Wenjun Wu
Impact in
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- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Opportunistic and Delay-Tolerant Networks
- Cooperative Communication and Network Coding
- Pollution top 5%
- Wastewater Treatment and Nitrogen Removal
Papers in
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- IoT and Edge/Fog Computing 15
- Age of Information Optimization 5
- Software-Defined Networks and 5G 5
- Caching and Content Delivery 4
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- Multilevel Inverters and Converters 4
- Advanced MIMO Systems Optimization 4
- Co-authors
- F. Richard Yu (7 shared papers)Pengbo Si (14 shared papers)Yanhua Zhang (7 shared papers)Zhuwei Wang (5 shared papers)Xiuhong Liu (3 shared papers)Bin Cui (3 shared papers)Chao Fang (4 shared papers)Haipeng Yao (1 shared paper)
In The Last Decade
Wenjun Wu
39 papers receiving 604 citations
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 364
- Pollution 149
- Industrial and Manufacturing Engineering 58
- Information Systems 115
- Catalysis 30
Countries citing papers authored by Wenjun Wu
This map shows the geographic impact of Wenjun 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 Wenjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjun Wu more than expected).
Fields of papers citing papers by Wenjun Wu
This network shows the impact of papers produced by Wenjun 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 Wenjun Wu. The network helps show where Wenjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenjun 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 140 | |
| 2 | 2020 | 87 | |
| 3 | 2020 | 80 | |
| 4 | 2021 | 42 | |
| 5 | 2019 | 34 | |
| 6 | 2021 | 29 | |
| 7 | 2020 | 26 | |
| 8 | 2019 | 20 | |
| 9 | 2020 | 18 | |
| 10 | 2017 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 10 | |
| 14 | 2024 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2010 | 5 | |
| 19 | 2010 | 5 | |
| 20 | 2018 | 4 |
About Wenjun Wu
Wenjun Wu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 613 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (15 papers), Blockchain Technology Applications and Security (5 papers), Age of Information Optimization (5 papers), Software-Defined Networks and 5G (5 papers), Multilevel Inverters and Converters (4 papers), Caching and Content Delivery (4 papers), Advanced MIMO Systems Optimization (4 papers) and Satellite Communication Systems (4 papers). The work is most often cited by research in Computer Networks and Communications (364 citations), Pollution (149 citations), Industrial and Manufacturing Engineering (58 citations), Information Systems (115 citations) and Catalysis (30 citations). Wenjun Wu has collaborated with scholars based in China, Canada and Japan. Frequent co-authors include F. Richard Yu, Pengbo Si, Yanhua Zhang, Zhuwei Wang, Xiuhong Liu, Bin Cui, Chao Fang, Haipeng Yao, Xiaoning Jin and Meng Li. Their work appears in journals such as IEEE Transactions on Vehicular Technology, Bioresource Technology, IEEE Communications Letters, IEEE Communications Surveys & Tutorials and IEEE Wireless Communications Letters.
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.