Xiao Tan
- Computer Vision and Pattern Recognition top 5%
- Atmospheric Science top 10%
- Global and Planetary Change top 10%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Topics
- Precipitation Measurement and Analysis (6 papers)Image Enhancement Techniques (6 papers)Meteorological Phenomena and Simulations (5 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiao Tan
20 papers receiving 628 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 234
- Atmospheric Science 216
- Global and Planetary Change 155
- Artificial Intelligence 122
- Media Technology 86
Countries citing papers authored by Xiao Tan
This map shows the geographic impact of Xiao Tan'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 Xiao Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Tan more than expected).
Fields of papers citing papers by Xiao Tan
This network shows the impact of papers produced by Xiao Tan. 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 Xiao Tan. The network helps show where Xiao Tan may publish in the future.
Co-authorship network of co-authors of Xiao Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Tan. A scholar is included among the top collaborators of Xiao Tan 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 Xiao Tan. Xiao Tan 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 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | Single Image Dehazing Using Saturation Line Priorbreakdown → | 96 |
| 8 | 12 | |
| 9 | 21 | |
| 10 | Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptationbreakdown → | 134 |
| 11 | 0 | |
| 12 | 11 | |
| 13 | 61 | |
| 14 | 9 | |
| 15 | 11 | |
| 16 | 21 | |
| 17 | 31 | |
| 18 | 27 | |
| 19 | 58 | |
| 20 | 17 |
About Xiao Tan
Xiao Tan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atmospheric Science, having authored 26 papers that have together received 639 indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (6 papers), Image Enhancement Techniques (6 papers) and Meteorological Phenomena and Simulations (5 papers). The work is most often cited by research in Atmospheric Science (216 citations), Computer Vision and Pattern Recognition (234 citations) and Media Technology (86 citations). Xiao Tan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yi Jin, Huaian Chen, Enhong Chen, Ziqiang Ma, Kang He, Lin Chen, Xin Jin, Yu He, Xiuzhen Han and Guoqiang Tang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Geoscience and Remote Sensing.
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.