Nan-I Wu
Impact in
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
- Advanced Data Compression Techniques
- Advanced Image and Video Retrieval Techniques
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- Biometric Identification and Security
Papers in
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- Advanced Steganography and Watermarking Techniques 10
- Chaos-based Image/Signal Encryption 9
- Digital Media Forensic Detection 8
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- Educational Research and Pedagogy 1
- Security in Wireless Sensor Networks 1
- Energy Efficient Wireless Sensor Networks 1
- Co-authors
- Min‐Shiang Hwang (11 shared papers)Chung-Ming Wang (4 shared papers)Chwei‐Shyong Tsai (3 shared papers)Kuo-Chen Wu (1 shared paper)Der‐Chyuan Lou (1 shared paper)Shu‐Fen Chiou (1 shared paper)Iuon‐Chang Lin (1 shared paper)Cheng‐Ying Yang (1 shared paper)
In The Last Decade
Nan-I Wu
11 papers receiving 437 citations
Peers
Comparison fields: 5 of 17
- Computer Vision and Pattern Recognition 500
- Signal Processing 20
- Media Technology 12
- Computational Theory and Mathematics 12
- Artificial Intelligence 19
Countries citing papers authored by Nan-I Wu
This map shows the geographic impact of Nan-I 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 Nan-I Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan-I Wu more than expected).
Fields of papers citing papers by Nan-I Wu
This network shows the impact of papers produced by Nan-I 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 Nan-I Wu. The network helps show where Nan-I Wu may publish in the future.
Co-authors
The 8 scholars most cited alongside Nan-I 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 | 2007 | 262 | |
| 2 | Data Hiding: Current Status and Key Issues | 2007 | 104 |
| 3 | 2011 | 32 | |
| 4 | 2010 | 32 | |
| 5 | (Journal of Systems and Software, 81(1):150-158)A high quality steganographic method with pixel-value differencing and modulus function | 2008 | 31 |
| 6 | 2017 | 27 | |
| 7 | 2017 | 11 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Nan-I Wu
Nan-I Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Health Information Management and Control and Systems Engineering, having authored 13 papers that have together received 510 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (10 papers), Chaos-based Image/Signal Encryption (9 papers), Digital Media Forensic Detection (8 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Quantum-Dot Cellular Automata (1 paper), Educational Research and Pedagogy (1 paper), Security in Wireless Sensor Networks (1 paper) and Energy Efficient Wireless Sensor Networks (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (500 citations), Signal Processing (20 citations), Media Technology (12 citations), Computational Theory and Mathematics (12 citations) and Artificial Intelligence (19 citations). Nan-I Wu has collaborated with scholars based in Taiwan, Indonesia and China. Frequent co-authors include Min‐Shiang Hwang, Chung-Ming Wang, Chwei‐Shyong Tsai, Kuo-Chen Wu, Der‐Chyuan Lou, Shu‐Fen Chiou, Iuon‐Chang Lin and Cheng‐Ying Yang. Their work appears in journals such as Journal of Systems and Software, Applied Sciences, Displays, Electronics and Applied Soft Computing.
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.