P.S. Yu
Impact in
- Software top 5%
- Model-Driven Software Engineering Techniques
- Development top 2%
- Software Engineering and Design Patterns
Papers in
-
- Distributed systems and fault tolerance 4
- Advanced Data Storage Technologies 4
- Advanced Database Systems and Queries 3
-
- Algorithms and Data Compression 3
- Privacy-Preserving Technologies in Data 2
- Cryptography and Data Security 1
- Co-authors
- Frank Budinsky (1 shared paper)John Vlissides (1 shared paper)S. Ma (1 shared paper)Kun‐Lung Wu (4 shared papers)Ming-Syan Chen⋆ (2 shared papers)Jiawei Han (1 shared paper)Jiong Yang (1 shared paper)Leon Stenneth (2 shared papers)
- Journals
- IEEE Transactions on Computers (1 paper)IEEE Transactions on Software Engineering (1 paper)IBM Systems Journal (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
P.S. Yu
15 papers receiving 495 citations
Peers
Comparison fields: 5 of 65
- Software 111
- Development 79
- Information Systems 214
- Artificial Intelligence 311
- Computer Networks and Communications 154
Countries citing papers authored by P.S. Yu
This map shows the geographic impact of P.S. 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 P.S. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.S. Yu more than expected).
Fields of papers citing papers by P.S. Yu
This network shows the impact of papers produced by P.S. 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 P.S. Yu. The network helps show where P.S. Yu may publish in the future.
Co-authors
The 23 scholars most cited alongside P.S. 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
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 214 | |
| 2 | 2004 | 98 | |
| 3 | 2006 | 63 | |
| 4 | 2002 | 37 | |
| 5 | 1992 | 26 | |
| 6 | 2018 | 21 | |
| 7 | 2010 | 17 | |
| 8 | 1993 | 16 | |
| 9 | 2010 | 15 | |
| 10 | 2003 | 13 | |
| 11 | 1994 | 10 | |
| 12 | 2002 | 6 | |
| 13 | 1988 | 5 | |
| 14 | 2002 | 2 | |
| 15 | 2003 | 2 |
About P.S. Yu
P.S. Yu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Sociology and Political Science, having authored 15 papers that have together received 545 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (4 papers), Advanced Data Storage Technologies (4 papers), Advanced Database Systems and Queries (3 papers), Algorithms and Data Compression (3 papers), Multimedia Communication and Technology (2 papers), Data Management and Algorithms (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Cryptography and Data Security (1 paper). The work is most often cited by research in Software (111 citations), Development (79 citations), Information Systems (214 citations), Artificial Intelligence (311 citations) and Computer Networks and Communications (154 citations). P.S. Yu has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Frank Budinsky, John Vlissides, S. Ma, Kun‐Lung Wu, Ming-Syan Chen⋆, Jiawei Han, Jiong Yang, Leon Stenneth, D.M. Dias and Bruno Ciciani. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Software Engineering, IBM Systems Journal, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Parallel and Distributed Systems.
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.