Fang-Wei Fu
Impact in
- Artificial Intelligence top 1%
- Coding theory and cryptography
- Quantum Computing Algorithms and Architecture
Papers in
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- Coding theory and cryptography 183
-
- Cooperative Communication and Network Coding 59
- Advanced Data Storage Technologies 31
- Error Correcting Code Techniques 29
- Co-authors
- Weijun Fang (24 shared papers)Jian Gao (40 shared papers)Shu‐Tao Xia (33 shared papers)A. J. Han Vinck (3 shared papers)Bin Chen (11 shared papers)Torleiv Kløve (9 shared papers)Victor K. Wei (10 shared papers)Raymond W. Yeung (5 shared papers)
In The Last Decade
Fang-Wei Fu
222 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 80
- Discrete Mathematics and Combinatorics 196
- Artificial Intelligence 1.6k
- Computational Theory and Mathematics 747
- Computer Networks and Communications 949
- Electrical and Electronic Engineering 1.1k
Countries citing papers authored by Fang-Wei Fu
This map shows the geographic impact of Fang-Wei Fu'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 Fang-Wei Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang-Wei Fu more than expected).
Fields of papers citing papers by Fang-Wei Fu
This network shows the impact of papers produced by Fang-Wei Fu. 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 Fang-Wei Fu. The network helps show where Fang-Wei Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fang-Wei Fu, 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 252 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 89 | |
| 2 | 1999 | 78 | |
| 3 | 2017 | 74 | |
| 4 | 2003 | 59 | |
| 5 | 2016 | 45 | |
| 6 | 2019 | 43 | |
| 7 | 2018 | 43 | |
| 8 | 2018 | 42 | |
| 9 | 2019 | 41 | |
| 10 | 2018 | 41 | |
| 11 | 2002 | 41 | |
| 12 | 1998 | 40 | |
| 13 | 2019 | 39 | |
| 14 | 2020 | 39 | |
| 15 | 2015 | 38 | |
| 16 | 2020 | 38 | |
| 17 | 2002 | 36 | |
| 18 | 2019 | 36 | |
| 19 | 2016 | 34 | |
| 20 | 2004 | 33 |
About Fang-Wei Fu
Fang-Wei Fu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Electrical and Electronic Engineering, having authored 252 papers that have together received 2.2k indexed citations. Recurring topics across this work include Coding theory and cryptography (183 papers), graph theory and CDMA systems (114 papers), Cooperative Communication and Network Coding (59 papers), Cellular Automata and Applications (41 papers), Advanced Data Storage Technologies (31 papers), Finite Group Theory Research (30 papers), Error Correcting Code Techniques (29 papers) and Advanced Wireless Communication Techniques (26 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (196 citations), Artificial Intelligence (1.6k citations), Computational Theory and Mathematics (747 citations), Computer Networks and Communications (949 citations) and Electrical and Electronic Engineering (1.1k citations). Fang-Wei Fu has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Weijun Fang, Jian Gao, Shu‐Tao Xia, A. J. Han Vinck, Bin Chen, Torleiv Kløve, Victor K. Wei, Raymond W. Yeung, Jie Hao and Shiyi Shen. Their work appears in journals such as IEEE Transactions on Information Theory, Designs Codes and Cryptography, Cryptography and Communications, Finite Fields and Their Applications and Discrete Mathematics.
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.