Yung‐Kuan Chan
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Media Technology top 1%
- Biophysics top 2%
- Signal Processing top 5%
- Co-authors
- Chuen‐Horng LinRong‐Tai ChenYen‐Ping ChuDer‐Chen HuangChin‐Chen ChangShyr-Shen YuMeng-Hsiun TsaiMing-Yuan Hsieh
- Topics
- Advanced Steganography and Watermarking Techniques (29 papers)Chaos-based Image/Signal Encryption (28 papers)Image Retrieval and Classification Techniques (22 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaJournal of Applied Physics
- Partner nations
- TaiwanUnited StatesRussia
In The Last Decade
Yung‐Kuan Chan
118 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 148
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 530
- Media Technology 264
- Biophysics 142
- Signal Processing 103
Countries citing papers authored by Yung‐Kuan Chan
This map shows the geographic impact of Yung‐Kuan Chan'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 Yung‐Kuan Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung‐Kuan Chan more than expected).
Fields of papers citing papers by Yung‐Kuan Chan
This network shows the impact of papers produced by Yung‐Kuan Chan. 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 Yung‐Kuan Chan. The network helps show where Yung‐Kuan Chan may publish in the future.
Co-authorship network of co-authors of Yung‐Kuan Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Kuan Chan. A scholar is included among the top collaborators of Yung‐Kuan Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yung‐Kuan Chan. Yung‐Kuan Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 24 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 12 | |
| 10 | 19 | |
| 11 | 20 | |
| 12 | An Image Compression Method Based on Block Truncation Coding and Linear Regression. | 1 |
| 13 | Efficient and Meaningful Multi-secret Image Sharing Based on Block Imitation. | 2 |
| 14 | 1 | |
| 15 | Watermarking Marbled Image Based on Linear Enhancement Hologram. | 2 |
| 16 | 9 | |
| 17 | Steganography and Watermarking | 4 |
| 18 | Public-Key Inter-Block Dependence Fragile Watermarking for Image Authentication Using Continued Fraction. | 3 |
| 19 | An Improvement to Image Segment Based on Human Visual System for Object-based Coding | 6 |
| 20 | An Efficient Data Structure for Storing Similar Binary Images. | 2 |
About Yung‐Kuan Chan
Yung‐Kuan Chan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 128 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (29 papers), Chaos-based Image/Signal Encryption (28 papers) and Image Retrieval and Classification Techniques (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Media Technology (264 citations) and Biophysics (142 citations). Yung‐Kuan Chan has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Chuen‐Horng Lin, Rong‐Tai Chen, Yen‐Ping Chu, Der‐Chen Huang, Chin‐Chen Chang, Shyr-Shen Yu, Meng-Hsiun Tsai, Ming-Yuan Hsieh, Chuin-Mu Wang and Yung-Fu Chen. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of Applied Physics.
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.