Xin Tan
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Automotive Engineering top 5%
- Media Technology top 5%
- Environmental Engineering top 10%
- Co-authors
- Lizhuang MaZhengyang FengKe XuYuan XieJianping ShiQianyu ZhouGuangliang ChengZhizhong Zhang
- Topics
- Advanced Neural Network Applications (20 papers)Advanced Image and Video Retrieval Techniques (13 papers)Multimodal Machine Learning Applications (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Xin Tan
74 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 772
- Artificial Intelligence 318
- Automotive Engineering 130
- Media Technology 127
- Environmental Engineering 90
Countries citing papers authored by Xin Tan
This map shows the geographic impact of Xin 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 Xin Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Tan more than expected).
Fields of papers citing papers by Xin Tan
This network shows the impact of papers produced by Xin 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 Xin Tan. The network helps show where Xin Tan may publish in the future.
Co-authorship network of co-authors of Xin Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Xin Tan. A scholar is included among the top collaborators of Xin 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 Xin Tan. Xin 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 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 27 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 49 | |
| 13 | 30 | |
| 14 | 131 | |
| 15 | 3 | |
| 16 | 71 | |
| 17 | Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum | 39 |
| 18 | 32 | |
| 19 | 96 | |
| 20 | Molecular and Phenotypic Spectrum of Noonan Syndrome in Chinese Patients | 2 |
About Xin Tan
Xin Tan is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (20 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Multimodal Machine Learning Applications (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (772 citations), Media Technology (127 citations) and Geology (61 citations). Xin Tan has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Lizhuang Ma, Zhengyang Feng, Ke Xu, Yuan Xie, Jianping Shi, Qianyu Zhou, Guangliang Cheng, Zhizhong Zhang, Rynson W. H. Lau and Min Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.