Gangfeng Liu

998 citations
97 papers · 683 indexed · h-index 15
Topics
Soft Robotics and Applications (22 papers)Robotic Locomotion and Control (19 papers)Robot Manipulation and Learning (12 papers)
Partner nations
ChinaJapanNetherlands

In The Last Decade

Gangfeng Liu

87 papers receiving 671 citations

Peers

Gangfeng Liu
Comparison fields: 5 of 97
  • Biomedical Engineering 308
  • Mechanical Engineering 265
  • Aerospace Engineering 133
  • Control and Systems Engineering 111
  • Electrical and Electronic Engineering 97
Replace Tao Mei with:
Tao Mei China
Wenjie Ge China
André Rosendo China
Pham H. Nguyen United States
Guangping He China
Jin Guo China
Gareth J. Bennett Ireland
Kun Bai China
M. Moshrefi‐Torbati United Kingdom
Hwa Soo Kim South Korea
Gangfeng Liu relative to Tao Mei China Tao Mei's profile →
Citations per field
00.5×1.6×
Tao Mei · 1×
Citations per year

Countries citing papers authored by Gangfeng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Gangfeng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gangfeng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Gangfeng Liu. A scholar is included among the top collaborators of Gangfeng 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 Gangfeng Liu. Gangfeng Liu 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 3
8 1
9 1
10 4
11 2
12 59
13 5
14 18
15 8
16 16
17 34
18
Research on the parallel text clustering algorithm based on the semantic tree
3
19
Multi-robot system for search and exploration in the underground mine disasters based on WSN
2
20 1

About Gangfeng Liu

Gangfeng Liu is a scholar working on Control and Systems Engineering, Aerospace Engineering and Biomedical Engineering, having authored 97 papers that have together received 683 indexed citations. Recurring topics across this work include Soft Robotics and Applications (22 papers), Robotic Locomotion and Control (19 papers) and Robot Manipulation and Learning (12 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (62 citations), Mechanical Engineering (265 citations) and Biomedical Engineering (308 citations). Gangfeng Liu has collaborated with scholars based in China, Japan and Netherlands. Frequent co-authors include Jie Zhao, Jihong Yan, Xuehe Zhang, Jizhuang Fan, Yanhe Zhu, Xizhe Zang, Shuji Owada, Chao Zhang, Guoan Zhang and Ge Li. Their work appears in journals such as The Journal of Immunology, IEEE Transactions on Industrial Electronics and Nanoscale.

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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