Cindy Xiong
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology
- Sociology and Political Science
- Cognitive Neuroscience
- Co-authors
- Steven FranconeriYea‐Seul KimJessica HullmanCole Nussbaumer KnaflicCasimir J. H. LudwigVidya SetlurW S KemperNarges Mahyar
- Topics
- Data Visualization and Analytics (31 papers)Advanced Text Analysis Techniques (7 papers)Data Analysis with R (6 papers)
- Journals
- IEEE Transactions on Visualization and Computer GraphicsJournal of VisionIEEE Computer Graphics and Applications
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Cindy Xiong
32 papers receiving 405 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 292
- Artificial Intelligence 140
- Experimental and Cognitive Psychology 49
- Sociology and Political Science 46
- Cognitive Neuroscience 46
Countries citing papers authored by Cindy Xiong
This map shows the geographic impact of Cindy Xiong'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 Cindy Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cindy Xiong more than expected).
Fields of papers citing papers by Cindy Xiong
This network shows the impact of papers produced by Cindy Xiong. 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 Cindy Xiong. The network helps show where Cindy Xiong may publish in the future.
Co-authorship network of co-authors of Cindy Xiong
This figure shows the co-authorship network connecting the top 25 collaborators of Cindy Xiong. A scholar is included among the top collaborators of Cindy Xiong 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 Cindy Xiong. Cindy Xiong 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 20 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 17 | |
| 18 | 3 | |
| 19 | 45 | |
| 20 | 22 |
About Cindy Xiong
Cindy Xiong is a scholar working on Computer Vision and Pattern Recognition, Ecological Modeling and General Social Sciences, having authored 38 papers that have together received 425 indexed citations. Recurring topics across this work include Data Visualization and Analytics (31 papers), Advanced Text Analysis Techniques (7 papers) and Data Analysis with R (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (292 citations), Ecological Modeling (20 citations) and Artificial Intelligence (140 citations). Cindy Xiong has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Steven Franconeri, Yea‐Seul Kim, Jessica Hullman, Cole Nussbaumer Knaflic, Casimir J. H. Ludwig, Vidya Setlur, W S Kemper, Narges Mahyar, Lace Padilla and Marti A. Hearst. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Vision 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.