Kai Liu
- Electrical and Electronic Engineering top 2%
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 2%
- Control and Systems Engineering top 2%
- Automotive Engineering top 2%
- Co-authors
- Victor C. S. LeeSang H. SonJoseph Kee‐Yin NgPenglin DaiLiang FengSongtao GuoChunhui LiuPan Zhou
- Topics
- Vehicular Ad Hoc Networks (VANETs) (63 papers)IoT and Edge/Fog Computing (32 papers)Mobile Ad Hoc Networks (30 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Automatic Control
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Kai Liu
224 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 146
- Electrical and Electronic Engineering 2.0k
- Computer Networks and Communications 1.7k
- Artificial Intelligence 722
- Control and Systems Engineering 533
- Automotive Engineering 513
Countries citing papers authored by Kai Liu
This map shows the geographic impact of Kai Liu'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 Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Liu more than expected).
Fields of papers citing papers by Kai Liu
This network shows the impact of papers produced by Kai Liu. 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 Liu. The network helps show where Kai Liu may publish in the future.
Co-authorship network of co-authors of Kai Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Liu. A scholar is included among the top collaborators of Kai Liu 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 Liu. Kai Liu 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 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 19 | |
| 15 | 5 | |
| 16 | 45 | |
| 17 | Understanding the Tradeoff between Cost and Quality of Expert Annotations for Keyphrase Extraction | 4 |
| 18 | 186 | |
| 19 | 7 | |
| 20 | Performance Improvement in Applying Network Coding to On-demand Scheduling Algorithms for Broadcasts in Wireless Networks | 1 |
About Kai Liu
Kai Liu is a scholar working on Computer Networks and Communications, Automotive Engineering and Electrical and Electronic Engineering, having authored 246 papers that have together received 3.9k indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (63 papers), IoT and Edge/Fog Computing (32 papers) and Mobile Ad Hoc Networks (30 papers). The work is most often cited by research in Computer Networks and Communications (1.7k citations), Automotive Engineering (513 citations) and Transportation (254 citations). Kai Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Victor C. S. Lee, Sang H. Son, Joseph Kee‐Yin Ng, Penglin Dai, Liang Feng, Songtao Guo, Chunhui Liu, Pan Zhou, Ivan Stojmenović and Xiumin Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Automatic Control.
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.