Guoyong Shi

1.4k citations
133 papers · 903 indexed · h-index 16
Topics
Low-power high-performance VLSI design (63 papers)VLSI and FPGA Design Techniques (46 papers)VLSI and Analog Circuit Testing (40 papers)

In The Last Decade

Guoyong Shi

125 papers receiving 876 citations

Peers

Guoyong Shi
Comparison fields: 5 of 57
  • Electrical and Electronic Engineering 577
  • Hardware and Architecture 295
  • Control and Systems Engineering 209
  • Computational Theory and Mathematics 137
  • Biomedical Engineering 107
Replace Wu‐Shiung Feng with:
Wu‐Shiung Feng Taiwan
Hai Wang China
Yici Cai China
Zuochang Ye China
Mark R. Greenstreet Canada
Ieee Circuits
C. Visweswariah United States
I.N. Hajj United States
Haifeng Qian United States
An‐Chang Deng United States
Guoyong Shi relative to Wu‐Shiung Feng Taiwan Wu‐Shiung Feng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Guoyong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Guoyong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoyong Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Guoyong Shi. A scholar is included among the top collaborators of Guoyong Shi 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 Guoyong Shi. Guoyong Shi 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
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Symbolic techniques for statistical timing analysis of RCL mesh networks with resistor loops
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15
A Model Order Reduction Algorithm Using Observability Canonical Form
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16
External stability of a double integrator with saturated linear control laws
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17 6
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On achieving Lp ( p) performance with global internal stability for linear plants with saturating actuators
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A Method for Constructing Genetic Algorithm in Job Shop Problems
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About Guoyong Shi

Guoyong Shi is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Numerical Analysis, having authored 133 papers that have together received 903 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (63 papers), VLSI and FPGA Design Techniques (46 papers) and VLSI and Analog Circuit Testing (40 papers). The work is most often cited by research in Hardware and Architecture (295 citations), Electrical and Electronic Engineering (577 citations) and Control and Systems Engineering (209 citations). Guoyong Shi has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Ali Saberi, Anton A. Stoorvogel, Sheldon X.-D. Tan, C.‐J. Richard Shi, Peddapullaiah Sannuti, Hai Wang, Kai He, Esteban Tlelo‐Cuautle, Weiwei Chen and Nobuo Sannomiya. Their work appears in journals such as Scientific Reports, Automatica and IEEE Access.

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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