Alan Wee‐Chung Liew
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Molecular Biology top 10%
- Signal Processing top 1%
- Media Technology top 0.5%
- Co-authors
- Hong YanS.H. LeungNgai-Fong LawShilin WangW.H. LauTien Thanh NguyenMengsu YangGhazaleh Taherzadeh
- Topics
- Gene expression and cancer classification (27 papers)Speech and Audio Processing (24 papers)Medical Image Segmentation Techniques (23 papers)
In The Last Decade
Alan Wee‐Chung Liew
211 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 186
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 1.1k
- Molecular Biology 1.0k
- Signal Processing 528
- Media Technology 451
Countries citing papers authored by Alan Wee‐Chung Liew
This map shows the geographic impact of Alan Wee‐Chung 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 Alan Wee‐Chung Liew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Wee‐Chung Liew more than expected).
Fields of papers citing papers by Alan Wee‐Chung Liew
This network shows the impact of papers produced by Alan Wee‐Chung 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 Alan Wee‐Chung Liew. The network helps show where Alan Wee‐Chung Liew may publish in the future.
Co-authorship network of co-authors of Alan Wee‐Chung Liew
This figure shows the co-authorship network connecting the top 25 collaborators of Alan Wee‐Chung Liew. A scholar is included among the top collaborators of Alan Wee‐Chung 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 Alan Wee‐Chung Liew. Alan Wee‐Chung 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 | 12 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 39 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 28 | |
| 15 | 31 | |
| 16 | 62 | |
| 17 | The digital museum: Challenges and solution | 16 |
| 18 | Human face animation based on video analysis, with applications to mobile entertainment | 3 |
| 19 | Measuring correlation between microarray time-series data using dominant spectral component | 7 |
| 20 | 102 |
About Alan Wee‐Chung Liew
Alan Wee‐Chung Liew is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 227 papers that have together received 4.4k indexed citations. Recurring topics across this work include Gene expression and cancer classification (27 papers), Speech and Audio Processing (24 papers) and Medical Image Segmentation Techniques (23 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Media Technology (451 citations) and Signal Processing (528 citations). Alan Wee‐Chung Liew has collaborated with scholars based in Australia, Hong Kong and China. Frequent co-authors include Hong Yan, S.H. Leung, Ngai-Fong Law, Shilin Wang, W.H. Lau, Tien Thanh Nguyen, Mengsu Yang, Ghazaleh Taherzadeh, Yuedong Yang and Yaoqi Zhou. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Bone and Joint Surgery.
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.