S. Bing Yao
- Computer Networks and Communications top 0.5%
- Signal Processing top 0.5%
- Artificial Intelligence top 2%
- Information Systems top 2%
- Hardware and Architecture top 5%
- Co-authors
- Philip L. LehmanAlan R. HevnerPeter M. G. ApersDa-Wei LuoBarron C. HouselLarry KerschbergAlan G. MertenToby J. Teorey
- Topics
- Advanced Database Systems and Queries (36 papers)Data Management and Algorithms (21 papers)Distributed systems and fault tolerance (15 papers)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
S. Bing Yao
45 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 48
- Computer Networks and Communications 1.5k
- Signal Processing 861
- Artificial Intelligence 521
- Information Systems 338
- Hardware and Architecture 135
Countries citing papers authored by S. Bing Yao
This map shows the geographic impact of S. Bing Yao'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. Bing Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Bing Yao more than expected).
Fields of papers citing papers by S. Bing Yao
This network shows the impact of papers produced by S. Bing Yao. 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. Bing Yao. The network helps show where S. Bing Yao may publish in the future.
Co-authorship network of co-authors of S. Bing Yao
This figure shows the co-authorship network connecting the top 25 collaborators of S. Bing Yao. A scholar is included among the top collaborators of S. Bing Yao 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. Bing Yao. S. Bing Yao 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | An Iterative Method for Distributed Database Design | 15 |
| 6 | 9 | |
| 7 | 6 | |
| 8 | Optimization algorithms for distributed queries | 7 |
| 9 | Principles of database design | 35 |
| 10 | 1 | |
| 11 | 35 | |
| 12 | The System Architecture of a Database Machine (DBM). | 5 |
| 13 | Query Processing on a Distributed Database. | 11 |
| 14 | 1 | |
| 15 | 23 | |
| 16 | 22 | |
| 17 | 20 | |
| 18 | 1 | |
| 19 | 42 | |
| 20 | 68 |
About S. Bing Yao
S. Bing Yao is a scholar working on Signal Processing, Computer Networks and Communications and Hardware and Architecture, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (36 papers), Data Management and Algorithms (21 papers) and Distributed systems and fault tolerance (15 papers). The work is most often cited by research in Signal Processing (861 citations), Computer Networks and Communications (1.5k citations) and Hardware and Architecture (135 citations). S. Bing Yao has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Philip L. Lehman, Alan R. Hevner, Peter M. G. Apers, Da-Wei Luo, Barron C. Housel, Larry Kerschberg, Alan G. Merten, Toby J. Teorey, Zhongzhi Shi and David N. DeJong. Their work appears in journals such as Proceedings of the IEEE, Communications of the ACM and IEEE Transactions on Software Engineering.
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.