Kuan-Hsien Liu
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Industrial and Manufacturing Engineering top 5%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Co-authors
- Tsung-Jung LiuHsin‐Hua LiuSoo‐Chang PeiC.‐C. Jay KuoShuicheng YanChu‐Song ChenJoe Yuchieh LinWeisi Lin
- Topics
- Generative Adversarial Networks and Image Synthesis (26 papers)Advanced Image Processing Techniques (24 papers)Face recognition and analysis (20 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Partner nations
- TaiwanUnited StatesSingapore
In The Last Decade
Kuan-Hsien Liu
71 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 964
- Media Technology 296
- Industrial and Manufacturing Engineering 128
- Electrical and Electronic Engineering 78
- Signal Processing 64
Countries citing papers authored by Kuan-Hsien Liu
This map shows the geographic impact of Kuan-Hsien Liu'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 Kuan-Hsien Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuan-Hsien Liu more than expected).
Fields of papers citing papers by Kuan-Hsien Liu
This network shows the impact of papers produced by Kuan-Hsien Liu. 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 Kuan-Hsien Liu. The network helps show where Kuan-Hsien Liu may publish in the future.
Co-authorship network of co-authors of Kuan-Hsien Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Kuan-Hsien Liu. A scholar is included among the top collaborators of Kuan-Hsien Liu 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 Kuan-Hsien Liu. Kuan-Hsien Liu 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 18 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 64 | |
| 11 | 119 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 14 | |
| 17 | 6 | |
| 18 | 25 | |
| 19 | 17 | |
| 20 | 13 |
About Kuan-Hsien Liu
Kuan-Hsien Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (26 papers), Advanced Image Processing Techniques (24 papers) and Face recognition and analysis (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (964 citations), Media Technology (296 citations) and Industrial and Manufacturing Engineering (128 citations). Kuan-Hsien Liu has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Tsung-Jung Liu, Hsin‐Hua Liu, Soo‐Chang Pei, C.‐C. Jay Kuo, Shuicheng Yan, Chu‐Song Chen, Joe Yuchieh Lin, Weisi Lin, Fei Wang and Kevin Lin. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Image Processing 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.