Guoming Liu

652 citations
15 papers · 89 indexed · h-index 6
Topics
Robotic Path Planning Algorithms (4 papers)Particle physics theoretical and experimental studies (3 papers)Particle Detector Development and Performance (3 papers)
Partner nations
ChinaSwitzerlandItaly

In The Last Decade

Guoming Liu

12 papers receiving 81 citations

Peers

Guoming Liu
Comparison fields: 5 of 27
  • Nuclear and High Energy Physics 26
  • Computer Vision and Pattern Recognition 22
  • Aerospace Engineering 21
  • Computational Theory and Mathematics 20
  • Numerical Analysis 14
Replace Steven N. Williams with:
Steven N. Williams United States
Clyde C. W. Robson Sweden
S. D’Angelo Italy
Simone Brugiapaglia Canada
Philipp Petersen Austria
Renaud-Alexandre Pitaval Sweden
Robert M. Gower United States
J. W. Schumacher Switzerland
Niklas Koep Germany
Guoming Liu relative to Steven N. Williams United States Steven N. Williams's profile →
Citations per field
00.5×6.5×
Steven N. Williams · 1×
Citations per year

Countries citing papers authored by Guoming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Guoming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoming Liu

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 15
3 1
4 4
5 0
6 6
7 18
8
Local Path Planning of Mobile Robot Based on Artificial Potential Field
2
9 15
10 1
11 1
12 3
13 0
14 11
15 12

About Guoming Liu

Guoming Liu is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 89 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (4 papers), Particle physics theoretical and experimental studies (3 papers) and Particle Detector Development and Performance (3 papers). The work is most often cited by research in Numerical Analysis (14 citations), Nuclear and High Energy Physics (26 citations) and Computational Theory and Mathematics (20 citations). Guoming Liu has collaborated with scholars based in China, Switzerland and Italy. Frequent co-authors include Yifeng Xue, Guoliang Chen, Nicolas Pons, Caihong Li, Na Guo, Di Wang, Yong Song, Yongdi Li, Ming Gong and Niko Neufeld. Their work appears in journals such as Redox Biology, Applied Mathematics and Computation and Physical review. D.

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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