Quang Do
- Artificial Intelligence top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Kim‐Kwang Raymond ChooBen MartiniDan RothYee Seng ChanLong VuKlara NahrstedtWei LuGary Grudnitski
- Topics
- Advanced Malware Detection Techniques (11 papers)Topic Modeling (8 papers)Digital and Cyber Forensics (8 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Quang Do
28 papers receiving 760 citations
Peers
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
Countries citing papers authored by Quang Do
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
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
| # | 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 |
About Quang Do
Quang Do is a scholar working on Signal Processing, Transportation and Information Systems, having authored 29 papers that have together received 802 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (11 papers), Topic Modeling (8 papers) and Digital and Cyber Forensics (8 papers). The work is most often cited by research in Signal Processing (196 citations), Artificial Intelligence (392 citations) and Information Systems (253 citations). Quang Do has collaborated with scholars based in United States, Australia and China. Frequent 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. Their work appears in journals such as PLoS ONE, IEEE Transactions on Information Forensics and Security and Computer Networks.
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.