Yu-Lun Liu
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Aerospace Engineering
- Oncology
- Co-authors
- Yung‐Yu ChuangYen‐Yu LinJia‐Bin HuangMing OuhyoungChih‐Hsing ChuChang-Il KimAndréas MeulemanJohannes Kopf
- Topics
- Advanced Vision and Imaging (16 papers)Image Enhancement Techniques (7 papers)Advanced Image Processing Techniques (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsClinical Cancer Research
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yu-Lun Liu
22 papers receiving 517 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 425
- Media Technology 74
- Computer Graphics and Computer-Aided Design 66
- Aerospace Engineering 37
- Oncology 36
Countries citing papers authored by Yu-Lun Liu
This map shows the geographic impact of Yu-Lun 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 Yu-Lun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Lun Liu more than expected).
Fields of papers citing papers by Yu-Lun Liu
This network shows the impact of papers produced by Yu-Lun 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 Yu-Lun Liu. The network helps show where Yu-Lun Liu may publish in the future.
Co-authorship network of co-authors of Yu-Lun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Lun Liu. A scholar is included among the top collaborators of Yu-Lun 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 Yu-Lun Liu. Yu-Lun 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 48 | |
| 12 | 37 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | 20 | |
| 16 | 6 | |
| 17 | 89 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 57 |
About Yu-Lun Liu
Yu-Lun Liu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 28 papers that have together received 543 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (16 papers), Image Enhancement Techniques (7 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (425 citations), Computer Graphics and Computer-Aided Design (66 citations) and Media Technology (74 citations). Yu-Lun Liu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yung‐Yu Chuang, Yen‐Yu Lin, Jia‐Bin Huang, Ming Ouhyoung, Chih‐Hsing Chu, Chang-Il Kim, Andréas Meuleman, Johannes Kopf, Chen Gao and Ming–Hsuan Yang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Clinical Cancer Research.
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.