Tianshui Chen
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Computational Mechanics top 10%
- Media Technology top 5%
- Experimental and Cognitive Psychology top 10%
- Topics
- Advanced Image and Video Retrieval Techniques (20 papers)Multimodal Machine Learning Applications (16 papers)Domain Adaptation and Few-Shot Learning (16 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Tianshui Chen
51 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 1.4k
- Artificial Intelligence 891
- Computational Mechanics 118
- Media Technology 114
- Experimental and Cognitive Psychology 78
Countries citing papers authored by Tianshui Chen
This map shows the geographic impact of Tianshui Chen'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 Tianshui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianshui Chen more than expected).
Fields of papers citing papers by Tianshui Chen
This network shows the impact of papers produced by Tianshui Chen. 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 Tianshui Chen. The network helps show where Tianshui Chen may publish in the future.
Co-authorship network of co-authors of Tianshui Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Tianshui Chen. A scholar is included among the top collaborators of Tianshui Chen 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 Tianshui Chen. Tianshui Chen 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 | 0 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 13 | |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 11 | |
| 17 | 8 | |
| 18 | 19 | |
| 19 | 211 | |
| 20 | 208 |
About Tianshui Chen
Tianshui Chen is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Artificial Intelligence, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (20 papers), Multimodal Machine Learning Applications (16 papers) and Domain Adaptation and Few-Shot Learning (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (891 citations) and Media Technology (114 citations). Tianshui Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Liang Lin, Guanbin Li, Hefeng Wu, Weihao Yu, Ruijia Xu, Xiaonan Luo, Zhouxia Wang, Lingbo Liu, Yuan Xie and Xuelong Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing 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.