Daoshun Wang
Impact in
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
- Advanced Image and Video Retrieval Techniques
- Advanced Data Compression Techniques
Papers in
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- Advanced Steganography and Watermarking Techniques 37
- Chaos-based Image/Signal Encryption 32
- Digital Media Forensic Detection 14
- Image and Video Stabilization 5
- Advanced Image and Video Retrieval Techniques 5
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- Cryptography and Data Security 10
- Co-authors
- Xiaobo Li (5 shared papers)Ching‐Nung Yang (6 shared papers)Lei Zhang (2 shared papers)Ning Ma (1 shared paper)Xiangyang Luo (5 shared papers)Ping Wang (1 shared paper)Dong Lin (4 shared papers)Min Ku (4 shared papers)
In The Last Decade
Daoshun Wang
49 papers receiving 846 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 815
- Computer Graphics and Computer-Aided Design 29
- Artificial Intelligence 231
- Signal Processing 41
- Applied Mathematics 38
Countries citing papers authored by Daoshun Wang
This map shows the geographic impact of Daoshun Wang'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 Daoshun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoshun Wang more than expected).
Fields of papers citing papers by Daoshun Wang
This network shows the impact of papers produced by Daoshun Wang. 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 Daoshun Wang. The network helps show where Daoshun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daoshun Wang, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 191 | |
| 2 | 2008 | 129 | |
| 3 | 2013 | 74 | |
| 4 | 2009 | 67 | |
| 5 | 2014 | 64 | |
| 6 | 2018 | 51 | |
| 7 | 2011 | 48 | |
| 8 | 2013 | 48 | |
| 9 | 2016 | 43 | |
| 10 | 2010 | 16 | |
| 11 | 2010 | 16 | |
| 12 | 2010 | 15 | |
| 13 | 2011 | 14 | |
| 14 | 2016 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2006 | 10 | |
| 18 | 2003 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2019 | 7 |
About Daoshun Wang
Daoshun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Fluid Flow and Transfer Processes and Media Technology, having authored 52 papers that have together received 931 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (37 papers), Chaos-based Image/Signal Encryption (32 papers), Digital Media Forensic Detection (14 papers), Cryptography and Data Security (10 papers), Image and Video Stabilization (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Combustion Engine Technologies (4 papers) and Algebraic and Geometric Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (815 citations), Computer Graphics and Computer-Aided Design (29 citations), Artificial Intelligence (231 citations), Signal Processing (41 citations) and Applied Mathematics (38 citations). Daoshun Wang has collaborated with scholars based in China, Taiwan and Canada. Frequent co-authors include Xiaobo Li, Ching‐Nung Yang, Lei Zhang, Ning Ma, Xiangyang Luo, Ping Wang, Dong Lin, Min Ku, Tao Song and Chaoyang Zhang. Their work appears in journals such as Information Sciences, Progress in Natural Science Materials International, International Journal of Hydrogen Energy, Multimedia Tools and Applications and Journal of Energy Storage.
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.