Chunlin Song
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems
- Co-authors
- Sud SudirmanMadjid MerabtiDavid Llewellyn‐JonesQi LiuRui FengFuqiang LiuXi ChenHaogang Zhu
- Topics
- Advanced Steganography and Watermarking Techniques (11 papers)Chaos-based Image/Signal Encryption (8 papers)Digital Media Forensic Detection (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessCeramics International
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Chunlin Song
22 papers receiving 283 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 174
- Electrical and Electronic Engineering 77
- Artificial Intelligence 57
- Computer Networks and Communications 31
- Information Systems 17
Countries citing papers authored by Chunlin Song
This map shows the geographic impact of Chunlin Song'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 Chunlin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunlin Song more than expected).
Fields of papers citing papers by Chunlin Song
This network shows the impact of papers produced by Chunlin Song. 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 Chunlin Song. The network helps show where Chunlin Song may publish in the future.
Co-authorship network of co-authors of Chunlin Song
This figure shows the co-authorship network connecting the top 25 collaborators of Chunlin Song. A scholar is included among the top collaborators of Chunlin Song 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 Chunlin Song. Chunlin Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 70 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | Segmentation Filling Algorithm for Super Resolution Image | 0 |
| 16 | 3 | |
| 17 | 50 | |
| 18 | Recent Advances and Classification of Watermarking Techniques in Digital Images | 22 |
| 19 | Hybrid Fractal-wavelet Image Compression Algorithm with Variable Steps and Thresholds | 1 |
| 20 | 7 |
About Chunlin Song
Chunlin Song is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Mathematical Physics, having authored 25 papers that have together received 305 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (11 papers), Chaos-based Image/Signal Encryption (8 papers) and Digital Media Forensic Detection (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (174 citations), Artificial Intelligence (57 citations) and Computer Graphics and Computer-Aided Design (5 citations). Chunlin Song has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Sud Sudirman, Madjid Merabti, David Llewellyn‐Jones, Qi Liu, Rui Feng, Fuqiang Liu, Xi Chen, Haogang Zhu, Yan Yan and Qin Li. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Ceramics International.
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.