Tica Lin
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 10%
- Artificial Intelligence
- Developmental and Educational Psychology
- Sociology and Political Science
- Co-authors
- Hanspeter PfisterJohanna BeyerYalong YangZhutian ChenYingcai WuChris NorthS.R. InE. Glassman
- Topics
- Video Analysis and Summarization (6 papers)Data Visualization and Analytics (4 papers)Multimedia Communication and Technology (3 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionDevelopmental and Educational Psychology
- Journals
- IEEE Transactions on Visualization and Computer GraphicsComputer Graphics ForumIEEE Computer Graphics and Applications
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Tica Lin
11 papers receiving 117 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 77
- Human-Computer Interaction 39
- Artificial Intelligence 20
- Developmental and Educational Psychology 19
- Sociology and Political Science 17
Countries citing papers authored by Tica Lin
This map shows the geographic impact of Tica Lin'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 Tica Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tica Lin more than expected).
Fields of papers citing papers by Tica Lin
This network shows the impact of papers produced by Tica Lin. 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 Tica Lin. The network helps show where Tica Lin may publish in the future.
Co-authorship network of co-authors of Tica Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Tica Lin. A scholar is included among the top collaborators of Tica Lin 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 Tica Lin. Tica Lin 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 23 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 13 | |
| 10 | 7 | |
| 11 | 0 | |
| 12 | 28 | |
| 13 | 23 |
About Tica Lin
Tica Lin is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Ecological Modeling, having authored 13 papers that have together received 119 indexed citations. Recurring topics across this work include Video Analysis and Summarization (6 papers), Data Visualization and Analytics (4 papers) and Multimedia Communication and Technology (3 papers). The work is most often cited by research in Human-Computer Interaction (39 citations), Computer Vision and Pattern Recognition (77 citations) and Developmental and Educational Psychology (19 citations). Tica Lin has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Hanspeter Pfister, Johanna Beyer, Yalong Yang, Zhutian Chen, Yingcai Wu, Chris North, S.R. In, E. Glassman, Michael Glueck and Mao‐Lun Chiang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum 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.