Quang Do

1.3k total citations
29 papers, 802 citations indexed

About

Quang Do is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Quang Do has authored 29 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 12 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Quang Do's work include Advanced Malware Detection Techniques (11 papers), Topic Modeling (8 papers) and Digital and Cyber Forensics (8 papers). Quang Do is often cited by papers focused on Advanced Malware Detection Techniques (11 papers), Topic Modeling (8 papers) and Digital and Cyber Forensics (8 papers). Quang Do collaborates with scholars based in United States, Australia and China. Quang Do's co-authors include Kim‐Kwang Raymond Choo, Ben Martini, Dan Roth, Yee Seng Chan, Long Vu, Klara Nahrstedt, Wei Lu, Gary Grudnitski, V. G. Vinod Vydiswaran and Mark Sammons and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Information Forensics and Security and Computer Networks.

In The Last Decade

Quang Do

28 papers receiving 760 citations

Peers

Quang Do
Comparison fields: 5 of 81
  • Artificial Intelligence 392
  • Information Systems 253
  • Signal Processing 196
  • Computer Networks and Communications 184
  • Computer Vision and Pattern Recognition 85
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Jingping Bi China View profile →
Citations per field, relative to Quang Do
Quang Do · 1×
Citations per year, relative to Quang Do
Quang Do · 1×

Countries citing papers authored by Quang Do

Since Specialization
Citations

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

Fields of papers citing papers by Quang Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quang Do

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 8
3 70
4 53
5 18
6
Enforcing File System Permissions on Android External Storage
1
7 1
8 10
9 5
10
Joint Inference for Event Timeline Construction
89
11
A Robust Shallow Temporal Reasoning System
7
12
Minimally Supervised Event Causality Identification
109
13 27
14
Constraints Based Taxonomic Relation Classification
14
15
COMFA: Exploiting Regularity of People Movement for Message Forwarding in Community-based Delay Tolerant Networks
6
16
Relation Alignment for Textual Entailment Recognition.
21
17 3
18 6
19 0
20 34

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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