Congzhen Yu
Impact in
- Signal Processing top 0.5%
- Data Management and Algorithms
- Information Systems top 0.5%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
Papers in
-
- Data Management and Algorithms 50
-
- Advanced Database Systems and Queries 53
- Distributed systems and fault tolerance 16
- Co-authors
- Gerard Salton (9 shared papers)Yang Chul-Su (1 shared paper)Weiyi Meng (3 shared papers)Fang Liu (1 shared paper)Yuksel Alp Aslandogan (3 shared papers)A.W.-C. Fu (1 shared paper)K.C. Lam (7 shared papers)Wei Sun (4 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (11 papers)Journal of the ACM (6 papers)ACM Transactions on Database Systems (5 papers)IEEE Transactions on Software Engineering (4 papers)ACM SIGMOD Record (3 papers)
- Partner nations
- United StatesCanadaHong Kong
In The Last Decade
Congzhen Yu
86 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 120
- Signal Processing 1.1k
- Information Systems 1.1k
- Computer Networks and Communications 1.0k
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 520
Countries citing papers authored by Congzhen Yu
This map shows the geographic impact of Congzhen 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 Congzhen Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congzhen Yu more than expected).
Fields of papers citing papers by Congzhen Yu
This network shows the impact of papers produced by Congzhen 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 Congzhen Yu. The network helps show where Congzhen Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Congzhen 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1975 | 297 | |
| 2 | 2004 | 266 | |
| 3 | 1999 | 192 | |
| 4 | 1984 | 188 | |
| 5 | 2003 | 183 | |
| 6 | 1999 | 147 | |
| 7 | 1976 | 129 | |
| 8 | 1989 | 61 | |
| 9 | 1985 | 49 | |
| 10 | An evaluation of term dependence models in information retrieval | 1982 | 48 |
| 11 | 1983 | 47 | |
| 12 | 2006 | 45 | |
| 13 | 1982 | 44 | |
| 14 | 2002 | 43 | |
| 15 | 1976 | 38 | |
| 16 | 1981 | 38 | |
| 17 | 1985 | 36 | |
| 18 | 1981 | 35 | |
| 19 | 1985 | 32 | |
| 20 | 1990 | 32 |
About Congzhen Yu
Congzhen Yu is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 97 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (53 papers), Data Management and Algorithms (50 papers), Distributed systems and fault tolerance (16 papers), Algorithms and Data Compression (16 papers), Semantic Web and Ontologies (15 papers), Web Data Mining and Analysis (11 papers), Advanced Text Analysis Techniques (11 papers) and Information Retrieval and Search Behavior (7 papers). The work is most often cited by research in Signal Processing (1.1k citations), Information Systems (1.1k citations), Computer Networks and Communications (1.0k citations), Artificial Intelligence (1.3k citations) and Computer Vision and Pattern Recognition (520 citations). Congzhen Yu has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include Gerard Salton, Yang Chul-Su, Weiyi Meng, Fang Liu, Yuksel Alp Aslandogan, A.W.-C. Fu, K.C. Lam, Wei Sun, Arthur Ardeshir Goshtasby and Vijay V. Raghavan. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of the ACM, ACM Transactions on Database Systems, IEEE Transactions on Software Engineering 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.