Guanrui Li

667 citations
25 papers · 466 · h-index 9

Impact in

Papers in

Guanrui Li

20 papers receiving 463 citations

Peers

Guanrui Li
Comparison fields: 5 of 50
  • Computer Vision and Pattern Recognition 150
  • Aerospace Engineering 126
  • Control and Systems Engineering 113
  • Computer Networks and Communications 99
  • Polymers and Plastics 56
Replace Chen-Huan Pi with:
Chen-Huan Pi Taiwan
Xueyuan Wang China
Meilin Li China
Zhaoyue Xia China
Zilin Yang Singapore
Jingfan Zhang China
Suqin He China
Yifei Pan China
Yu-Chi Lin Taiwan
Seung‐Woo Ko South Korea
Guanrui Li relative to Chen-Huan Pi Taiwan Chen-Huan Pi's profile →
Citations per field
00.5×5.5×
Chen-Huan Pi · 1×
Citations per year

Countries citing papers authored by Guanrui Li

Since Specialization
Citations

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

Fields of papers citing papers by Guanrui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Guanrui Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guanrui Li Line = papers co-authored together Guanrui Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021141
2 201896
3 202156
4 201939
5 202121
6 202318
7 202018
8 202317
9 202116
10 20228
11 20236
12 20226
13 20205
14 20244
15 20244
16 20233
17 20252
18 20242
19 20242
20 20252

About Guanrui Li

Guanrui Li is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Biomedical Engineering and Mechanical Engineering, having authored 25 papers that have together received 466 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (11 papers), Robotics and Sensor-Based Localization (7 papers), Adaptive Control of Nonlinear Systems (4 papers), Modular Robots and Swarm Intelligence (3 papers), Robotic Locomotion and Control (3 papers), Control and Dynamics of Mobile Robots (3 papers), Distributed Control Multi-Agent Systems (3 papers) and Polymer Surface Interaction Studies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (150 citations), Aerospace Engineering (126 citations), Control and Systems Engineering (113 citations), Computer Networks and Communications (99 citations) and Polymers and Plastics (56 citations). Guanrui Li has collaborated with scholars based in United States, China and United Arab Emirates. Frequent co-authors include Giuseppe Loianno, Mark Yim, David Saldaña, Vijay Kumar, Liwei Mi, Qi Qin, Qian Li, Guoqiang Zheng, Xianhu Liu and Chuntai Liu. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, Robotics and Autonomous Systems, AIChE Journal and Soft Matter.

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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