Kwan-Liu Ma
- Computer Vision and Pattern Recognition top 2%
- Computer Graphics and Computer-Aided Design top 1%
- Statistical and Nonlinear Physics top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Co-authors
- Chaoli WangTina Eliassi‐RadZeqian ShenHongfeng YuPetra IsenbergJean ScholtzHans HagenDaniel Cernea
- Topics
- Data Visualization and Analytics (13 papers)Computer Graphics and Visualization Techniques (8 papers)Advanced Vision and Imaging (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- IEEE Transactions on Visualization and Computer GraphicsIEEE Computer Graphics and ApplicationsInformation Visualization
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Kwan-Liu Ma
17 papers receiving 717 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 535
- Computer Graphics and Computer-Aided Design 199
- Statistical and Nonlinear Physics 129
- Signal Processing 106
- Artificial Intelligence 105
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 of co-authors of Kwan-Liu Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Kwan-Liu Ma. A scholar is included among the top collaborators of Kwan-Liu Ma 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 Kwan-Liu Ma. Kwan-Liu Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 20 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 35 | |
| 8 | 196 | |
| 9 | 63 | |
| 10 | 18 | |
| 11 | 25 | |
| 12 | 112 | |
| 13 | 128 | |
| 14 | 33 | |
| 15 | 10 | |
| 16 | 17 | |
| 17 | 17 | |
| 18 | 44 |
About Kwan-Liu Ma
Kwan-Liu Ma is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 18 papers that have together received 736 indexed citations. Recurring topics across this work include Data Visualization and Analytics (13 papers), Computer Graphics and Visualization Techniques (8 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (199 citations), Computer Vision and Pattern Recognition (535 citations) and Human-Computer Interaction (83 citations). Kwan-Liu Ma has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Chaoli Wang, Tina Eliassi‐Rad, Zeqian Shen, Hongfeng Yu, Petra Isenberg, Jean Scholtz, Hans Hagen, Daniel Cernea, Niklas Elmqvist and Chris Muelder. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications and Information Visualization.
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.