Kai Zhao
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Media Technology top 1%
- Signal Processing top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Ming‐Ming ChengShanghua GaoPhilip H. S. TorrMing–Hsuan YangXinyu ZhangWei ShenWenjia LiDafang Zhang
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Advanced Neural Network Applications (8 papers)Medical Image Segmentation Techniques (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceScientific Reports
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kai Zhao
60 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 2.0k
- Artificial Intelligence 815
- Media Technology 438
- Signal Processing 423
- Radiology, Nuclear Medicine and Imaging 359
Countries citing papers authored by Kai Zhao
This map shows the geographic impact of Kai Zhao'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 Kai Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Zhao more than expected).
Fields of papers citing papers by Kai Zhao
This network shows the impact of papers produced by Kai Zhao. 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 Kai Zhao. The network helps show where Kai Zhao may publish in the future.
Co-authorship network of co-authors of Kai Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Zhao. A scholar is included among the top collaborators of Kai Zhao 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 Kai Zhao. Kai Zhao 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | 17 | |
| 14 | 8 | |
| 15 | 22 | |
| 16 | Res2Net: A New Multi-Scale Backbone Architecturebreakdown → | 2229 |
| 17 | 36 | |
| 18 | 65 | |
| 19 | 87 | |
| 20 | 5 |
About Kai Zhao
Kai Zhao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Software, having authored 64 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Advanced Neural Network Applications (8 papers) and Medical Image Segmentation Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Media Technology (438 citations) and Signal Processing (423 citations). Kai Zhao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ming‐Ming Cheng, Shanghua Gao, Philip H. S. Torr, Ming–Hsuan Yang, Xinyu Zhang, Wei Shen, Wenjia Li, Dafang Zhang, Xin Su and Alan Yuille. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.