Xuesu Xiao

2.1k citations
81 papers · 1.1k indexed · h-index 20
Topics
Robotic Path Planning Algorithms (39 papers)Robotics and Sensor-Based Localization (24 papers)Reinforcement Learning in Robotics (12 papers)

In The Last Decade

Xuesu Xiao

68 papers receiving 1.1k citations

Peers

Xuesu Xiao
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 680
  • Aerospace Engineering 384
  • Artificial Intelligence 273
  • Control and Systems Engineering 254
  • Biomedical Engineering 165
Replace Garrett Warnell with:
Garrett Warnell United States
Luciano Spinello Germany
José Luis Sánchez-López Luxembourg
Abhinav Valada Germany
Michael Everett United States
Wenzheng Chi China
Hriday Bavle Spain
Nicola Tomatis Switzerland
John G. Rogers United States
Tin Lun Lam China
Xuesu Xiao relative to Garrett Warnell United States Garrett Warnell's profile →
Citations per field
00.5×1.5×2.1×
Garrett Warnell · 1×
Citations per year

Countries citing papers authored by Xuesu Xiao

Since Specialization
Citations

This map shows the geographic impact of Xuesu Xiao'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 Xuesu Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuesu Xiao more than expected).

Fields of papers citing papers by Xuesu Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xuesu Xiao. 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 Xuesu Xiao. The network helps show where Xuesu Xiao may publish in the future.

Co-authorship network of co-authors of Xuesu Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Xuesu Xiao. A scholar is included among the top collaborators of Xuesu Xiao 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 Xuesu Xiao. Xuesu Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 5
9 15
10 13
11 6
12 33
13 8
14 64
15 34
16 30
17 23
18 60
19 45
20 43

About Xuesu Xiao

Xuesu Xiao is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering, having authored 81 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (39 papers), Robotics and Sensor-Based Localization (24 papers) and Reinforcement Learning in Robotics (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (680 citations), Aerospace Engineering (384 citations) and Control and Systems Engineering (254 citations). Xuesu Xiao has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Peter Stone, Garrett Warnell, Bo Liu, Robin R. Murphy, Jan Dufek, Joydeep Biswas, Zizhao Wang, Haresh Karnan, Zifan Xu and Aniket Datar. Their work appears in journals such as Robotics and Autonomous Systems, Autonomous Robots and IEEE Robotics and Automation Letters.

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.

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