Long Qu

28 papers and 530 indexed citations i.

About

Long Qu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Long Qu has authored 28 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 14 papers in Electrical and Electronic Engineering and 6 papers in Information Systems. Recurrent topics in Long Qu’s work include Software-Defined Networks and 5G (11 papers), Advanced Optical Network Technologies (8 papers) and Cloud Computing and Resource Management (6 papers). Long Qu is often cited by papers focused on Software-Defined Networks and 5G (11 papers), Advanced Optical Network Technologies (8 papers) and Cloud Computing and Resource Management (6 papers). Long Qu collaborates with scholars based in China, Canada and Lebanon. Long Qu's co-authors include Chadi Assi, Khaled Shaban, Maurice Khabbaz, Yinghua Ye, Sherry L. Stuesse, Shun Wang, Jianjun Yu, Sara Ayoubi, Yan Bai and Shi‐Zhi Chen and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

Co-authorship network of co-authors of Long Qu i

Fields of papers citing papers by Long Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Qu

Since Specialization
Citations

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