Chong Fu
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Advanced Neural Network Applications
- Artificial Intelligence top 2%
- AI in cancer detection
- Cryptographic Implementations and Security
Papers in
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- Chaos-based Image/Signal Encryption 50
- Advanced Steganography and Watermarking Techniques 35
- Advanced Neural Network Applications 21
- Advanced Image and Video Retrieval Techniques 11
-
- Mathematical Dynamics and Fractals 25
- Co-authors
- Junxin Chen (34 shared papers)Wei Song (17 shared papers)Chiu‐Wing Sham (35 shared papers)Zhiliang Zhu (6 shared papers)Ming Tie (14 shared papers)Lin Cao (26 shared papers)Zhou Ming-tian (3 shared papers)Yu Zheng (4 shared papers)
- Journals
- Sensors (8 papers)Computers in Biology and Medicine (7 papers)Neural Computing and Applications (5 papers)IEEE Sensors Journal (5 papers)Expert Systems with Applications (3 papers)
- Partner nations
- ChinaNew ZealandUnited States
In The Last Decade
Chong Fu
140 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 675
- Mathematical Physics 177
- Computational Theory and Mathematics 240
- Statistical and Nonlinear Physics 137
Countries citing papers authored by Chong Fu
This map shows the geographic impact of Chong 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 Chong Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Fu more than expected).
Fields of papers citing papers by Chong Fu
This network shows the impact of papers produced by Chong 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 Chong Fu. The network helps show where Chong Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chong 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 153 | |
| 2 | 2010 | 148 | |
| 3 | 2015 | 107 | |
| 4 | 2022 | 107 | |
| 5 | 2022 | 89 | |
| 6 | 2014 | 78 | |
| 7 | 2020 | 69 | |
| 8 | 2018 | 58 | |
| 9 | 2022 | 53 | |
| 10 | 2014 | 47 | |
| 11 | 2011 | 47 | |
| 12 | 2020 | 42 | |
| 13 | 2023 | 39 | |
| 14 | 2023 | 36 | |
| 15 | 2022 | 36 | |
| 16 | 2024 | 36 | |
| 17 | 2022 | 34 | |
| 18 | 2022 | 34 | |
| 19 | 2022 | 32 | |
| 20 | 2021 | 25 |
About Chong Fu
Chong Fu is a scholar working on Computer Vision and Pattern Recognition, Mathematical Physics, Artificial Intelligence, Signal Processing and Statistical and Nonlinear Physics, having authored 152 papers that have together received 2.1k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (50 papers), Advanced Steganography and Watermarking Techniques (35 papers), Mathematical Dynamics and Fractals (25 papers), Advanced Neural Network Applications (21 papers), AI in cancer detection (14 papers), Chaos control and synchronization (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Cellular Automata and Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (675 citations), Mathematical Physics (177 citations), Computational Theory and Mathematics (240 citations) and Statistical and Nonlinear Physics (137 citations). Chong Fu has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Junxin Chen, Wei Song, Chiu‐Wing Sham, Zhiliang Zhu, Ming Tie, Lin Cao, Zhou Ming-tian, Yu Zheng, Libo Zhang and Luping Ji. Their work appears in journals such as Sensors, Computers in Biology and Medicine, Neural Computing and Applications, IEEE Sensors Journal and Expert Systems with Applications.
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.