Juan Lin
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering
- Co-authors
- Yiwen ZhongHui ZhangLijin WangChin‐Chen ChangRenzo ShameyChia‐Chen LinMin LinShaowei Weng
- Topics
- Metaheuristic Optimization Algorithms Research (12 papers)Color Science and Applications (7 papers)Advanced Steganography and Watermarking Techniques (7 papers)
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceComputational Theory and Mathematics
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Juan Lin
38 papers receiving 431 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 201
- Industrial and Manufacturing Engineering 157
- Computer Vision and Pattern Recognition 109
- Computational Theory and Mathematics 88
- Control and Systems Engineering 34
Countries citing papers authored by Juan Lin
This map shows the geographic impact of Juan Lin'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 Juan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Lin more than expected).
Fields of papers citing papers by Juan Lin
This network shows the impact of papers produced by Juan Lin. 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 Juan Lin. The network helps show where Juan Lin may publish in the future.
Co-authorship network of co-authors of Juan Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Lin. A scholar is included among the top collaborators of Juan Lin 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 Juan Lin. Juan Lin 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 | 16 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution. | 17 |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 99 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 14 |
About Juan Lin
Juan Lin is a scholar working on Computer Graphics and Computer-Aided Design, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 449 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (12 papers), Color Science and Applications (7 papers) and Advanced Steganography and Watermarking Techniques (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (157 citations), Artificial Intelligence (201 citations) and Computational Theory and Mathematics (88 citations). Juan Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yiwen Zhong, Hui Zhang, Lijin Wang, Chin‐Chen Chang, Renzo Shamey, Chia‐Chen Lin, Min Lin, Shaowei Weng, Jinjin Gu and Hui Yang. Their work appears in journals such as IEEE Access, Pattern Recognition and Information Sciences.
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.