Quynh Dang

1.2k citations
7 papers · 58 indexed · h-index 4
Topics
Cryptographic Implementations and Security (3 papers)Chaos-based Image/Signal Encryption (2 papers)Algorithms and Data Compression (2 papers)
Journals
CryptologiaPubMed
Partner nations
United StatesEgyptRussia

In The Last Decade

Quynh Dang

6 papers receiving 51 citations

Peers

Quynh Dang
Comparison fields: 5 of 19
  • Artificial Intelligence 31
  • Information Systems 27
  • Computer Networks and Communications 23
  • Computer Vision and Pattern Recognition 17
  • Signal Processing 13
Replace Andrew Regenscheid with:
Andrew Regenscheid United States
Bhavana Kanukurthi India
François Koeune Belgium
Daniel Apon United States
Paul Rösler Germany
Christian Forler Germany
Vesselin Velichkov Belgium
Elad Barkan Israel
Ravin Ahuja India
Satoshi Obana Japan
Quynh Dang relative to Andrew Regenscheid United States Andrew Regenscheid's profile →
Citations per field
00.5×1.5×2.3×
Andrew Regenscheid · 1×
Citations per year

Countries citing papers authored by Quynh Dang

Since Specialization
Citations

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

Fields of papers citing papers by Quynh Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quynh Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Quynh Dang. A scholar is included among the top collaborators of Quynh Dang 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 Quynh Dang. Quynh Dang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 25
2
Recommendation for Applications Using Approved Hash Algorithms | NIST
14
3
Encryption Basics | NIST
1
4
Encryption basics.
2
5
SP 800-106. Randomized Hashing for Digital Signatures
4
6
SP 800-107. Recommendation for Applications Using Approved Hash Algorithms
12
7
Additional Parameter sets for LMS Hash-Based Signatures
0

About Quynh Dang

Quynh Dang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 7 papers that have together received 58 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (3 papers), Chaos-based Image/Signal Encryption (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Signal Processing (13 citations), Information Systems (27 citations) and Hardware and Architecture (7 citations). Quynh Dang has collaborated with scholars based in United States, Egypt and Russia. Frequent co-authors include Kevin Stine and Scott Fluhrer. Their work appears in journals such as Cryptologia and PubMed.

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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