Xiaochen Yuan
Impact in
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- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Advanced Image and Video Retrieval Techniques
- Media Technology top 1%
- Image Processing Techniques and Applications
Papers in
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- Advanced Steganography and Watermarking Techniques 49
- Digital Media Forensic Detection 43
- Chaos-based Image/Signal Encryption 24
- Advanced Image and Video Retrieval Techniques 17
- Advanced Neural Network Applications 13
- Co-authors
- Chi‐Man Pun (51 shared papers)Xiuli Bi (5 shared papers)Mianjie Li (12 shared papers)Jianqing Li (12 shared papers)Guoheng Huang (52 shared papers)Chen Hai (3 shared papers)Bo Liu (2 shared papers)Chan–Tong Lam (27 shared papers)
In The Last Decade
Xiaochen Yuan
134 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 1.0k
- Media Technology 365
- Biophysics 150
- Signal Processing 174
- Issues, ethics and legal aspects 9
Countries citing papers authored by Xiaochen Yuan
This map shows the geographic impact of Xiaochen Yuan'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 Xiaochen Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochen Yuan more than expected).
Fields of papers citing papers by Xiaochen Yuan
This network shows the impact of papers produced by Xiaochen Yuan. 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 Xiaochen Yuan. The network helps show where Xiaochen Yuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaochen Yuan, 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 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 233 | |
| 2 | 2019 | 98 | |
| 3 | 2016 | 69 | |
| 4 | 2016 | 65 | |
| 5 | 2015 | 60 | |
| 6 | 2016 | 50 | |
| 7 | 2013 | 43 | |
| 8 | 2020 | 34 | |
| 9 | 2022 | 34 | |
| 10 | 2021 | 34 | |
| 11 | 2018 | 33 | |
| 12 | 2014 | 32 | |
| 13 | 2022 | 30 | |
| 14 | 2013 | 29 | |
| 15 | 2014 | 28 | |
| 16 | 2013 | 26 | |
| 17 | 2017 | 21 | |
| 18 | 2016 | 20 | |
| 19 | 2024 | 18 | |
| 20 | 2016 | 18 |
About Xiaochen Yuan
Xiaochen Yuan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 150 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (49 papers), Digital Media Forensic Detection (43 papers), Chaos-based Image/Signal Encryption (24 papers), Advanced Image and Video Retrieval Techniques (17 papers), Image Processing Techniques and Applications (13 papers), Advanced Neural Network Applications (13 papers), Remote-Sensing Image Classification (11 papers) and Music and Audio Processing (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (365 citations), Biophysics (150 citations), Signal Processing (174 citations) and Issues, ethics and legal aspects (9 citations). Xiaochen Yuan has collaborated with scholars based in Macao, China and Hong Kong. Frequent co-authors include Chi‐Man Pun, Xiuli Bi, Mianjie Li, Jianqing Li, Guoheng Huang, Chen Hai, Bo Liu, Chan–Tong Lam, Z. Y. Pei and C. L. Philip Chen. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Instrumentation and Measurement and Journal of King Saud University - Computer and Information 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.