Gaofei Wu
Impact in
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- Finite Group Theory Research
- Artificial Intelligence top 10%
- Coding theory and cryptography
- Privacy-Preserving Technologies in Data
Papers in
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- Coding theory and cryptography 12
- Privacy-Preserving Technologies in Data 4
- Cryptographic Implementations and Security 4
- Cryptography and Data Security 3
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- graph theory and CDMA systems 8
- PAPR reduction in OFDM 5
- Co-authors
- Yuqing Zhang (12 shared papers)Bin Xiao (2 shared papers)Yuan Yao (2 shared papers)Xingshe Zhou (2 shared papers)Zhiwen Yu (2 shared papers)Kailong Zhang (2 shared papers)Nian Li (5 shared papers)Tor Helleseth (3 shared papers)
In The Last Decade
Gaofei Wu
21 papers receiving 245 citations
Peers
Comparison fields: 5 of 36
- Discrete Mathematics and Combinatorics 29
- Artificial Intelligence 146
- Computer Networks and Communications 101
- Electrical and Electronic Engineering 180
- Signal Processing 24
Countries citing papers authored by Gaofei Wu
This map shows the geographic impact of Gaofei 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 Gaofei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaofei Wu more than expected).
Fields of papers citing papers by Gaofei Wu
This network shows the impact of papers produced by Gaofei 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 Gaofei Wu. The network helps show where Gaofei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Gaofei 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | 2017 | 37 | |
| 3 | 2014 | 27 | |
| 4 | 2016 | 25 | |
| 5 | 2015 | 21 | |
| 6 | 2014 | 12 | |
| 7 | 2018 | 9 | |
| 8 | 2020 | 8 | |
| 9 | 2018 | 7 | |
| 10 | 2018 | 6 | |
| 11 | 2013 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2016 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 1 |
About Gaofei Wu
Gaofei Wu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 257 indexed citations. Recurring topics across this work include Coding theory and cryptography (12 papers), graph theory and CDMA systems (8 papers), PAPR reduction in OFDM (5 papers), Cellular Automata and Applications (5 papers), Privacy-Preserving Technologies in Data (4 papers), Cryptographic Implementations and Security (4 papers), Cryptography and Data Security (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (29 citations), Artificial Intelligence (146 citations), Computer Networks and Communications (101 citations), Electrical and Electronic Engineering (180 citations) and Signal Processing (24 citations). Gaofei Wu has collaborated with scholars based in China, Norway and Canada. Frequent co-authors include Yuqing Zhang, Bin Xiao, Yuan Yao, Xingshe Zhou, Zhiwen Yu, Kailong Zhang, Nian Li, Tor Helleseth, Matthew G. Parker and Zilong Wang. Their work appears in journals such as Finite Fields and Their Applications, Cryptography and Communications, IEEE Transactions on Information Theory, Science China Information Sciences and IEEE Transactions on Mobile Computing.
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.