Miao Liu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Automotive Engineering top 5%
- Ocean Engineering top 5%
- Co-authors
- Jonathan P. HowYu Fan ChenMichael EverettGirish ChowdharyShih‐Yuan LiuBin LiShuai GaoZuoyi Zhang
- Topics
- Industrial Technology and Control Systems (5 papers)Microgrid Control and Optimization (4 papers)Target Tracking and Data Fusion in Sensor Networks (4 papers)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Miao Liu
25 papers receiving 678 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 343
- Artificial Intelligence 307
- Control and Systems Engineering 186
- Automotive Engineering 173
- Ocean Engineering 161
Countries citing papers authored by Miao Liu
This map shows the geographic impact of Miao 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 Miao Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miao Liu more than expected).
Fields of papers citing papers by Miao Liu
This network shows the impact of papers produced by Miao 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 Miao Liu. The network helps show where Miao Liu may publish in the future.
Co-authorship network of co-authors of Miao Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Miao Liu. A scholar is included among the top collaborators of Miao 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 Miao Liu. Miao 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 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 26 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 65 | |
| 12 | Socially aware motion planning with deep reinforcement learningbreakdown → | 463 |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 12 | |
| 16 | 17 | |
| 17 | 15 | |
| 18 | 2 | |
| 19 | Analyse of Cooperate with Simulation base on Modelsim FLI | 0 |
| 20 | Real-time Analysis of Embedded CNC System Based on uCOS-II | 7 |
About Miao Liu
Miao Liu is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Artificial Intelligence, having authored 33 papers that have together received 707 indexed citations. Recurring topics across this work include Industrial Technology and Control Systems (5 papers), Microgrid Control and Optimization (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (343 citations), Automotive Engineering (173 citations) and Ocean Engineering (161 citations). Miao Liu has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Jonathan P. How, Yu Fan Chen, Michael Everett, Girish Chowdhary, Shih‐Yuan Liu, Bin Li, Shuai Gao, Zuoyi Zhang, Shayegan Omidshafiei and Xiaojin Huang. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Energy.
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.