Long Vu

27 papers receiving 460 citations

Peers

Long Vu
Comparison fields: 5 of 49
  • Computer Networks and Communications 372
  • Transportation 129
  • Electrical and Electronic Engineering 96
  • Computer Vision and Pattern Recognition 90
  • Artificial Intelligence 43
Replace Elmurod Talipov with:
Elmurod Talipov South Korea
Libo Song United States
Jinghua Zhu China
Wei-jen Hsu United States
Fei Yi China
Jilong Liao United States
Benoît Garbinato Switzerland
Terry H. S. Chu Canada
Luoyang Fang United States
Mengyuan Wang China
Long Vu relative to Elmurod Talipov South Korea Elmurod Talipov's profile →
Citations per field
00.5×1.5×1.9×
Elmurod Talipov · 1×
Citations per year

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).

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.

Co-authorship network of co-authors of Long Vu

This figure shows the co-authorship network connecting the top 25 collaborators of Long Vu. A scholar is included among the top collaborators of Long Vu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Long Vu. Long Vu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 53
3 4
4 27
5 13
6 2
7
Readiness of 802.11 Infrastructure for Mobile Learning Communities
1
8 2
9 27
10 10
11 49
12 40
13
Characterizing and leveraging people movement for content distribution in mobile peer-to-peer networks
3
14
Lessons Learned from Bluetooth/Wifi Scanning Deployment in University Campus
5
15
Identifying malicious nodes in network-coding-based peer-to-peer streaming networks
20
16 8
17 4
18 19
19 5
20
Mapping the PPLive Network: Studying the Impacts of Media Streaming on P2P Overlays
31

About Long Vu

Long Vu is a scholar working on Computer Networks and Communications, Transportation and Computer Science Applications, having authored 27 papers that have together received 485 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (14 papers), Caching and Content Delivery (9 papers) and Peer-to-Peer Network Technologies (8 papers). The work is most often cited by research in Transportation (129 citations), Computer Networks and Communications (372 citations) and Computer Science Applications (29 citations). Long Vu has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Klara Nahrstedt, Indranil Gupta, Liang Jin, Quang Do, Phuong T. Nguyen, Qiyan Wang, Himanshu Khurana, Björn Richerzhagen, Pedro DeRose and Warren Shen. Their work appears in journals such as IBM Journal of Research and Development, Pervasive and Mobile Computing and ACM Transactions on Multimedia Computing Communications and Applications.

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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