Jun Hao Liew
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Media Technology top 5%
- Industrial and Manufacturing Engineering top 5%
- Topics
- Advanced Neural Network Applications (8 papers)Domain Adaptation and Few-Shot Learning (4 papers)Advanced Image and Video Retrieval Techniques (3 papers)
In The Last Decade
Jun Hao Liew
11 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 799
- Artificial Intelligence 431
- Radiology, Nuclear Medicine and Imaging 137
- Media Technology 136
- Industrial and Manufacturing Engineering 84
Countries citing papers authored by Jun Hao Liew
This map shows the geographic impact of Jun Hao Liew'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 Jun Hao Liew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hao Liew more than expected).
Fields of papers citing papers by Jun Hao Liew
This network shows the impact of papers produced by Jun Hao Liew. 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 Jun Hao Liew. The network helps show where Jun Hao Liew may publish in the future.
Co-authorship network of co-authors of Jun Hao Liew
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Hao Liew. A scholar is included among the top collaborators of Jun Hao Liew 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 Jun Hao Liew. Jun Hao Liew 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 | DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editingbreakdown → | 43 |
| 3 | 26 | |
| 4 | 18 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 52 | |
| 8 | 37 | |
| 9 | 27 | |
| 10 | 76 | |
| 11 | 23 | |
| 12 | PANet: Few-Shot Image Semantic Segmentation With Prototype Alignmentbreakdown → | 820 |
About Jun Hao Liew
Jun Hao Liew is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (799 citations), Media Technology (136 citations) and Artificial Intelligence (431 citations). Jun Hao Liew has collaborated with scholars based in Singapore, China and Australia. Frequent co-authors include Jiashi Feng, Yingtian Zou, Daquan Zhou, Kaixin Wang, Yunchao Wei, Yao Zhao, Shikui Wei, Zichen Liu, Xiangyu Chen and Brian Price. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.
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.