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
- Caching and Content Delivery 15
- Peer-to-Peer Network Technologies 14
- Advanced Data Storage Technologies 12
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- Data Management and Algorithms 35
- Co-authors
- Beng Chin Ooi (20 shared papers)Dawei Jiang (13 shared papers)Lei Shi (2 shared papers)Kian‐Lee Tan (14 shared papers)Gang Chen (26 shared papers)Dongxiang Zhang (14 shared papers)Chun Chen (4 shared papers)Feng Li (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (14 papers)IEEE Transactions on Knowledge and Data Engineering (10 papers)Data Science and Engineering (3 papers)Expert Systems with Applications (2 papers)ACM Computing Surveys (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Sai Wu
127 papers receiving 2.4k citations
Sai Wu's Hit Papers
Peers
Comparison fields: 5 of 104
- Signal Processing 600
- Computer Networks and Communications 1.2k
- Information Systems 1.2k
- Computer Science Applications 226
- Computer Vision and Pattern Recognition 526
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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The performance of MapReduce Hit paper breakdown → | 2010 | 316 |
| 2 | 2012 | 212 | |
| 3 | 2014 | 128 | |
| 4 | 2011 | 116 | |
| 5 | 2010 | 113 | |
| 6 | 2016 | 105 | |
| 7 | 2011 | 95 | |
| 8 | 2011 | 87 | |
| 9 | 2019 | 66 | |
| 10 | 2011 | 65 | |
| 11 | 2010 | 58 | |
| 12 | 2009 | 56 | |
| 13 | 2016 | 54 | |
| 14 | 2014 | 51 | |
| 15 | 2013 | 45 | |
| 16 | 2011 | 38 | |
| 17 | An Indexing Framework for Efficient Retrieval on the Cloud. | 2009 | 38 |
| 18 | 2013 | 34 | |
| 19 | 2020 | 33 | |
| 20 | 2014 | 33 |
About Sai Wu
Sai Wu is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 136 papers that have together received 2.5k indexed citations. Recurring topics across this work include Data Management and Algorithms (35 papers), Cloud Computing and Resource Management (24 papers), Advanced Database Systems and Queries (19 papers), Caching and Content Delivery (15 papers), Peer-to-Peer Network Technologies (14 papers), Advanced Data Storage Technologies (12 papers), Data Quality and Management (11 papers) and Advanced Image and Video Retrieval Techniques (11 papers). The work is most often cited by research in Signal Processing (600 citations), Computer Networks and Communications (1.2k citations), Information Systems (1.2k citations), Computer Science Applications (226 citations) and Computer Vision and Pattern Recognition (526 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, Gang Chen, Dongxiang Zhang, Chun Chen, Feng Li, Anthony K. H. Tung 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, Expert Systems with Applications 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.