Wufei Wu
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Energy Efficient Wireless Sensor Networks 2
- Distributed and Parallel Computing Systems 2
- Network Security and Intrusion Detection 2
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- Parallel Computing and Optimization Techniques 4
- Real-Time Systems Scheduling 3
- Co-authors
- Renfa Li (5 shared papers)Keqin Li (4 shared papers)Guoqi Xie (3 shared papers)Jiyao An (1 shared paper)Jia Zhou (1 shared paper)Yang Bai (1 shared paper)Gang Zeng (5 shared papers)Ryo Kurachi (2 shared papers)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (2 papers)IEEE Access (2 papers)Future Generation Computer Systems (1 paper)Computers, materials & continua/Computers, materials & continua (Print) (1 paper)Journal of Systems Architecture (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Wufei Wu
11 papers receiving 432 citations
Peers
Comparison fields: 5 of 43
- Signal Processing 131
- Computer Networks and Communications 274
- Hardware and Architecture 50
- Automotive Engineering 81
- Artificial Intelligence 169
Countries citing papers authored by Wufei Wu
This map shows the geographic impact of Wufei 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 Wufei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wufei Wu more than expected).
Fields of papers citing papers by Wufei Wu
This network shows the impact of papers produced by Wufei 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 Wufei Wu. The network helps show where Wufei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wufei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 275 | |
| 2 | 2018 | 111 | |
| 3 | 2018 | 20 | |
| 4 | 2023 | 13 | |
| 5 | 2020 | 11 | |
| 6 | 2022 | 5 | |
| 7 | 2018 | 4 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2013 | 1 | |
| 12 | 2024 | 0 |
About Wufei Wu
Wufei Wu is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 446 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (5 papers), Cloud Computing and Resource Management (4 papers), Parallel Computing and Optimization Techniques (4 papers), Real-Time Systems Scheduling (3 papers), Energy Efficient Wireless Sensor Networks (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Distributed and Parallel Computing Systems (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Signal Processing (131 citations), Computer Networks and Communications (274 citations), Hardware and Architecture (50 citations), Automotive Engineering (81 citations) and Artificial Intelligence (169 citations). Wufei Wu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Renfa Li, Keqin Li, Guoqi Xie, Jiyao An, Jia Zhou, Yang Bai, Gang Zeng, Ryo Kurachi, Yizhi Huang and Y. Matsubara. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Access, Future Generation Computer Systems, Computers, materials & continua/Computers, materials & continua (Print) and Journal of Systems Architecture.
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.