Sikang Liu
- Aerospace Engineering top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Co-authors
- Vijay KumarKartik MohtaMichael WattersonKe SunNikolay AtanasovYash MulgaonkarCamillo J. TaylorBernd Pfrommer
- Topics
- Robotics and Sensor-Based Localization (11 papers)Robotic Path Planning Algorithms (11 papers)Advanced Vision and Imaging (5 papers)
- Journals
- Pattern RecognitionThe International Journal of Robotics ResearchInternational Journal of Applied Earth Observation and Geoinformation
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Sikang Liu
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Aerospace Engineering 1.1k
- Computer Vision and Pattern Recognition 1.1k
- Control and Systems Engineering 323
- Computer Networks and Communications 183
- Electrical and Electronic Engineering 164
Countries citing papers authored by Sikang Liu
This map shows the geographic impact of Sikang 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 Sikang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sikang Liu more than expected).
Fields of papers citing papers by Sikang Liu
This network shows the impact of papers produced by Sikang 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 Sikang Liu. The network helps show where Sikang Liu may publish in the future.
Co-authorship network of co-authors of Sikang Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Sikang Liu. A scholar is included among the top collaborators of Sikang 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 Sikang Liu. Sikang 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 | 2 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 13 | |
| 7 | 24 | |
| 8 | 10 | |
| 9 | Motion Planning For Micro Aerial Vehicles | 4 |
| 10 | Robust Stereo Visual Inertial Odometry for Fast Autonomous Flightbreakdown → | 386 |
| 11 | 109 | |
| 12 | 32 | |
| 13 | 142 | |
| 14 | Planning Dynamically Feasible Trajectories for Quadrotors Using Safe Flight Corridors in 3-D Complex Environmentsbreakdown → | 355 |
| 15 | 136 | |
| 16 | 63 | |
| 17 | 100 | |
| 18 | 109 |
About Sikang Liu
Sikang Liu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Automotive Engineering, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (11 papers), Robotic Path Planning Algorithms (11 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Aerospace Engineering (1.1k citations) and Geology (161 citations). Sikang Liu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Vijay Kumar, Kartik Mohta, Michael Watterson, Ke Sun, Nikolay Atanasov, Yash Mulgaonkar, Camillo J. Taylor, Bernd Pfrommer, Camillo J. Taylor and Subhrajit Bhattacharya. Their work appears in journals such as Pattern Recognition, The International Journal of Robotics Research and International Journal of Applied Earth Observation and Geoinformation.
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.