Kwan-Liu Ma
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- Computer Graphics and Visualization Techniques 5
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- Data Visualization and Analytics 5
- Advanced Vision and Imaging 2
- Digital Image Processing Techniques 1
- Generative Adversarial Networks and Image Synthesis 1
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- Machine Learning in Healthcare 2
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- Wind and Air Flow Studies 1
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- Species Distribution and Climate Change 1
- Co-authors
- C. CorreaChris BryanJonathan WoodringTakanori FujiwaraEric B. LumCraig JonesSoman SenNam K. Tran
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionHealth Informatics
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)Visual Informatics (3 papers)IEEE Computer Graphics and Applications (2 papers)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Kwan-Liu Ma
11 papers receiving 254 citations
Peers
Comparison fields: 5 of 58
- Computer Graphics and Computer-Aided Design 102
- Computer Vision and Pattern Recognition 227
- Health Informatics 4
- Signal Processing 31
- Artificial Intelligence 62
Countries citing papers authored by Kwan-Liu Ma
This map shows the geographic impact of Kwan-Liu Ma'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 Kwan-Liu Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwan-Liu Ma more than expected).
Fields of papers citing papers by Kwan-Liu Ma
This network shows the impact of papers produced by Kwan-Liu Ma. 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 Kwan-Liu Ma. The network helps show where Kwan-Liu Ma may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Kwan-Liu Ma, 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 | 9 | |
| 2 | 2020 | 31 | |
| 3 | 2020 | 20 | |
| 4 | 2016 | 72 | |
| 5 | 2015 | 2 | |
| 6 | 2011 | 12 | |
| 7 | 2010 | 76 | |
| 8 | 2010 | 9 | |
| 9 | 2003 | 20 | |
| 10 | 2002 | 9 | |
| 11 | 1999 | 1 |
About Kwan-Liu Ma
Kwan-Liu Ma is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Ecological Modeling, Geochemistry and Petrology and Fluid Flow and Transfer Processes, having authored 11 papers that have together received 261 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Computer Graphics and Visualization Techniques (5 papers), Advanced Vision and Imaging (2 papers), Machine Learning in Healthcare (2 papers), Wind and Air Flow Studies (1 paper), Digital Image Processing Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (102 citations), Computer Vision and Pattern Recognition (227 citations), Health Informatics (4 citations), Signal Processing (31 citations) and Artificial Intelligence (62 citations). Kwan-Liu Ma has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include C. Correa, Chris Bryan, Jonathan Woodring, Takanori Fujiwara, Eric B. Lum, Craig Jones, Soman Sen, Nam K. Tran, Katherine Kim and Yong Kyung Choi. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Visual Informatics and IEEE Computer Graphics and Applications.
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.