Chung-Ping Wu
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Advanced Data Compression Techniques
- Signal Processing top 5%
- Video Coding and Compression Technologies
Papers in
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- Advanced Steganography and Watermarking Techniques 7
- Chaos-based Image/Signal Encryption 7
- Digital Media Forensic Detection 5
- Advanced Data Compression Techniques 4
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- Biometric Identification and Security 1
- Speech and Audio Processing 1
- Co-authors
- C.‐C. Jay Kuo (9 shared papers)Po-Chyi Su (1 shared paper)Yu‐Kang Tu (1 shared paper)Sy‐Yen Kuo (1 shared paper)
- Journals
- IEEE Transactions on Multimedia (1 paper)Journal of Dental Sciences (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (4 papers)IEEE International Conference on Acoustics Speech and Signal Processing (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Chung-Ping Wu
11 papers receiving 517 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 519
- Signal Processing 130
- Artificial Intelligence 183
- Mathematical Physics 25
- Periodontics 9
Countries citing papers authored by Chung-Ping Wu
This map shows the geographic impact of Chung-Ping Wu'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 Chung-Ping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung-Ping Wu more than expected).
Fields of papers citing papers by Chung-Ping Wu
This network shows the impact of papers produced by Chung-Ping Wu. 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 Chung-Ping Wu. The network helps show where Chung-Ping Wu may publish in the future.
Co-authors
The 4 scholars most cited alongside Chung-Ping Wu, 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 | 2005 | 278 | |
| 2 | 2001 | 95 | |
| 3 | 2001 | 75 | |
| 4 | 2002 | 29 | |
| 5 | 1999 | 24 | |
| 6 | 2018 | 16 | |
| 7 | 2002 | 16 | |
| 8 | 2003 | 15 | |
| 9 | 2001 | 13 | |
| 10 | 2002 | 11 | |
| 11 | 2002 | 1 |
About Chung-Ping Wu
Chung-Ping Wu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 11 papers that have together received 573 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (7 papers), Chaos-based Image/Signal Encryption (7 papers), Digital Media Forensic Detection (5 papers), Advanced Data Compression Techniques (4 papers), Algorithms and Data Compression (3 papers), Internet Traffic Analysis and Secure E-voting (1 paper), Biometric Identification and Security (1 paper) and Speech and Audio Processing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (519 citations), Signal Processing (130 citations), Artificial Intelligence (183 citations), Mathematical Physics (25 citations) and Periodontics (9 citations). Chung-Ping Wu has collaborated with scholars based in United States and Taiwan. Frequent co-authors include C.‐C. Jay Kuo, Po-Chyi Su, Yu‐Kang Tu and Sy‐Yen Kuo. Their work appears in journals such as IEEE Transactions on Multimedia, Journal of Dental Sciences, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and IEEE International Conference on Acoustics Speech and Signal Processing.
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.