Cong Yu
Impact in
- Signal Processing top 0.5%
- Data Management and Algorithms
- Information Systems top 0.2%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
Papers in
-
- Semantic Web and Ontologies 25
- Topic Modeling 23
-
- Web Data Mining and Analysis 34
- Recommender Systems and Techniques 15
- Co-authors
- Sihem Amer-Yahia (19 shared papers)H. V. Jagadish (13 shared papers)Alon Halevy (8 shared papers)Laks V. S. Lakshmanan (8 shared papers)Gautam Das (8 shared papers)Wei Pan (10 shared papers)Martin Freedman (3 shared papers)Senjuti Basu Roy (4 shared papers)
- Journals
- Proceedings of the VLDB Endowment (16 papers)The VLDB Journal (7 papers)Energy and Buildings (5 papers)Journal of Information Systems (5 papers)ACM SIGMOD Record (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Cong Yu
178 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 165
- Signal Processing 1.1k
- Information Systems 1.5k
- Management Science and Operations Research 775
- Computer Networks and Communications 1.4k
- Artificial Intelligence 1.7k
Countries citing papers authored by Cong Yu
This map shows the geographic impact of Cong Yu'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 Cong Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Yu more than expected).
Fields of papers citing papers by Cong Yu
This network shows the impact of papers produced by Cong Yu. 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 Cong Yu. The network helps show where Cong Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Yu, 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 181 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 272 | |
| 2 | 2002 | 230 | |
| 3 | 2010 | 213 | |
| 4 | Web-scale Data Integration: You can only afford to Pay As You Go | 2007 | 199 |
| 5 | 2008 | 184 | |
| 6 | 2007 | 149 | |
| 7 | 2020 | 142 | |
| 8 | 2009 | 119 | |
| 9 | 2011 | 118 | |
| 10 | 2011 | 113 | |
| 11 | 2012 | 106 | |
| 12 | 2006 | 100 | |
| 13 | 2014 | 87 | |
| 14 | 2004 | 83 | |
| 15 | 1993 | 76 | |
| 16 | Semantic adaptation of schema mappings when schemas evolve | 2005 | 68 |
| 17 | Computational Journalism: A Call to Arms to Database Researchers | 2011 | 66 |
| 18 | 2006 | 62 | |
| 19 | 2020 | 59 | |
| 20 | 2014 | 57 |
About Cong Yu
Cong Yu is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Management Science and Operations Research and Computer Networks and Communications, having authored 181 papers that have together received 4.9k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (34 papers), Data Management and Algorithms (33 papers), Data Quality and Management (31 papers), Advanced Database Systems and Queries (28 papers), Semantic Web and Ontologies (25 papers), Topic Modeling (23 papers), Recommender Systems and Techniques (15 papers) and Rock Mechanics and Modeling (15 papers). The work is most often cited by research in Signal Processing (1.1k citations), Information Systems (1.5k citations), Management Science and Operations Research (775 citations), Computer Networks and Communications (1.4k citations) and Artificial Intelligence (1.7k citations). Cong Yu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Sihem Amer-Yahia, H. V. Jagadish, Alon Halevy, Laks V. S. Lakshmanan, Gautam Das, Wei Pan, Martin Freedman, Senjuti Basu Roy, Xin Luna Dong and You Wu. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal, Energy and Buildings, Journal of Information Systems 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.