S. S. Yau
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Information Systems top 10%
- Topics
- Service-Oriented Architecture and Web Services (3 papers)Opportunistic and Delay-Tolerant Networks (3 papers)Context-Aware Activity Recognition Systems (3 papers)
- Cited by
- Hardware and ArchitectureComputational Theory and MathematicsComputer Networks and Communications
- Partner nations
- United StatesGermanyCanada
In The Last Decade
S. S. Yau
15 papers receiving 260 citations
Peers
Comparison fields: 5 of 58
- Computer Networks and Communications 99
- Computer Vision and Pattern Recognition 87
- Computational Theory and Mathematics 77
- Artificial Intelligence 71
- Information Systems 50
Countries citing papers authored by S. S. Yau
This map shows the geographic impact of S. S. Yau'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 S. S. Yau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. S. Yau more than expected).
Fields of papers citing papers by S. S. Yau
This network shows the impact of papers produced by S. S. Yau. 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 S. S. Yau. The network helps show where S. S. Yau may publish in the future.
Co-authorship network of co-authors of S. S. Yau
This figure shows the co-authorship network connecting the top 25 collaborators of S. S. Yau. A scholar is included among the top collaborators of S. S. Yau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. S. Yau. S. S. Yau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 19 | |
| 5 | 64 | |
| 6 | 19 | |
| 7 | 6 | |
| 8 | Error correction in redundant residue number systems | 6 |
| 9 | 2 | |
| 10 | 0 | |
| 11 | GQL: A GRAPHICS QUERY LANGUAGE FOR SOFTWARE MAINTENANCE ENVIRONMENT. | 1 |
| 12 | APPROACH TO INCREMENTAL PROGRAM MODIFICATION. | 3 |
| 13 | 39 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 102 | |
| 18 | 22 |
About S. S. Yau
S. S. Yau is a scholar working on Computer Networks and Communications, Hardware and Architecture and Geometry and Topology, having authored 18 papers that have together received 295 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Hardware and Architecture (38 citations), Computational Theory and Mathematics (77 citations) and Computer Networks and Communications (99 citations). S. S. Yau has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include S. L. Hakimi, F. Karim, Yu Wang, Yuchen Fu, Hessam S. Sarjoughian, N. Ye, H. Frank, Benjamin Melamed, J. Robert Kane and Jenny P. Tsai. Their work appears in journals such as Information Sciences, Computer and SIAM Review.
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.