Keqin Gu

5.3k citations
97 papers · 3.9k indexed · 2 hit papers · h-index 25

Keqin Gu

94 papers receiving 3.8k citations

Hit Papers

Survey on Recent Results in the Stability and Control of ...49220022026201020184008001.2k

Peers

Keqin Gu
Comparison fields: 5 of 88
  • Control and Systems Engineering 3.0k
  • Computer Networks and Communications 1.9k
  • Numerical Analysis 336
  • Computational Theory and Mathematics 745
  • Statistical and Nonlinear Physics 513
Replace Keqin Gu with:
Keqin Gu United States
Rafal Goebel United States
P. Dorato United States
Ettore Fornasini Italy
Vladimir L. Kharitonov Mexico
Yury Orlov Mexico
Maria Elena Valcher Italy
Sabine Mondié Mexico
Frédéric Mazenc France
Sanjay P. Bhat India
Keqin Gu relative to Keqin Gu United States Keqin Gu's profile →
Citations per field
00.5×1.5×
Keqin Gu · 1×
Citations per year

Countries citing papers authored by Keqin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Keqin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 20192
3 20192
4 20183
5 20177
6 201436
7 20147
8 20113
9 201045
10
Discretized Lyapunov-Krasovskii functional method for coupled differential-functional equations with discrete and distributed delays
20094
11 200614
12 2005262
13 20036
14 200372
15
Time Delay Systems
20027
16
An integral inequality in the stability problem of time-delay systemsbreakdown →
20021217
17 20023
18
Discretization schemes for Lyapunov-Krasovskii functionals in time-delay systems
200129
19 19999
20 199941

About Keqin Gu

Keqin Gu is a scholar working on Numerical Analysis, Control and Systems Engineering and Computational Theory and Mathematics, having authored 97 papers that have together received 3.9k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (65 papers), Stability and Controllability of Differential Equations (32 papers), Numerical methods for differential equations (29 papers), Matrix Theory and Algorithms (19 papers), Control Systems and Identification (14 papers), Advanced Control Systems Optimization (13 papers), Advanced Differential Equations and Dynamical Systems (11 papers) and Adaptive Control of Nonlinear Systems (9 papers). The work is most often cited by research in Control and Systems Engineering (3.0k citations), Computer Networks and Communications (1.9k citations) and Numerical Analysis (336 citations). Keqin Gu has collaborated with scholars based in United States, France and China. Frequent co-authors include Silviu‐Iulian Niculescu, Qing‐Long Han, Jie Chen, Yi Liu, Shengyuan Xu, Albert C. J. Luo, V.B. Kolmanovskii, Hongfei Li, Irinel‐Constantin Morărescu and Benson H. Tongue. Their work appears in journals such as IEEE Transactions on Automatic Control, 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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