Andrew K. Chan
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Charles K. ChuiJaideva C. GoswamiMinsheng WangZhen LeiMin DaiDmitri LoguinovLeung TsangRubens A. Sigelmann
- Topics
- Image and Signal Denoising Methods (24 papers)Advanced Data Compression Techniques (9 papers)Seismic Imaging and Inversion Techniques (6 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Signal ProcessingThe Journal of the Acoustical Society of America
- Partner nations
- United StatesHong Kong
In The Last Decade
Andrew K. Chan
60 papers receiving 970 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 461
- Artificial Intelligence 172
- Aerospace Engineering 148
- Electrical and Electronic Engineering 148
- Control and Systems Engineering 147
Countries citing papers authored by Andrew K. Chan
This map shows the geographic impact of Andrew K. Chan'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 Andrew K. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew K. Chan more than expected).
Fields of papers citing papers by Andrew K. Chan
This network shows the impact of papers produced by Andrew K. Chan. 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 Andrew K. Chan. The network helps show where Andrew K. Chan may publish in the future.
Co-authorship network of co-authors of Andrew K. Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew K. Chan. A scholar is included among the top collaborators of Andrew K. Chan 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 Andrew K. Chan. Andrew K. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 16 | |
| 3 | 126 | |
| 4 | Rate-distorton analysis and traffic modeling of scalable video coders | 1 |
| 5 | 3 | |
| 6 | 9 | |
| 7 | Wavelets for Sensing Technologies | 16 |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 20 | |
| 11 | 10 | |
| 12 | 206 | |
| 13 | 1 | |
| 14 | 44 | |
| 15 | 17 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 22 |
About Andrew K. Chan
Andrew K. Chan is a scholar working on Computer Vision and Pattern Recognition, Geophysics and Signal Processing, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (24 papers), Advanced Data Compression Techniques (9 papers) and Seismic Imaging and Inversion Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (461 citations), Media Technology (125 citations) and Signal Processing (118 citations). Andrew K. Chan has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Charles K. Chui, Jaideva C. Goswami, Minsheng Wang, Zhen Lei, Min Dai, Dmitri Loguinov, Leung Tsang, Charles K. Chui, Rubens A. Sigelmann and C. Steve Suh. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.
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.