Le‐Hung Vu

1.1k citations
13 papers · 321 · h-index 7

Impact in

Papers in

Le‐Hung Vu

13 papers receiving 305 citations

Peers

Le‐Hung Vu
Comparison fields: 5 of 25
  • Computer Networks and Communications 203
  • Artificial Intelligence 144
  • Information Systems 87
  • Statistical and Nonlinear Physics 37
  • Sociology and Political Science 116
Replace Doris Schiöberg with:
Doris Schiöberg Germany
Leucio Antonio Cutillo France
Ratan Dey United States
Scott Garriss United States
G. Lausen Germany
Chung-Wei Hang United States
Robert Escriva United States
Chris GauthierDickey United States
Demetris Antoniades Cyprus
Muhammad Ahmad Bashir United States
Le‐Hung Vu relative to Doris Schiöberg Germany Doris Schiöberg's profile →
Citations per field
00.5×1.5×
Doris Schiöberg · 1×
Citations per year

Countries citing papers authored by Le‐Hung Vu

Since Specialization
Citations

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

Fields of papers citing papers by Le‐Hung Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Le‐Hung Vu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Le‐Hung Vu Line = papers co-authored together Le‐Hung Vu links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2009243
2 200923
3 200913
4 20119
5 20087
6 20076
7
Implementing a P2P Social Network - Early Experiences and Insights from PeerSoN
20096
8 20144
9 20093
10 20073
11
An Extensible and Personalized Approach to QoS-enabled Semantic Web Service Discovery
20062
12
Probabilistic Estimation Quality Ratings of Online Services
20081
13
Improving Web Service Selection using Fuzzy Quality of Protection
20141

About Le‐Hung Vu

Le‐Hung Vu is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 13 papers that have together received 321 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (6 papers), Access Control and Trust (4 papers), Cryptography and Data Security (4 papers), Semantic Web and Ontologies (3 papers), Peer-to-Peer Network Technologies (3 papers), Privacy-Preserving Technologies in Data (3 papers), Caching and Content Delivery (2 papers) and Opportunistic and Delay-Tolerant Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (203 citations), Artificial Intelligence (144 citations), Information Systems (87 citations), Statistical and Nonlinear Physics (37 citations) and Sociology and Political Science (116 citations). Le‐Hung Vu has collaborated with scholars based in Switzerland, Germany and France. Frequent co-authors include Sonja Buchegger, Anwitaman Datta, Doris Schiöberg, Karl Aberer, Fábio Porto, Manfred Hauswirth, Thanasis G. Papaioannou and Jie Zhang. Their work appears in journals such as ACM Transactions on Autonomous and Adaptive Systems, Computational Intelligence and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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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