Yunhai Tong
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Co-authors
- Yujing WangXiangtai LiJuanyong DuanBixiong XuCongrui HuangJing BaiTianmeng YangZhihan Yue
- Topics
- Advanced Image and Video Retrieval Techniques (15 papers)Advanced Neural Network Applications (14 papers)Topic Modeling (10 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yunhai Tong
66 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 959
- Computer Vision and Pattern Recognition 709
- Signal Processing 428
- Computer Networks and Communications 310
- Information Systems 139
Countries citing papers authored by Yunhai Tong
This map shows the geographic impact of Yunhai Tong'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 Yunhai Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunhai Tong more than expected).
Fields of papers citing papers by Yunhai Tong
This network shows the impact of papers produced by Yunhai Tong. 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 Yunhai Tong. The network helps show where Yunhai Tong may publish in the future.
Co-authorship network of co-authors of Yunhai Tong
This figure shows the co-authorship network connecting the top 25 collaborators of Yunhai Tong. A scholar is included among the top collaborators of Yunhai Tong 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 Yunhai Tong. Yunhai Tong 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 | 2 | |
| 3 | 2 | |
| 4 | Towards Open Vocabulary Learning: A Surveybreakdown → | 64 |
| 5 | 0 | |
| 6 | 30 | |
| 7 | 103 | |
| 8 | 47 | |
| 9 | 5 | |
| 10 | 87 | |
| 11 | 34 | |
| 12 | Global Aggregation then Local Distribution in Fully Convolutional Networks. | 8 |
| 13 | Dual Graph Convolutional Network for Semantic Segmentation. | 23 |
| 14 | 13 | |
| 15 | 32 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | 8 |
About Yunhai Tong
Yunhai Tong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Advanced Neural Network Applications (14 papers) and Topic Modeling (10 papers). The work is most often cited by research in Signal Processing (428 citations), Computer Vision and Pattern Recognition (709 citations) and Artificial Intelligence (959 citations). Yunhai Tong has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yujing Wang, Xiangtai Li, Juanyong Duan, Bixiong Xu, Congrui Huang, Jing Bai, Tianmeng Yang, Zhihan Yue, Guangliang Cheng and Defu Cao. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Neuroscience.
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.