Van Dang
Impact in
- Information Systems top 2%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Recommender Systems and Techniques
- Artificial Intelligence top 5%
- Topic Modeling
Papers in
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- Information Retrieval and Search Behavior 5
- Web Data Mining and Analysis 3
- Spam and Phishing Detection 1
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- Topic Modeling 5
- Semantic Web and Ontologies 2
- Co-authors
- W. Bruce Croft (4 shared papers)Bruce Croft (2 shared papers)Evgeniy Gabrilovich (2 shared papers)Wei Zhang (2 shared papers)Xin Luna Dong (2 shared papers)Camillo Lugaresi (2 shared papers)Kevin Murphy (2 shared papers)Shaohua Sun (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (1 paper)RMIT Research Repository (RMIT University Library) (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- United States
In The Last Decade
Van Dang
9 papers receiving 430 citations
Peers
Comparison fields: 5 of 42
- Information Systems 315
- Artificial Intelligence 264
- Signal Processing 72
- Management Science and Operations Research 60
- Computer Vision and Pattern Recognition 90
Countries citing papers authored by Van Dang
This map shows the geographic impact of Van 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 Van Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Van Dang more than expected).
Fields of papers citing papers by Van Dang
This network shows the impact of papers produced by Van 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 Van Dang. The network helps show where Van Dang may publish in the future.
Co-authors
The 11 scholars most cited alongside Van Dang, 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 | 2012 | 134 | |
| 2 | 2015 | 117 | |
| 3 | 2010 | 100 | |
| 4 | 2013 | 53 | |
| 5 | 2011 | 23 | |
| 6 | 2010 | 16 | |
| 7 | 2015 | 11 | |
| 8 | 2012 | 2 | |
| 9 | Query Substitution based on N-gram Analysis | 2009 | 1 |
About Van Dang
Van Dang is a scholar working on Information Systems, Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications and Sociology and Political Science, having authored 9 papers that have together received 457 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Information Retrieval and Search Behavior (5 papers), Web Data Mining and Analysis (3 papers), Data Management and Algorithms (2 papers), Access Control and Trust (2 papers), Semantic Web and Ontologies (2 papers), Data Quality and Management (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Information Systems (315 citations), Artificial Intelligence (264 citations), Signal Processing (72 citations), Management Science and Operations Research (60 citations) and Computer Vision and Pattern Recognition (90 citations). Van Dang has collaborated with scholars based in United States. Frequent co-authors include W. Bruce Croft, Bruce Croft, Evgeniy Gabrilovich, Wei Zhang, Xin Luna Dong, Camillo Lugaresi, Kevin Murphy, Shaohua Sun, Xiaobing Xue and Michael Bendersky. Their work appears in journals such as Proceedings of the VLDB Endowment, RMIT Research Repository (RMIT University Library) and arXiv (Cornell University).
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.