Chien-Chang Chen
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Management Information Systems top 5%
- Molecular Biology
- Co-authors
- Tung‐I TsaiSamuel C. YangChuck C.H. LawRichard C. DubesAnil K. JainHsueh‐Ting ChuChih‐Chien WangFang‐Pang Lin
- Topics
- Advanced Steganography and Watermarking Techniques (26 papers)Chaos-based Image/Signal Encryption (22 papers)Digital Media Forensic Detection (17 papers)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Chien-Chang Chen
84 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 149
- Computer Vision and Pattern Recognition 955
- Artificial Intelligence 389
- Media Technology 182
- Management Information Systems 153
- Molecular Biology 120
Countries citing papers authored by Chien-Chang Chen
This map shows the geographic impact of Chien-Chang Chen'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 Chien-Chang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien-Chang Chen more than expected).
Fields of papers citing papers by Chien-Chang Chen
This network shows the impact of papers produced by Chien-Chang Chen. 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 Chien-Chang Chen. The network helps show where Chien-Chang Chen may publish in the future.
Co-authorship network of co-authors of Chien-Chang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Chien-Chang Chen. A scholar is included among the top collaborators of Chien-Chang Chen 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 Chien-Chang Chen. Chien-Chang Chen 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 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | Block Sampled Matching with Region Growing for Detecting Copy-Move Forgery Duplicated Regions. | 5 |
| 7 | An Expandable Essential Secret Image Sharing Structure. | 13 |
| 8 | 3 | |
| 9 | 22 | |
| 10 | Reversible Data Hiding Based on Median Difference Histogram | 3 |
| 11 | 23 | |
| 12 | Reversible data hiding based on grayscale value histogram with optimal multiple pairs of crests and troughs | 1 |
| 13 | A Geometry-Based Secret Image Sharing Approach | 29 |
| 14 | 5 | |
| 15 | A GA-BASED NEARLY OPTIMAL IMAGE AUTHENTICATION APPROACH | 9 |
| 16 | Toward a robust image authentication method surviving JPEG lossy compression | 2 |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 35 | |
| 20 | 143 |
About Chien-Chang Chen
Chien-Chang Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 89 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (26 papers), Chaos-based Image/Signal Encryption (22 papers) and Digital Media Forensic Detection (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (955 citations), Media Technology (182 citations) and Management Information Systems (153 citations). Chien-Chang Chen has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Tung‐I Tsai, Samuel C. Yang, Chuck C.H. Law, Richard C. Dubes, Anil K. Jain, Hsueh‐Ting Chu, Chih‐Chien Wang, Fang‐Pang Lin, Chung-Lin Huang and Shih-Chang Chen. Their work appears in journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.