Dong Xin
Impact in
- Signal Processing top 0.5%
- Data Management and Algorithms
- Information Systems top 0.2%
- Data Mining Algorithms and Applications
- Web Data Mining and Analysis
Papers in
-
- Data Mining Algorithms and Applications 22
- Web Data Mining and Analysis 19
-
- Topic Modeling 8
- Semantic Web and Ontologies 8
- Co-authors
- Jiawei Han (22 shared papers)Hong Cheng (8 shared papers)Xifeng Yan (6 shared papers)Divesh Srivastava (10 shared papers)Kaushik Chakrabarti (9 shared papers)Xiaolei Li (4 shared papers)Surajit Chaudhuri (8 shared papers)Alon Halevy (3 shared papers)
- Journals
- Proceedings of the VLDB Endowment (8 papers)Journal of Bacteriology (3 papers)Journal of the American Medical Informatics Association (2 papers)Bioinformatics (2 papers)ACM SIGMOD Record (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Dong Xin
79 papers receiving 3.6k citations
Dong Xin's Hit Papers
Peers
Comparison fields: 5 of 115
- Signal Processing 1.3k
- Information Systems 2.1k
- Artificial Intelligence 1.9k
- Management Science and Operations Research 646
- Computer Networks and Communications 1.1k
Countries citing papers authored by Dong Xin
This map shows the geographic impact of Dong Xin'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 Dong Xin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Xin more than expected).
Fields of papers citing papers by Dong Xin
This network shows the impact of papers produced by Dong Xin. 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 Dong Xin. The network helps show where Dong Xin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong Xin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Frequent pattern mining: current status and future directions Hit paper breakdown → | 2007 | 1045 |
| 2 | Web-scale Data Integration: You can only afford to Pay As You Go | 2007 | 240 |
| 3 | 2012 | 189 | |
| 4 | Mining compressed frequent-pattern sets | 2005 | 154 |
| 5 | 2005 | 145 | |
| 6 | 2011 | 124 | |
| 7 | 2012 | 109 | |
| 8 | 2003 | 104 | |
| 9 | 2011 | 101 | |
| 10 | 2013 | 96 | |
| 11 | 2010 | 92 | |
| 12 | 2006 | 82 | |
| 13 | 2005 | 58 | |
| 14 | 2011 | 58 | |
| 15 | 2007 | 55 | |
| 16 | 2008 | 54 | |
| 17 | 2006 | 53 | |
| 18 | 2006 | 48 | |
| 19 | 2009 | 46 | |
| 20 | 2006 | 45 |
About Dong Xin
Dong Xin is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Management Science and Operations Research, having authored 81 papers that have together received 3.8k indexed citations. Recurring topics across this work include Data Management and Algorithms (27 papers), Advanced Database Systems and Queries (25 papers), Data Quality and Management (23 papers), Data Mining Algorithms and Applications (22 papers), Web Data Mining and Analysis (19 papers), Topic Modeling (8 papers), Rough Sets and Fuzzy Logic (8 papers) and Semantic Web and Ontologies (8 papers). The work is most often cited by research in Signal Processing (1.3k citations), Information Systems (2.1k citations), Artificial Intelligence (1.9k citations), Management Science and Operations Research (646 citations) and Computer Networks and Communications (1.1k citations). Dong Xin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jiawei Han, Hong Cheng, Xifeng Yan, Divesh Srivastava, Kaushik Chakrabarti, Xiaolei Li, Surajit Chaudhuri, Alon Halevy, Jayant Madhavan and Zheng Shao. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Bacteriology, Journal of the American Medical Informatics Association, Bioinformatics 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.