Hang Chen
Impact in
- Acoustics and Ultrasonics top 10%
-
- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
Papers in
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- Chaos-based Image/Signal Encryption 12
- Advanced Steganography and Watermarking Techniques 6
- Face recognition and analysis 3
-
- Mathematical Dynamics and Fractals 4
- Co-authors
- Zhengjun Liu (11 shared papers)Walter Blondel (9 shared papers)Camel Tanougast (8 shared papers)Xiaoping Du (2 shared papers)Yi Wang (1 shared paper)Munindar P. Singh (1 shared paper)Zhu Li (1 shared paper)Shutian Liu (2 shared papers)
In The Last Decade
Hang Chen
17 papers receiving 328 citations
Peers
Comparison fields: 5 of 44
- Acoustics and Ultrasonics 13
- Computer Vision and Pattern Recognition 280
- Mathematical Physics 41
- Media Technology 29
- Artificial Intelligence 99
Countries citing papers authored by Hang Chen
This map shows the geographic impact of Hang Chen'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 Hang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Chen more than expected).
Fields of papers citing papers by Hang Chen
This network shows the impact of papers produced by Hang Chen. 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 Hang Chen. The network helps show where Hang Chen may publish in the future.
Co-authors
The 21 scholars most cited alongside Hang Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 72 | |
| 2 | 2018 | 61 | |
| 3 | 2018 | 47 | |
| 4 | 2011 | 39 | |
| 5 | 2017 | 37 | |
| 6 | 2015 | 19 | |
| 7 | 2022 | 17 | |
| 8 | 2020 | 14 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2018 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Hang Chen
Hang Chen is a scholar working on Computer Vision and Pattern Recognition, Mathematical Physics, Artificial Intelligence, Molecular Biology and Applied Mathematics, having authored 19 papers that have together received 343 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (12 papers), Advanced Steganography and Watermarking Techniques (6 papers), Mathematical Dynamics and Fractals (4 papers), Fractal and DNA sequence analysis (3 papers), Face recognition and analysis (3 papers), Mathematical Analysis and Transform Methods (3 papers), Cellular Automata and Applications (2 papers) and Saffron Plant Research Studies (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (13 citations), Computer Vision and Pattern Recognition (280 citations), Mathematical Physics (41 citations), Media Technology (29 citations) and Artificial Intelligence (99 citations). Hang Chen has collaborated with scholars based in China, France and Japan. Frequent co-authors include Zhengjun Liu, Walter Blondel, Camel Tanougast, Xiaoping Du, Yi Wang, Munindar P. Singh, Zhu Li, Shutian Liu, Yu Ji and Feifei Liu. Their work appears in journals such as Optics and Lasers in Engineering, Scientific Reports, Optics & Laser Technology, Alexandria Engineering Journal and Applied Sciences.
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.