Wang Wei
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- IoT and Edge/Fog Computing
Papers in
-
- IoT and Edge/Fog Computing 7
- Advanced Database Systems and Queries 4
- Software-Defined Networks and 5G 2
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- Cloud Computing and Resource Management 7
- Blockchain Technology Applications and Security 4
- Data Mining Algorithms and Applications 2
- Co-authors
- Jeffrey Xu Yu (1 shared paper)Hongjun Lü (1 shared paper)Jianlin Feng (1 shared paper)Guosun Zeng (2 shared papers)Daizhong Tang (1 shared paper)Yongmin Zhang (7 shared papers)Deng Li (2 shared papers)Jiaqi Liu (2 shared papers)
In The Last Decade
Wang Wei
25 papers receiving 271 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 99
- Computer Networks and Communications 181
- Information Systems 129
- Artificial Intelligence 78
- Computer Science Applications 10
Countries citing papers authored by Wang Wei
This map shows the geographic impact of Wang Wei'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 Wang Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Wei more than expected).
Fields of papers citing papers by Wang Wei
This network shows the impact of papers produced by Wang Wei. 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 Wang Wei. The network helps show where Wang Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Wei, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 116 | |
| 2 | 2010 | 34 | |
| 3 | 2019 | 31 | |
| 4 | 2022 | 25 | |
| 5 | 2015 | 19 | |
| 6 | 2006 | 11 | |
| 7 | 2016 | 8 | |
| 8 | 2023 | 7 | |
| 9 | 2020 | 4 | |
| 10 | 2012 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2007 | 3 | |
| 15 | 2025 | 2 | |
| 16 | X-warehouse: building query pattern-driven data warehouse for XML data | 2005 | 2 |
| 17 | 2020 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | Trust based cooperative system formation and evolution | 2006 | 1 |
About Wang Wei
Wang Wei is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 32 papers that have together received 286 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Cloud Computing and Resource Management (7 papers), Advanced Database Systems and Queries (4 papers), Blockchain Technology Applications and Security (4 papers), Data Mining Algorithms and Applications (2 papers), Data Management and Algorithms (2 papers), Software-Defined Networks and 5G (2 papers) and Corporate Finance and Governance (2 papers). The work is most often cited by research in Signal Processing (99 citations), Computer Networks and Communications (181 citations), Information Systems (129 citations), Artificial Intelligence (78 citations) and Computer Science Applications (10 citations). Wang Wei has collaborated with scholars based in China, Australia and Hungary. Frequent co-authors include Jeffrey Xu Yu, Hongjun Lü, Jianlin Feng, Guosun Zeng, Daizhong Tang, Yongmin Zhang, Deng Li, Jiaqi Liu, Shaohua Wan and Hui Liu. Their work appears in journals such as IEEE Transactions on Mobile Computing, Expert Systems with Applications, KNOWLEDGE ORGANIZATION, Chinese Economy 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.