Xinmei Tian
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Biomedical Engineering top 10%
- Media Technology top 2%
- Signal Processing top 5%
- Topics
- Advanced Image and Video Retrieval Techniques (36 papers)Domain Adaptation and Few-Shot Learning (35 papers)Multimodal Machine Learning Applications (26 papers)
- Journals
- The Journal of ImmunologyIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xinmei Tian
110 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 2.1k
- Artificial Intelligence 1.3k
- Biomedical Engineering 350
- Media Technology 221
- Signal Processing 127
Countries citing papers authored by Xinmei Tian
This map shows the geographic impact of Xinmei Tian'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 Xinmei Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinmei Tian more than expected).
Fields of papers citing papers by Xinmei Tian
This network shows the impact of papers produced by Xinmei Tian. 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 Xinmei Tian. The network helps show where Xinmei Tian may publish in the future.
Co-authorship network of co-authors of Xinmei Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Xinmei Tian. A scholar is included among the top collaborators of Xinmei Tian 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 Xinmei Tian. Xinmei Tian 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 | 9 | |
| 5 | 1 | |
| 6 | 45 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 27 | |
| 10 | Class-Disentanglement and Applications in Adversarial Detection and Defense | 9 |
| 11 | 24 | |
| 12 | 73 | |
| 13 | 106 | |
| 14 | 12 | |
| 15 | 62 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 82 | |
| 19 | MSRA atT TRECVID 2008: High-Level Feature Extraction and Automatic Search. | 10 |
| 20 | A New SVM Iterative Algorithm in Large Training Set | 1 |
About Xinmei Tian
Xinmei Tian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 116 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (36 papers), Domain Adaptation and Few-Shot Learning (35 papers) and Multimodal Machine Learning Applications (26 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Artificial Intelligence (1.3k citations) and Media Technology (221 citations). Xinmei Tian has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dacheng Tao, Ting Yao, Tao Mei, Xian‐Sheng Hua, Zhaofan Qiu, Chong‐Wah Ngo, Xu Shen, Yingwei Pan, Tongliang Liu and Zhiwei Xiong. Their work appears in journals such as The Journal of Immunology, 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.