Ly Vu
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
-
- Network Security and Intrusion Detection
Papers in
-
- Anomaly Detection Techniques and Applications 8
- Internet Traffic Analysis and Secure E-voting 6
- Imbalanced Data Classification Techniques 3
-
- Network Security and Intrusion Detection 14
- Co-authors
- Quang Uy Nguyen (14 shared papers)Diep N. Nguyen (5 shared papers)Eryk Dutkiewicz (5 shared papers)Dinh Thai Hoang (5 shared papers)Van Loi Cao (2 shared papers)Trần Nguyên Ngọc (1 shared paper)Trung-Thanh Nguyen (1 shared paper)Quan Nguyen (1 shared paper)
- Journals
- IEEE Transactions on Cybernetics (2 papers)IEEE Access (1 paper)Journal of Computer Science and Cybernetics (1 paper)UTS ePRESS (University of Technology Sydney) (2 papers)
- Partner nations
- VietnamAustraliaSouth Korea
In The Last Decade
Ly Vu
18 papers receiving 398 citations
Peers
Comparison fields: 5 of 48
- Signal Processing 170
- Computer Networks and Communications 341
- Artificial Intelligence 310
- Information Systems 51
- Computer Vision and Pattern Recognition 37
Countries citing papers authored by Ly Vu
This map shows the geographic impact of Ly Vu'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 Ly Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ly Vu more than expected).
Fields of papers citing papers by Ly Vu
This network shows the impact of papers produced by Ly Vu. 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 Ly Vu. The network helps show where Ly Vu may publish in the future.
Co-authors
The 11 scholars most cited alongside Ly Vu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 94 | |
| 2 | 2017 | 89 | |
| 3 | 2020 | 63 | |
| 4 | 2022 | 59 | |
| 5 | 2018 | 24 | |
| 6 | 2019 | 22 | |
| 7 | 2016 | 21 | |
| 8 | 2020 | 9 | |
| 9 | 2019 | 9 | |
| 10 | 2017 | 6 | |
| 11 | 2021 | 4 | |
| 12 | 2015 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2023 | 0 |
About Ly Vu
Ly Vu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Pulmonary and Respiratory Medicine and Information Systems, having authored 20 papers that have together received 412 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (14 papers), Anomaly Detection Techniques and Applications (8 papers), Advanced Malware Detection Techniques (8 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Imbalanced Data Classification Techniques (3 papers), Video Surveillance and Tracking Methods (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Signal Processing (170 citations), Computer Networks and Communications (341 citations), Artificial Intelligence (310 citations), Information Systems (51 citations) and Computer Vision and Pattern Recognition (37 citations). Ly Vu has collaborated with scholars based in Vietnam, Australia and South Korea. Frequent co-authors include Quang Uy Nguyen, Diep N. Nguyen, Eryk Dutkiewicz, Dinh Thai Hoang, Van Loi Cao, Trần Nguyên Ngọc, Trung-Thanh Nguyen, Quan Nguyen, Anh Tuan Nguyen and Nguyễn Thị Thanh Thủy. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Access, Journal of Computer Science and Cybernetics and UTS ePRESS (University of Technology Sydney).
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.