Thang Le Duc

408 citations
17 papers · 283 · h-index 7

Impact in

    • IoT and Edge/Fog Computing
    • Energy Efficient Wireless Sensor Networks
    • Mobile Ad Hoc Networks
    • Software System Performance and Reliability
    • Software-Defined Networks and 5G
    • Cloud Computing and Resource Management
    • Blockchain Technology Applications and Security

Papers in

Thang Le Duc

17 papers receiving 279 citations

Peers

Thang Le Duc
Comparison fields: 5 of 43
  • Computer Networks and Communications 233
  • Information Systems 116
  • Computer Science Applications 8
  • Computer Vision and Pattern Recognition 26
  • Electrical and Electronic Engineering 71
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Kyi Thar South Korea
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Abdenacer Naouri China
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Sergej Svorobej Ireland
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Citations per field
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Citations per year

Countries citing papers authored by Thang Le Duc

Since Specialization
Citations

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

Fields of papers citing papers by Thang Le Duc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thang Le Duc. 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 Thang Le Duc. The network helps show where Thang Le Duc may publish in the future.

Co-authors

The 20 scholars most cited alongside Thang Le Duc, 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 Thang Le Duc Line = papers co-authored together Thang Le Duc links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2019144
2 201751
3 201523
4 201418
5 201614
6 20166
7 20166
8 20184
9 20214
10 20183
11 20252
12 20202
13 20162
14 20151
15 20161
16 20131
17 20131

About Thang Le Duc

Thang Le Duc is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Biomedical Engineering and Artificial Intelligence, having authored 17 papers that have together received 283 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (11 papers), Mobile Ad Hoc Networks (11 papers), Energy Harvesting in Wireless Networks (8 papers), Cloud Computing and Resource Management (5 papers), IoT and Edge/Fog Computing (3 papers), Software System Performance and Reliability (2 papers), Wireless Body Area Networks (2 papers) and Software-Defined Networks and 5G (1 paper). The work is most often cited by research in Computer Networks and Communications (233 citations), Information Systems (116 citations), Computer Science Applications (8 citations), Computer Vision and Pattern Recognition (26 citations) and Electrical and Electronic Engineering (71 citations). Thang Le Duc has collaborated with scholars based in South Korea, Russia and United States. Frequent co-authors include Per-Olov Östberg, Paolo Casari, Hyunseung Choo, Duc-Tai Le, Dongsoo S. Kim, Antonio Fernández Anta, John Kennedy, Theo Lynn, Philip Eardley and Sergej Svorobej. Their work appears in journals such as Journal of Parallel and Distributed Computing, Pervasive and Mobile Computing, Wireless Communications and Mobile Computing, ACM Computing Surveys and Electronics.

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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