Wentao Wu

2.2k citations
50 papers · 1.2k indexed · 1 hit paper · h-index 15

Wentao Wu

48 papers receiving 1.2k citations

Hit Papers

Probase4912012202620162021100200300400

Peers

Wentao Wu
Comparison fields: 5 of 77
  • Artificial Intelligence 806
  • Signal Processing 195
  • Computer Networks and Communications 364
  • Information Systems 351
  • Management Science and Operations Research 152
Replace Yuanbo Guo with:
Yuanbo Guo China
Jeff Heflin United States
Zhanhuai Li China
Kristie Seymore United States
Colin Evans United States
Xiao Yu China
Huan Sun United States
Fatma Özcan United States
Carsten Binnig Germany
Arnd Christian König United States
Wentao Wu relative to Yuanbo Guo China Yuanbo Guo's profile →
Citations per field
00.5×1.5×1.9×
Yuanbo Guo · 1×
Citations per year

Countries citing papers authored by Wentao Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Wentao Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wentao Wu Line = papers co-authored together Wentao Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20242
4 20242
5 20241
6 20240
7 20233
8 20221
9 202216
10
Magpie: Python at Speed and Scale using Cloud Backends.
20219
11
Ease.ML: A Lifecycle Management System for MLDev and MLOps
20213
12 20219
13 20217
14 20208
15 202076
16
Serverless Event-Stream Processing over Virtual Actors.
20192
17 201980
18 201725
19 20112
20 20097

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), Machine Learning and Data Classification (8 papers), Data Management and Algorithms (7 papers), Scientific Computing and Data Management (7 papers), Machine Learning and Algorithms (5 papers), Software Engineering Research (5 papers) and Advanced Data Storage Technologies (5 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.

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