G. Guo

552 citations
37 papers · 380 · h-index 12

Impact in

Papers in

    • Iterative Learning Control Systems 22
    • Adaptive Control of Nonlinear Systems 7
    • Stability and Control of Uncertain Systems 5
    • Extremum Seeking Control Systems 3
    • Advanced Measurement and Metrology Techniques 9
    • Tribology and Lubrication Engineering 9

G. Guo

33 papers receiving 366 citations

Peers

G. Guo
Comparison fields: 5 of 35
  • Control and Systems Engineering 320
  • Mechanical Engineering 128
  • Electrical and Electronic Engineering 96
  • Energy Engineering and Power Technology 5
  • Computer Networks and Communications 36
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W. Mansour Egypt
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Citations per field
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Citations per year

Countries citing papers authored by G. Guo

Since Specialization
Citations

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

Fields of papers citing papers by G. Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200050
2 200042
3 200236
4 200633
5 200628
6 200725
7 200517
8 199616
9 199315
10 202314
11 200512
12 202411
13 20049
14
Venturi pressure cannot cause cavitation in mechanical heart valve prostheses.
19928
15 20257
16 20037
17 20066
18 20055
19 20035
20 20235

About G. Guo

G. Guo is a scholar working on Control and Systems Engineering, Mechanical Engineering, Computer Networks and Communications, Mechanics of Materials and Electrical and Electronic Engineering, having authored 37 papers that have together received 380 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (22 papers), Advanced Measurement and Metrology Techniques (9 papers), Tribology and Lubrication Engineering (9 papers), Adaptive Control of Nonlinear Systems (7 papers), Adhesion, Friction, and Surface Interactions (6 papers), Stability and Control of Uncertain Systems (5 papers), Distributed Control Multi-Agent Systems (5 papers) and Extremum Seeking Control Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (320 citations), Mechanical Engineering (128 citations), Electrical and Electronic Engineering (96 citations), Energy Engineering and Power Technology (5 citations) and Computer Networks and Communications (36 citations). G. Guo has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Yu Wang, Lihua Xie, Branislav Hredzak, Chunling Du, Shaojun Xie, Guido Herrmann, Y. Wang, Yu Tan, Jinchuan Zheng and J. Zhang. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, IEEE Transactions on Magnetics, Asian Journal of Control, IEEE Transactions on Instrumentation and Measurement and IEEE Transactions on Automation Science and Engineering.

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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