Liangkai Liu
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Automotive Engineering top 2%
- Artificial Intelligence top 5%
- Co-authors
- Weisong ShiShaoshan LiuJie TangYu BoYifan WangSidi LuQingyang ZhangXingzhou Zhang
- Topics
- Autonomous Vehicle Technology and Safety (13 papers)Advanced Neural Network Applications (9 papers)IoT and Edge/Fog Computing (8 papers)
- Cited by
- Automotive EngineeringComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Liangkai Liu
27 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 563
- Electrical and Electronic Engineering 466
- Computer Vision and Pattern Recognition 408
- Automotive Engineering 305
- Artificial Intelligence 246
Countries citing papers authored by Liangkai Liu
This map shows the geographic impact of Liangkai 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 Liangkai Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangkai Liu more than expected).
Fields of papers citing papers by Liangkai Liu
This network shows the impact of papers produced by Liangkai 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 Liangkai Liu. The network helps show where Liangkai Liu may publish in the future.
Co-authorship network of co-authors of Liangkai Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Liangkai Liu. A scholar is included among the top collaborators of Liangkai 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 Liangkai Liu. Liangkai 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 9 | |
| 11 | 10 | |
| 12 | 48 | |
| 13 | A Comparison of Communication Mechanisms in Vehicular Edge Computing. | 8 |
| 14 | 17 | |
| 15 | 144 | |
| 16 | Edge Computing for Autonomous Driving: Opportunities and Challengesbreakdown → | 489 |
| 17 | 14 | |
| 18 | 86 | |
| 19 | 10 | |
| 20 | 20 |
About Liangkai Liu
Liangkai Liu is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (13 papers), Advanced Neural Network Applications (9 papers) and IoT and Edge/Fog Computing (8 papers). The work is most often cited by research in Automotive Engineering (305 citations), Computer Networks and Communications (563 citations) and Computer Vision and Pattern Recognition (408 citations). Liangkai Liu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Weisong Shi, Shaoshan Liu, Jie Tang, Yu Bo, Yifan Wang, Sidi Lu, Qingyang Zhang, Xingzhou Zhang, Baofu Wu and Yongtao Yao. Their work appears in journals such as Proceedings of the IEEE, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.
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.