Guangjun Liu

7.5k citations
289 papers · 5.7k indexed · h-index 38

Impact in

Papers in

Guangjun Liu

271 papers receiving 5.6k citations

Peers

Guangjun Liu
Comparison fields: 5 of 137
  • Control and Systems Engineering 3.4k
  • Civil and Structural Engineering 885
  • Automotive Engineering 408
  • Mechanical Engineering 1.2k
  • Computer Vision and Pattern Recognition 609
Replace Jan Swevers with:
Jan Swevers Belgium
Yigang He China
Xianmin Zhang China
Andreas Kugi Austria
Liang Ding China
Jiawei Xiang China
Bin Yao United States
H. Sira‐Ramírez Mexico
Ning Sun China
Jian‐Qiao Sun United States
Guangjun Liu relative to Jan Swevers Belgium Jan Swevers's profile →
Citations per field
00.5×1.5×
Jan Swevers · 1×
Citations per year

Countries citing papers authored by Guangjun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Guangjun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Guangjun Liu, 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 Guangjun Liu Line = papers co-authored together Guangjun Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202410
3 20231
4 20233
5 20238
6 20237
7 202237
8 202216
9 202215
10 202216
11 202219
12 202123
13 202122
14 20217
15 202067
16 20181
17
Modeling of a Class of Nonlinear Dynamic System
20143
18 201116
19
GPS signal tracking performance in spinning state
20090
20
Study on Experiment Analysis and Density Function of Cutting Force During Face Milling
20040

About Guangjun Liu

Guangjun Liu is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Aerospace Engineering and Civil and Structural Engineering, having authored 289 papers that have together received 5.7k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (39 papers), Modular Robots and Swarm Intelligence (37 papers), Adaptive Control of Nonlinear Systems (32 papers), Robotic Locomotion and Control (32 papers), Robotic Path Planning Algorithms (29 papers), Soil Mechanics and Vehicle Dynamics (26 papers), Fault Detection and Control Systems (25 papers) and Hydraulic and Pneumatic Systems (24 papers). The work is most often cited by research in Control and Systems Engineering (3.4k citations), Civil and Structural Engineering (885 citations), Automotive Engineering (408 citations), Mechanical Engineering (1.2k citations) and Computer Vision and Pattern Recognition (609 citations). Guangjun Liu has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Peter Liu, Feng Ding, Liang Ding, Maral Partovibakhsh, Haibo Gao, Zongquan Deng, A.A. Goldenberg, Jianda Han, Feng Ding and Yugang Liu. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Control Systems Technology, IEEE Transactions on Robotics, Robotica 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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