Fengguang Song

26 papers and 169 indexed citations i.

About

Fengguang Song is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems and Management. According to data from OpenAlex, Fengguang Song has authored 26 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 12 papers in Hardware and Architecture and 8 papers in Information Systems and Management. Recurrent topics in Fengguang Song’s work include Advanced Data Storage Technologies (14 papers), Distributed and Parallel Computing Systems (12 papers) and Parallel Computing and Optimization Techniques (12 papers). Fengguang Song is often cited by papers focused on Advanced Data Storage Technologies (14 papers), Distributed and Parallel Computing Systems (12 papers) and Parallel Computing and Optimization Techniques (12 papers). Fengguang Song collaborates with scholars based in United States, China and United Kingdom. Fengguang Song's co-authors include Jack Dongarra, Stanimire Tomov, Asim YarKhan, Shirley Moore, Felix Wolf, Luoding Zhu, Daniel Waddington, Zizhong Chen, Sihuan Li and Feng Li and has published in prestigious journals such as Future Generation Computer Systems, The Journal of Supercomputing and Concurrency and Computation Practice and Experience.

In The Last Decade

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

Fields of papers citing papers by Fengguang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fengguang Song

Since Specialization
Citations

This map shows the geographic impact of Fengguang 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 Fengguang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengguang 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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2025