P.S. Yu
Impact in
- Software top 5%
- Model-Driven Software Engineering Techniques
- Development top 2%
- Software Engineering and Design Patterns
Papers in
-
- Advanced Data Storage Technologies 4
- Distributed systems and fault tolerance 3
- Advanced Database Systems and Queries 3
-
- Algorithms and Data Compression 3
- Privacy-Preserving Technologies in Data 2
- Co-authors
- Frank Budinsky (1 shared paper)John M. Vlissides (1 shared paper)S. Ma (1 shared paper)Jiawei Han (1 shared paper)Jiong Yang (1 shared paper)Leon Stenneth (2 shared papers)Daniel M. Dias (1 shared paper)Bruno Ciciani (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Transactions on Software Engineering (1 paper)IEEE Transactions on Computers (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)IBM Systems Journal (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
P.S. Yu
14 papers receiving 459 citations
Peers
Comparison fields: 5 of 67
- Software 108
- Development 76
- Artificial Intelligence 303
- Information Systems 205
- Signal Processing 58
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 | 210 | |
| 2 | 2004 | 100 | |
| 3 | 2006 | 61 | |
| 4 | 1992 | 25 | |
| 5 | 2018 | 23 | |
| 6 | 2010 | 17 | |
| 7 | 1993 | 16 | |
| 8 | 2010 | 15 | |
| 9 | 2003 | 12 | |
| 10 | 1994 | 10 | |
| 11 | 2002 | 6 | |
| 12 | 1988 | 5 | |
| 13 | 2002 | 2 | |
| 14 | 2003 | 2 |
About P.S. Yu
P.S. Yu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Software and Hardware and Architecture, having authored 14 papers that have together received 504 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (4 papers), Distributed systems and fault tolerance (3 papers), Algorithms and Data Compression (3 papers), Advanced Database Systems and Queries (3 papers), Data Management and Algorithms (2 papers), Privacy-Preserving Technologies in Data (2 papers), Multimedia Communication and Technology (2 papers) and Software Engineering and Design Patterns (1 paper). The work is most often cited by research in Software (108 citations), Development (76 citations), Artificial Intelligence (303 citations), Information Systems (205 citations) and Signal Processing (58 citations). P.S. Yu has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Frank Budinsky, John M. Vlissides, S. Ma, Jiawei Han, Jiong Yang, Leon Stenneth, Daniel M. Dias, Bruno Ciciani, Kun‐Lung Wu and Avraham Leff. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems and IBM Systems Journal.
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.