Xiaoxiao Sun
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Molecular Biology
- Oncology
- Biomedical Engineering
- Topics
- Gene expression and cancer classification (3 papers)Single-cell and spatial transcriptomics (2 papers)Pharmacogenetics and Drug Metabolism (2 papers)
- Journals
- Nature CommunicationsJournal of the American Statistical AssociationIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoxiao Sun
21 papers receiving 671 citations
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 313
- Artificial Intelligence 240
- Molecular Biology 95
- Oncology 85
- Biomedical Engineering 82
Countries citing papers authored by Xiaoxiao Sun
This map shows the geographic impact of Xiaoxiao Sun'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 Xiaoxiao Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxiao Sun more than expected).
Fields of papers citing papers by Xiaoxiao Sun
This network shows the impact of papers produced by Xiaoxiao Sun. 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 Xiaoxiao Sun. The network helps show where Xiaoxiao Sun may publish in the future.
Co-authorship network of co-authors of Xiaoxiao Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxiao Sun. A scholar is included among the top collaborators of Xiaoxiao Sun 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 Xiaoxiao Sun. Xiaoxiao Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 16 | |
| 7 | 27 | |
| 8 | 12 | |
| 9 | 186 | |
| 10 | 72 | |
| 11 | 2 | |
| 12 | 36 | |
| 13 | 67 | |
| 14 | 15 | |
| 15 | 28 | |
| 16 | 32 | |
| 17 | 109 | |
| 18 | 17 | |
| 19 | Modified total arch replacement using a four-branched arch graft for acute type A aortic dissection with minimal brain and spinal cord ischemic time. | 1 |
| 20 | 53 |
About Xiaoxiao Sun
Xiaoxiao Sun is a scholar working on Computer Vision and Pattern Recognition, Statistics and Probability and Pharmacology, having authored 23 papers that have together received 694 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Single-cell and spatial transcriptomics (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (313 citations), Artificial Intelligence (240 citations) and Statistics and Probability (33 citations). Xiaoxiao Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Liang Zheng, Jufeng Yang, Ming Sun, Paul L. Rosin, Jie Liang, Ping Ma, Ming‐Ming Cheng, Xiaoping Wu, Liang Wang and Lingling An. Their work appears in journals such as Nature Communications, Journal of the American Statistical Association and IEEE Transactions on Image Processing.
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.