Andy C. Yau
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials
Papers in
-
- Image and Signal Denoising Methods 9
- Advanced Image Processing Techniques 7
-
- Sparse and Compressive Sensing Techniques 6
- Co-authors
- Jun Chen (3 shared papers)Alberto Libanori (1 shared paper)Christian Au (1 shared paper)Trinny Tat (1 shared paper)Michael K. Ng (9 shared papers)Xun Zhao (1 shared paper)Guorui Chen (1 shared paper)Tony F. Chan (1 shared paper)
- Journals
- Computational Optimization and Applications (1 paper)Multidimensional Systems and Signal Processing (1 paper)Biosensors and Bioelectronics (1 paper)Applied and Computational Harmonic Analysis (1 paper)International Journal of Imaging Systems and Technology (1 paper)
- Partner nations
- Hong KongUnited StatesSingapore
In The Last Decade
Andy C. Yau
12 papers receiving 394 citations
Peers
Comparison fields: 5 of 49
- Polymers and Plastics 171
- Biomedical Engineering 294
- Media Technology 42
- Cognitive Neuroscience 80
- Computer Vision and Pattern Recognition 86
Countries citing papers authored by Andy C. Yau
This map shows the geographic impact of Andy C. Yau'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 Andy C. Yau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy C. Yau more than expected).
Fields of papers citing papers by Andy C. Yau
This network shows the impact of papers produced by Andy C. Yau. 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 Andy C. Yau. The network helps show where Andy C. Yau may publish in the future.
Co-authors
The 21 scholars most cited alongside Andy C. Yau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 223 | |
| 2 | 2021 | 80 | |
| 3 | 2007 | 38 | |
| 4 | 2006 | 20 | |
| 5 | 2005 | 14 | |
| 6 | 2021 | 8 | |
| 7 | 2010 | 5 | |
| 8 | 2007 | 4 | |
| 9 | 2005 | 3 | |
| 10 | 2003 | 2 | |
| 11 | 2004 | 2 | |
| 12 | 2003 | 1 |
About Andy C. Yau
Andy C. Yau is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Media Technology, Polymers and Plastics and Electrical and Electronic Engineering, having authored 12 papers that have together received 400 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (9 papers), Advanced Image Processing Techniques (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Image Processing Techniques and Applications (3 papers), Supercapacitor Materials and Fabrication (2 papers), Conducting polymers and applications (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Advanced Battery Materials and Technologies (1 paper). The work is most often cited by research in Polymers and Plastics (171 citations), Biomedical Engineering (294 citations), Media Technology (42 citations), Cognitive Neuroscience (80 citations) and Computer Vision and Pattern Recognition (86 citations). Andy C. Yau has collaborated with scholars based in Hong Kong, United States and Singapore. Frequent co-authors include Jun Chen, Alberto Libanori, Christian Au, Trinny Tat, Michael K. Ng, Xun Zhao, Guorui Chen, Tony F. Chan, Andy M. Yip and Nirmal K. Bose. Their work appears in journals such as Computational Optimization and Applications, Multidimensional Systems and Signal Processing, Biosensors and Bioelectronics, Applied and Computational Harmonic Analysis and International Journal of Imaging Systems and Technology.
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.