Kwan‐Liu Ma
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Computer Networks and Communications top 10%
- Computational Mechanics top 10%
- Information Systems and Management top 5%
- Co-authors
- C. CorreaT. J. Jankun-KellyHongfeng YuChaoli WangJacqueline H. ChenRay GroutJinhui YuZhuwen Li
- Topics
- Computer Graphics and Visualization Techniques (5 papers)Advanced Vision and Imaging (4 papers)Data Visualization and Analytics (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionInformation Systems and Management
- Journals
- IEEE Transactions on Visualization and Computer GraphicsIEEE Computer Graphics and Applications
- Partner nations
- United StatesChina
In The Last Decade
Kwan‐Liu Ma
9 papers receiving 532 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 341
- Computer Graphics and Computer-Aided Design 241
- Computer Networks and Communications 134
- Computational Mechanics 91
- Information Systems and Management 77
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 | 0 | |
| 2 | 5 | |
| 3 | 20 | |
| 4 | 40 | |
| 5 | 123 | |
| 6 | 43 | |
| 7 | 50 | |
| 8 | 95 | |
| 9 | 119 | |
| 10 | 64 |
About Kwan‐Liu Ma
Kwan‐Liu Ma is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 10 papers that have together received 559 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), Advanced Vision and Imaging (4 papers) and Data Visualization and Analytics (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (241 citations), Computer Vision and Pattern Recognition (341 citations) and Information Systems and Management (77 citations). Kwan‐Liu Ma has collaborated with scholars based in United States and China. Frequent co-authors include C. Correa, T. J. Jankun-Kelly, Hongfeng Yu, Chaoli Wang, Jacqueline H. Chen, Ray Grout, Jinhui Yu, Zhuwen Li, Song Wang and Yubo Zhang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics 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.