Kun Shao
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Control and Systems Engineering
- Sociology and Political Science
- Topics
- Reinforcement Learning in Robotics (9 papers)Artificial Intelligence in Games (8 papers)Digital Games and Media (4 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- Soft ComputingIEEE Transactions on Emerging Topics in Computational IntelligenceInteractive Technology and Smart Education
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Kun Shao
16 papers receiving 361 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 252
- Computer Vision and Pattern Recognition 74
- Computer Networks and Communications 71
- Control and Systems Engineering 49
- Sociology and Political Science 47
Countries citing papers authored by Kun Shao
This map shows the geographic impact of Kun Shao'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 Kun Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Shao more than expected).
Fields of papers citing papers by Kun Shao
This network shows the impact of papers produced by Kun Shao. 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 Kun Shao. The network helps show where Kun Shao may publish in the future.
Co-authorship network of co-authors of Kun Shao
This figure shows the co-authorship network connecting the top 25 collaborators of Kun Shao. A scholar is included among the top collaborators of Kun Shao 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 Kun Shao. Kun Shao 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 | 122 | |
| 4 | 7 | |
| 5 | 23 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 17 | |
| 9 | 37 | |
| 10 | 8 | |
| 11 | 96 | |
| 12 | 15 | |
| 13 | Comparing Teacher Dispositions in China and the USA. | 3 |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 25 |
About Kun Shao
Kun Shao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Science Applications, having authored 16 papers that have together received 378 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (9 papers), Artificial Intelligence in Games (8 papers) and Digital Games and Media (4 papers). The work is most often cited by research in Artificial Intelligence (252 citations), Computer Vision and Pattern Recognition (74 citations) and Computer Networks and Communications (71 citations). Kun Shao has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Dongbin Zhao, Yuanheng Zhu, Haitao Wang, Nannan Li, Tong Zhou, Li Dong, Derong Liu, Tingwen Huang, Roy Tamashiro and Le Lv. Their work appears in journals such as Soft Computing, IEEE Transactions on Emerging Topics in Computational Intelligence and Interactive Technology and Smart Education.
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.