Binfei Tu
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Medical Image Segmentation Techniques
- Media Technology top 5%
- Remote-Sensing Image Classification
- Image Processing Techniques and Applications
Papers in
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- Advanced Neural Network Applications 7
- Advanced Image and Video Retrieval Techniques 3
- Medical Image Segmentation Techniques 1
- Multimodal Machine Learning Applications 1
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- Domain Adaptation and Few-Shot Learning 7
- Machine Learning and ELM 1
- Co-authors
- Chunbo Lang (7 shared papers)Gong Cheng (7 shared papers)Junwei Han (7 shared papers)Junyi Wang (1 shared paper)Chao Li (1 shared paper)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (2 papers)International Journal of Computer Vision (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- China
In The Last Decade
Binfei Tu
7 papers receiving 558 citations
Binfei Tu's Hit Papers
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 397
- Media Technology 141
- Artificial Intelligence 293
- Radiology, Nuclear Medicine and Imaging 78
- Industrial and Manufacturing Engineering 31
Countries citing papers authored by Binfei Tu
This map shows the geographic impact of Binfei Tu'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 Binfei Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binfei Tu more than expected).
Fields of papers citing papers by Binfei Tu
This network shows the impact of papers produced by Binfei Tu. 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 Binfei Tu. The network helps show where Binfei Tu may publish in the future.
Co-authors
The 5 scholars most cited alongside Binfei Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Learning What Not to Segment: A New Perspective on Few-Shot Segmentation Hit paper breakdown → | 2022 | 209 |
| 2 | Base and Meta: A New Perspective on Few-Shot Segmentation Hit paper breakdown → | 2023 | 114 |
| 3 | 2023 | 67 | |
| 4 | 2023 | 57 | |
| 5 | 2022 | 55 | |
| 6 | 2023 | 38 | |
| 7 | 2023 | 20 |
About Binfei Tu
Binfei Tu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 560 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (3 papers), COVID-19 diagnosis using AI (1 paper), Machine Learning and ELM (1 paper), Medical Image Segmentation Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (397 citations), Media Technology (141 citations), Artificial Intelligence (293 citations), Radiology, Nuclear Medicine and Imaging (78 citations) and Industrial and Manufacturing Engineering (31 citations). Binfei Tu has collaborated with scholars based in China. Frequent co-authors include Chunbo Lang, Gong Cheng, Junwei Han, Junyi Wang and Chao Li. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Computer Vision, IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
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.