Quoc Vu
Impact in
- Information Systems top 1%
- Data Mining Algorithms and Applications
- Web Data Mining and Analysis
- Signal Processing top 2%
- Data Management and Algorithms
Papers in
-
- Web Data Mining and Analysis 7
-
- Semantic Web and Ontologies 4
- Co-authors
- Ramakrishnan Srikant (1 shared paper)Rakesh Agrawal (1 shared paper)Wen‐Syan Li (6 shared papers)Divyakant Agrawal (4 shared papers)K. Selçuk Candan (2 shared papers)Hajime Takano (3 shared papers)Yoshinori Hara (3 shared papers)Okan Kolak (2 shared papers)
- Journals
- Continental Shelf Research (2 papers)Atmosphere (1 paper)Oceanography (1 paper)Dentomaxillofacial Radiology (1 paper)ACM SIGMOD Record (1 paper)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Quoc Vu
15 papers receiving 686 citations
Peers
Comparison fields: 5 of 71
- Information Systems 588
- Signal Processing 276
- Computational Theory and Mathematics 328
- Artificial Intelligence 281
- Computer Networks and Communications 180
Countries citing papers authored by Quoc Vu
This map shows the geographic impact of Quoc 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 Quoc Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quoc Vu more than expected).
Fields of papers citing papers by Quoc Vu
This network shows the impact of papers produced by Quoc 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 Quoc Vu. The network helps show where Quoc Vu may publish in the future.
Co-authors
The 25 scholars most cited alongside Quoc 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 | Mining association rules with item constraints | 1997 | 494 |
| 2 | 2001 | 73 | |
| 3 | 1999 | 48 | |
| 4 | 2000 | 22 | |
| 5 | 1999 | 19 | |
| 6 | 2012 | 18 | |
| 7 | 2002 | 17 | |
| 8 | 2001 | 15 | |
| 9 | 2021 | 12 | |
| 10 | 2012 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 1997 | 10 | |
| 13 | 2006 | 8 | |
| 14 | 1999 | 7 | |
| 15 | 2015 | 6 | |
| 16 | 2025 | 0 | |
| 17 | 2022 | 0 |
About Quoc Vu
Quoc Vu is a scholar working on Information Systems, Artificial Intelligence, Atmospheric Science, Computer Networks and Communications and Oceanography, having authored 17 papers that have together received 770 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (7 papers), Meteorological Phenomena and Simulations (4 papers), Semantic Web and Ontologies (4 papers), Climate variability and models (3 papers), Oceanographic and Atmospheric Processes (3 papers), Data Management and Algorithms (2 papers), Precipitation Measurement and Analysis (2 papers) and Tropical and Extratropical Cyclones Research (2 papers). The work is most often cited by research in Information Systems (588 citations), Signal Processing (276 citations), Computational Theory and Mathematics (328 citations), Artificial Intelligence (281 citations) and Computer Networks and Communications (180 citations). Quoc Vu has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Ramakrishnan Srikant, Rakesh Agrawal, Wen‐Syan Li, Divyakant Agrawal, K. Selçuk Candan, Hajime Takano, Yoshinori Hara, Okan Kolak, Peggy Li and Steve Chien. Their work appears in journals such as Continental Shelf Research, Atmosphere, Oceanography, Dentomaxillofacial Radiology and ACM SIGMOD Record.
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.