Huili Yu
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Control and Systems Engineering
- Co-authors
- Randal W. BeardMatthew E. ArgyleKevin MeierRandy BeardJeffrey ByrneRajnikant SharmaClark N. TaylorHe Bai
- Topics
- Robotic Path Planning Algorithms (11 papers)Robotics and Sensor-Based Localization (10 papers)Distributed Control Multi-Agent Systems (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringComputer Networks and Communications
- Journals
- IEEE Transactions on Control Systems TechnologyIEEE/ASME Transactions on MechatronicsRobotics and Autonomous Systems
- Partner nations
- United StatesChina
In The Last Decade
Huili Yu
18 papers receiving 342 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 247
- Aerospace Engineering 245
- Computer Networks and Communications 132
- Artificial Intelligence 51
- Control and Systems Engineering 50
Countries citing papers authored by Huili Yu
This map shows the geographic impact of Huili Yu'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 Huili Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huili Yu more than expected).
Fields of papers citing papers by Huili Yu
This network shows the impact of papers produced by Huili Yu. 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 Huili Yu. The network helps show where Huili Yu may publish in the future.
Co-authorship network of co-authors of Huili Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Huili Yu. A scholar is included among the top collaborators of Huili Yu 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 Huili Yu. Huili Yu 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 | 2 | |
| 4 | 2 | |
| 5 | 166 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 25 | |
| 9 | 14 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 38 | |
| 13 | 16 | |
| 14 | Vision-based path planning, collision avoidance, and target tracking for unmanned air and ground vehicles in urban environments | 2 |
| 15 | 21 | |
| 16 | 2 | |
| 17 | 10 | |
| 18 | 10 | |
| 19 | 14 |
About Huili Yu
Huili Yu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications, having authored 19 papers that have together received 349 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (11 papers), Robotics and Sensor-Based Localization (10 papers) and Distributed Control Multi-Agent Systems (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (247 citations), Aerospace Engineering (245 citations) and Computer Networks and Communications (132 citations). Huili Yu has collaborated with scholars based in United States and China. Frequent co-authors include Randal W. Beard, Matthew E. Argyle, Kevin Meier, Randy Beard, Jeffrey Byrne, Rajnikant Sharma, Clark N. Taylor, He Bai, Kevin Seppi and Timothy W. McLain. Their work appears in journals such as IEEE Transactions on Control Systems Technology, IEEE/ASME Transactions on Mechatronics and Robotics and Autonomous 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.