Sai Wu
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Caching and Content Delivery
- Advanced Data Storage Technologies
Papers in ⓘ
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- Advanced Database Systems and Queries 19
- Peer-to-Peer Network Technologies 13
- Caching and Content Delivery 13
- Advanced Data Storage Technologies 11
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- Cloud Computing and Resource Management 23
- Co-authors
- Beng Chin Ooi (19 shared papers)Dawei Jiang (12 shared papers)Lei Shi (2 shared papers)Kian‐Lee Tan (13 shared papers)Dongxiang Zhang (13 shared papers)Gang Chen (23 shared papers)Feng Li (2 shared papers)Chun Chen (4 shared papers)
- Journals
- Proceedings of the VLDB Endowment (13 papers)IEEE Transactions on Knowledge and Data Engineering (9 papers)Data Science and Engineering (3 papers)Information Sciences (2 papers)ACM Computing Surveys (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Sai Wu
111 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Signal Processing 578
- Computer Networks and Communications 1.1k
- Information Systems 1.1k
- Computer Science Applications 194
- Computer Vision and Pattern Recognition 468
Countries citing papers authored by Sai Wu
This map shows the geographic impact of Sai Wu'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 Sai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Wu more than expected).
Fields of papers citing papers by Sai Wu
This network shows the impact of papers produced by Sai Wu. 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 Sai Wu. The network helps show where Sai Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sai Wu, 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The performance of MapReduce Hit paper breakdown → | 2010 | 278 |
| 2 | 2012 | 183 | |
| 3 | 2010 | 118 | |
| 4 | 2014 | 110 | |
| 5 | 2011 | 105 | |
| 6 | 2010 | 95 | |
| 7 | 2016 | 91 | |
| 8 | 2011 | 76 | |
| 9 | 2011 | 73 | |
| 10 | 2019 | 61 | |
| 11 | 2011 | 60 | |
| 12 | 2016 | 50 | |
| 13 | 2010 | 50 | |
| 14 | 2009 | 47 | |
| 15 | 2014 | 43 | |
| 16 | 2013 | 34 | |
| 17 | 2014 | 31 | |
| 18 | 2011 | 31 | |
| 19 | 2020 | 30 | |
| 20 | 2013 | 30 |
About Sai Wu
Sai Wu is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 123 papers that have together received 2.2k indexed citations. Recurring topics across this work include Data Management and Algorithms (32 papers), Cloud Computing and Resource Management (23 papers), Advanced Database Systems and Queries (19 papers), Peer-to-Peer Network Technologies (13 papers), Caching and Content Delivery (13 papers), Data Quality and Management (11 papers), Advanced Data Storage Technologies (11 papers) and Advanced Image and Video Retrieval Techniques (11 papers). The work is most often cited by research in Signal Processing (578 citations), Computer Networks and Communications (1.1k citations), Information Systems (1.1k citations), Computer Science Applications (194 citations) and Computer Vision and Pattern Recognition (468 citations). Sai Wu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Beng Chin Ooi, Dawei Jiang, Lei Shi, Kian‐Lee Tan, Dongxiang Zhang, Gang Chen, Feng Li, Chun Chen, Jianzhong Li and Yanyan Shen. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Data Science and Engineering, Information Sciences and ACM Computing Surveys.
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.