Bin Yan
Impact in
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Advanced Steganography and Watermarking Techniques 29
- Chaos-based Image/Signal Encryption 20
- Digital Media Forensic Detection 11
- Advanced Image and Video Retrieval Techniques 8
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- Quantum Computing Algorithms and Architecture 10
- Quantum Information and Cryptography 9
- Co-authors
- Jeng‐Shyang Pan (27 shared papers)Hong-Mei Yang (30 shared papers)Shu‐Chuan Chu (8 shared papers)Ajith Abraham (1 shared paper)Na Chen (2 shared papers)Yong Xiang (1 shared paper)Guang Hua (1 shared paper)Yong Yue (1 shared paper)
In The Last Decade
Bin Yan
49 papers receiving 459 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 314
- Signal Processing 60
- Information Systems 86
- Artificial Intelligence 110
- Acoustics and Ultrasonics 3
Countries citing papers authored by Bin Yan
This map shows the geographic impact of Bin Yan'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 Bin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Yan more than expected).
Fields of papers citing papers by Bin Yan
This network shows the impact of papers produced by Bin Yan. 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 Bin Yan. The network helps show where Bin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Yan, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 68 | |
| 2 | 2018 | 34 | |
| 3 | 2021 | 34 | |
| 4 | 2018 | 32 | |
| 5 | 2018 | 27 | |
| 6 | 2020 | 26 | |
| 7 | 2017 | 23 | |
| 8 | 2022 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2011 | 18 | |
| 11 | 2020 | 15 | |
| 12 | 2023 | 15 | |
| 13 | 2017 | 13 | |
| 14 | 2003 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2020 | 7 | |
| 19 | Power Spectrum Compliant QIM Watermarking for Autoregressive Host Signals. | 2015 | 6 |
| 20 | 2019 | 6 |
About Bin Yan
Bin Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 60 papers that have together received 484 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (29 papers), Chaos-based Image/Signal Encryption (20 papers), Digital Media Forensic Detection (11 papers), Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Quantum Mechanics and Applications (7 papers) and QR Code Applications and Technologies (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (314 citations), Signal Processing (60 citations), Information Systems (86 citations), Artificial Intelligence (110 citations) and Acoustics and Ultrasonics (3 citations). Bin Yan has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Jeng‐Shyang Pan, Hong-Mei Yang, Shu‐Chuan Chu, Ajith Abraham, Na Chen, Yong Xiang, Guang Hua, Yong Yue, Xiaohui Zhu and Tao Liu. Their work appears in journals such as Multimedia Tools and Applications, Applied Sciences, Quantum Information Processing, IEEE Access and Journal of Visual Communication and Image Representation.
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.