Wentao Wu
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Haixun WangKenny Q. ZhuHongsong LiJeffrey F. NaughtonHakan HacígümüşYün ChiCe ZhangYanghua Xiao
- Topics
- Advanced Database Systems and Queries (11 papers)Cloud Computing and Resource Management (9 papers)Machine Learning and Data Classification (8 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Wentao Wu
48 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 806
- Computer Networks and Communications 364
- Information Systems 351
- Signal Processing 195
- Computer Vision and Pattern Recognition 192
Countries citing papers authored by Wentao Wu
This map shows the geographic impact of Wentao 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 Wentao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wentao Wu more than expected).
Fields of papers citing papers by Wentao Wu
This network shows the impact of papers produced by Wentao 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 Wentao Wu. The network helps show where Wentao Wu may publish in the future.
Co-authorship network of co-authors of Wentao Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Wentao Wu. A scholar is included among the top collaborators of Wentao Wu 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 Wentao Wu. Wentao Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | Magpie: Python at Speed and Scale using Cloud Backends. | 9 |
| 11 | Ease.ML: A Lifecycle Management System for MLDev and MLOps | 3 |
| 12 | 9 | |
| 13 | 7 | |
| 14 | 8 | |
| 15 | 76 | |
| 16 | Serverless Event-Stream Processing over Virtual Actors. | 2 |
| 17 | 80 | |
| 18 | 25 | |
| 19 | 2 | |
| 20 | 7 |
About Wentao Wu
Wentao Wu is a scholar working on Information Systems and Management, Software and Information Systems, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (11 papers), Cloud Computing and Resource Management (9 papers) and Machine Learning and Data Classification (8 papers). The work is most often cited by research in Artificial Intelligence (806 citations), Signal Processing (195 citations) and Computer Networks and Communications (364 citations). Wentao Wu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Haixun Wang, Kenny Q. Zhu, Hongsong Li, Jeffrey F. Naughton, Hakan Hacígümüş, Yün Chi, Ce Zhang, Yanghua Xiao, Zhenying He and Wei Wang. Their work appears in journals such as Nutrients, Pattern Recognition and IEEE Transactions on Knowledge and Data 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.