Kaige Qu

22 papers and 363 indexed citations i.

About

Kaige Qu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Kaige Qu has authored 22 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 14 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Kaige Qu’s work include IoT and Edge/Fog Computing (8 papers), Software-Defined Networks and 5G (7 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). Kaige Qu is often cited by papers focused on IoT and Edge/Fog Computing (8 papers), Software-Defined Networks and 5G (7 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). Kaige Qu collaborates with scholars based in Canada, China and United States. Kaige Qu's co-authors include Weihua Zhuang, Xuemin Shen, Qiang Ye, Xu Li, Jaya Rao, Weisen Shi, Junling Li, Wen Wu, Mushu Li and Xu Li and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications and IEEE Transactions on Wireless Communications.

In The Last Decade

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

Fields of papers citing papers by Kaige Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaige Qu

Since Specialization
Citations

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