Long Vu

11 papers and 137 indexed citations i.

About

Long Vu is a scholar working on Computer Networks and Communications, Transportation and Artificial Intelligence. According to data from OpenAlex, Long Vu has authored 11 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 3 papers in Transportation and 2 papers in Artificial Intelligence. Recurrent topics in Long Vu’s work include Opportunistic and Delay-Tolerant Networks (6 papers), Mobile Ad Hoc Networks (4 papers) and Caching and Content Delivery (3 papers). Long Vu is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (6 papers), Mobile Ad Hoc Networks (4 papers) and Caching and Content Delivery (3 papers). Long Vu collaborates with scholars based in United States, United Kingdom and Germany. Long Vu's co-authors include Klara Nahrstedt, Indranil Gupta, Quang Do, Liang Jin, Qiyan Wang, Himanshu Khurana, Phuong T. Nguyen, Björn Richerzhagen, Pedro DeRose and Raghu Ramakrishnan and has published in prestigious journals such as IBM Journal of Research and Development, Pervasive and Mobile Computing and ACM Transactions on Multimedia Computing Communications and Applications.

In The Last Decade

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

Fields of papers citing papers by Long Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Vu

Since Specialization
Citations

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