment, Economic Growth (1 paper). Leilei Song is often cited by papers focused on Optical Network Technologies (3 papers), Coding theory and cryptography (2 papers) and Energy, Environment, Economic Growth (1 paper). Leilei Song collaborates with scholars based in United States, China and Australia. Leilei Song's co-authors include Keshab K. Parhi, Meng-Lin Yu, Jungwon Lee, J.M. Cioffi, Kai Luo, Pei Liu, Wei Wang, Da Chen, Wei Peng and Gary Gang Tian and has published in prestigious journals such as IEEE Transactions on Communications, IEEE Transactions on Wireless Communications and IEEE Journal of Solid-State Circuits.

In The Last Decade

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

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Fields of papers citing papers by Leilei Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leilei Song

Since Specialization

Citations

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

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