Song Lin

28 papers and 850 indexed citations i.

About

Song Lin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Song Lin has authored 28 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 11 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Song Lin’s work include Caching and Content Delivery (8 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers) and Peer-to-Peer Network Technologies (5 papers). Song Lin is often cited by papers focused on Caching and Content Delivery (8 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers) and Peer-to-Peer Network Technologies (5 papers). Song Lin collaborates with scholars based in United States, China and Netherlands. Song Lin's co-authors include Fabio Sebastiano, Harald Homulle, Edoardo Charbon, Andrei Vladimirescu, Rosario Incandela, Bishnu Patra, Masoud Babaie, Robert Bogdan Staszewski, Mina Shahmohammadi and Jeroen P. G. van Dijk and has published in prestigious journals such as Molecules, IEEE Journal of Solid-State Circuits and Biomaterials Science.

In The Last Decade

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

Fields of papers citing papers by Song Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Lin

Since Specialization
Citations

This map shows the geographic impact of Song Lin'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 Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Lin 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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2026