Hoang-Vu Dang

459 citations
22 papers · 315 · h-index 9

Impact in

Papers in

Hoang-Vu Dang

21 papers receiving 303 citations

Peers

Hoang-Vu Dang
Comparison fields: 5 of 58
  • Hardware and Architecture 117
  • Computer Networks and Communications 137
  • Computer Vision and Pattern Recognition 121
  • Computational Mathematics 2
  • Artificial Intelligence 81
Replace Haihang You with:
Haihang You China
Patrick O’Leary United States
Rajiv Wickremesinghe United States
Marco Lapegna Italy
Nikoli Dryden United States
Massimo Ancona Italy
Jon M. Hjelmervik Norway
Haiying Xu United States
Sébastien Jourdain United States
R. C. Steinke United States
Hoang-Vu Dang relative to Haihang You China Haihang You's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hoang-Vu Dang

Since Specialization
Citations

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

Fields of papers citing papers by Hoang-Vu Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hoang-Vu Dang, 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 Hoang-Vu Dang Line = papers co-authored together Hoang-Vu Dang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201877
2 201549
3 201341
4 201620
5 201819
6 201617
7 201915
8 201215
9 201714
10 20147
11 20186
12 20086
13 20155
14 20145
15 20154
16 20214
17 20123
18 20173
19 20182
20 20141

About Hoang-Vu Dang

Hoang-Vu Dang is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 315 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Advanced Data Storage Technologies (9 papers), Distributed and Parallel Computing Systems (5 papers), Graph Theory and Algorithms (4 papers), Advanced Graph Neural Networks (3 papers), Distributed systems and fault tolerance (3 papers), Cloud Computing and Resource Management (3 papers) and Interconnection Networks and Systems (3 papers). The work is most often cited by research in Hardware and Architecture (117 citations), Computer Networks and Communications (137 citations), Computer Vision and Pattern Recognition (121 citations), Computational Mathematics (2 citations) and Artificial Intelligence (81 citations). Hoang-Vu Dang has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Bertil Schmidt, Marc Snir, Gurbinder Gill, Roshan Dathathri, Loc Hoang, Keshav Pingali, Nikoli Dryden, Alex Brooks, Phong V. V. Le and Praveen Kumar. Their work appears in journals such as Parallel Computing, ACM Transactions on Knowledge Discovery from Data, The International Journal of High Performance Computing Applications, Notre Dame Journal of Formal Logic and Computer Speech & Language.

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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