Chunlin Song
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- Advanced Steganography and Watermarking Techniques 11
- Chaos-based Image/Signal Encryption 8
- Digital Media Forensic Detection 5
- Advanced Data Compression Techniques 3
- Advanced Neural Network Applications 2
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- Internet Traffic Analysis and Secure E-voting 2
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- Age of Information Optimization 2
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- Ferroelectric and Piezoelectric Materials 2
- Co-authors
- Sud SudirmanMadjid MerabtiDavid Llewellyn‐JonesQi LiuRui FengFuqiang LiuXi ChenHaogang Zhu
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Access (1 paper)Ceramics International (1 paper)
- 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
- Artificial Intelligence 57
- Computer Graphics and Computer-Aided Design 5
- Media Technology 12
- Computer Networks and Communications 31
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
The 25 scholars most cited alongside Chunlin Song, 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 | 2025 | 2 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 70 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 4 | |
| 10 | 2019 | 2 | |
| 11 | 2017 | 0 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 0 | |
| 14 | 2016 | 5 | |
| 15 | Segmentation Filling Algorithm for Super Resolution Image | 2011 | 0 |
| 16 | 2011 | 3 | |
| 17 | 2010 | 50 | |
| 18 | Recent Advances and Classification of Watermarking Techniques in Digital Images | 2009 | 22 |
| 19 | Hybrid Fractal-wavelet Image Compression Algorithm with Variable Steps and Thresholds | 2007 | 1 |
| 20 | 2007 | 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), Digital Media Forensic Detection (5 papers), Advanced Data Compression Techniques (3 papers), Ferroelectric and Piezoelectric Materials (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Age of Information Optimization (2 papers) and Advanced Neural Network Applications (2 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.