Lvchen Cao
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Topics
- Chaos-based Image/Signal Encryption (26 papers)Advanced Steganography and Watermarking Techniques (14 papers)Retinal Imaging and Analysis (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionStatistical and Nonlinear PhysicsComputational Theory and Mathematics
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lvchen Cao
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 960
- Artificial Intelligence 238
- Computational Theory and Mathematics 173
- Statistical and Nonlinear Physics 163
- Radiology, Nuclear Medicine and Imaging 140
Countries citing papers authored by Lvchen Cao
This map shows the geographic impact of Lvchen Cao'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 Lvchen Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lvchen Cao more than expected).
Fields of papers citing papers by Lvchen Cao
This network shows the impact of papers produced by Lvchen Cao. 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 Lvchen Cao. The network helps show where Lvchen Cao may publish in the future.
Co-authorship network of co-authors of Lvchen Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Lvchen Cao. A scholar is included among the top collaborators of Lvchen Cao 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 Lvchen Cao. Lvchen Cao 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 | 0 | |
| 3 | 3 | |
| 4 | 20 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 19 | |
| 11 | 29 | |
| 12 | 20 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 63 | |
| 16 | 92 | |
| 17 | 31 | |
| 18 | 117 | |
| 19 | 6 | |
| 20 | 69 |
About Lvchen Cao
Lvchen Cao is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Statistical and Nonlinear Physics, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (26 papers), Advanced Steganography and Watermarking Techniques (14 papers) and Retinal Imaging and Analysis (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (960 citations), Statistical and Nonlinear Physics (163 citations) and Computational Theory and Mathematics (173 citations). Lvchen Cao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Junxiu Liu, Yuling Luo, Senhui Qiu, Huiqi Li, Duqu Wei, Jim Harkin, Yunqi Liu, Yi Cao, Su Yang and Jiadong Huang. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.