Qingtao Wu
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Co-authors
- Mingchuan ZhangRuijuan ZhengJunlong ZhuWangyang WeiYangfan ZhouJinghua XiaoLixiang LiZhiqing Shao
- Topics
- Distributed Control Multi-Agent Systems (18 papers)Network Security and Intrusion Detection (17 papers)Caching and Content Delivery (17 papers)
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Qingtao Wu
116 papers receiving 939 citations
Peers
Comparison fields: 5 of 111
- Computer Networks and Communications 472
- Artificial Intelligence 340
- Information Systems 181
- Computer Vision and Pattern Recognition 180
- Electrical and Electronic Engineering 125
Countries citing papers authored by Qingtao Wu
This map shows the geographic impact of Qingtao 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 Qingtao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingtao Wu more than expected).
Fields of papers citing papers by Qingtao Wu
This network shows the impact of papers produced by Qingtao 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 Qingtao Wu. The network helps show where Qingtao Wu may publish in the future.
Co-authorship network of co-authors of Qingtao Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Qingtao Wu. A scholar is included among the top collaborators of Qingtao 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 Qingtao Wu. Qingtao 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 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | Projection-free Decentralized Online Learning for Submodular Maximization over Time-Varying Networks | 7 |
| 17 | 1 | |
| 18 | 29 | |
| 19 | 9 | |
| 20 | Study on Optimum Component Combination Based on Multi-attribute Utility Function | 1 |
About Qingtao Wu
Qingtao Wu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Hardware and Architecture, having authored 135 papers that have together received 995 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (18 papers), Network Security and Intrusion Detection (17 papers) and Caching and Content Delivery (17 papers). The work is most often cited by research in Computer Networks and Communications (472 citations), Artificial Intelligence (340 citations) and Computer Vision and Pattern Recognition (180 citations). Qingtao Wu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Mingchuan Zhang, Ruijuan Zheng, Junlong Zhu, Wangyang Wei, Yangfan Zhou, Jinghua Xiao, Lixiang Li, Zhiqing Shao, Haipeng Peng and Yonggang Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.