Do Le Quoc

608 citations
26 papers · 332 · h-index 11

Impact in

Papers in

    • Cloud Data Security Solutions 12
    • Cloud Computing and Resource Management 3
    • Security and Verification in Computing 13
    • Cryptography and Data Security 4
    • Data Stream Mining Techniques 3

Do Le Quoc

23 papers receiving 327 citations

Peers

Do Le Quoc
Comparison fields: 5 of 32
  • Computer Networks and Communications 192
  • Information Systems 156
  • Artificial Intelligence 195
  • Signal Processing 63
  • Hardware and Architecture 31
Replace S. Mary Saira Bhanu with:
S. Mary Saira Bhanu India
Qingchao Cai Singapore
Erez Waisbard Israel
Juncheng Yang United States
Alberto Lerner Switzerland
Gbadebo Ayoade United States
Nhan Nguyen United States
Nabíl Schear United States
Daniel Ellard United States
Changting Lin China
Do Le Quoc relative to S. Mary Saira Bhanu India S. Mary Saira Bhanu's profile →
Citations per field
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S. Mary Saira Bhanu · 1×
Citations per year

Countries citing papers authored by Do Le Quoc

Since Specialization
Citations

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

Fields of papers citing papers by Do Le Quoc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201854
2 201646
3 201739
4 202025
5 201919
6 202018
7 201918
8 201818
9 201515
10 201513
11 202113
12 20209
13
Avocado: A Secure In-Memory Distributed Storage System
20219
14 20216
15 20136
16 20145
17 20215
18 20204
19 20204
20 20212

About Do Le Quoc

Do Le Quoc is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Hardware and Architecture, having authored 26 papers that have together received 332 indexed citations. Recurring topics across this work include Security and Verification in Computing (13 papers), Cloud Data Security Solutions (12 papers), Cryptography and Data Security (4 papers), Advanced Malware Detection Techniques (4 papers), Advanced Data Storage Technologies (3 papers), Data Stream Mining Techniques (3 papers), Cloud Computing and Resource Management (3 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Computer Networks and Communications (192 citations), Information Systems (156 citations), Artificial Intelligence (195 citations), Signal Processing (63 citations) and Hardware and Architecture (31 citations). Do Le Quoc has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Christof W. Fetzer, Pramod Bhatotia, Ruichuan Chen, Thorsten Strufe, Myungjin Lee, Zhenyu Wen, Franz Gregor, Rodrigo Rodrigues, Jatinder Pal Singh and Volker Hilt. Their work appears in journals such as Queue, ZooKeys, Communications of the ACM, Lecture notes in computer science and Informatik-Spektrum.

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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