Kai Shen
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Oncology
- Control and Systems Engineering top 10%
- Epidemiology
- Co-authors
- Peng DongZhongliang JingHenry LeungMichael R. WangMinzhe LiE L KaplanFrancis H. StrausKeith S. Naunheim
- Topics
- Target Tracking and Data Fusion in Sensor Networks (16 papers)Distributed Sensor Networks and Detection Algorithms (11 papers)Distributed Control Multi-Agent Systems (9 papers)
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Signal ProcessingAnnals of Oncology
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kai Shen
75 papers receiving 768 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 288
- Computer Networks and Communications 178
- Oncology 160
- Control and Systems Engineering 107
- Epidemiology 107
Countries citing papers authored by Kai Shen
This map shows the geographic impact of Kai Shen'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 Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Shen more than expected).
Fields of papers citing papers by Kai Shen
This network shows the impact of papers produced by Kai Shen. 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 Shen. The network helps show where Kai Shen may publish in the future.
Co-authorship network of co-authors of Kai Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Shen. A scholar is included among the top collaborators of Kai Shen 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 Shen. Kai Shen 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 15 | |
| 14 | 14 | |
| 15 | 35 | |
| 16 | 52 | |
| 17 | 26 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | Accurate Visual Stimulus Presentation Software for EEG Experiments | 5 |
About Kai Shen
Kai Shen is a scholar working on Computer Networks and Communications, Instrumentation and Artificial Intelligence, having authored 88 papers that have together received 790 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (16 papers), Distributed Sensor Networks and Detection Algorithms (11 papers) and Distributed Control Multi-Agent Systems (9 papers). The work is most often cited by research in Artificial Intelligence (288 citations), Computer Networks and Communications (178 citations) and Oncology (160 citations). Kai Shen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Peng Dong, Zhongliang Jing, Henry Leung, Michael R. Wang, Minzhe Li, E L Kaplan, Francis H. Straus, Keith S. Naunheim, Yiyi Ji and Zehua Ma. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing and Annals of Oncology.
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.