Yeguo Sun

567 citations
46 papers · 464 · h-index 12

Impact in

Papers in

Yeguo Sun

41 papers receiving 459 citations

Peers

Yeguo Sun
Comparison fields: 5 of 35
  • Statistical and Nonlinear Physics 152
  • Control and Systems Engineering 273
  • Computer Networks and Communications 249
  • Modeling and Simulation 18
  • Artificial Intelligence 123
Replace Zengyun Wang with:
Zengyun Wang China
Long‐Yeu Chung Taiwan
Yanjun Shu China
Mingang Hua China
Fengqi Yao China
A. Bouzeriba Algeria
Xuegang Tan China
Ramasamy Kavikumar South Korea
Jin Bae Park South Korea
Ganesh Kumar Thakur India
Yeguo Sun relative to Zengyun Wang China Zengyun Wang's profile →
Citations per field
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Zengyun Wang · 1×
Citations per year

Countries citing papers authored by Yeguo Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yeguo Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Yeguo Sun, 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 Yeguo Sun Line = papers co-authored together Yeguo Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018101
2 201548
3 201536
4 201134
5 201124
6 201024
7 201522
8 201120
9 202017
10 201214
11 202211
12 202211
13 202111
14 202010
15 201310
16 20249
17 20147
18 20174
19 20094
20 20104

About Yeguo Sun

Yeguo Sun is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Statistical and Nonlinear Physics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 46 papers that have together received 464 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (21 papers), Stability and Control of Uncertain Systems (15 papers), Chaos control and synchronization (13 papers), Adaptive Control of Nonlinear Systems (12 papers), Neural Networks and Applications (7 papers), Control and Stability of Dynamical Systems (6 papers), Distributed Control Multi-Agent Systems (6 papers) and Fuzzy Logic and Control Systems (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (152 citations), Control and Systems Engineering (273 citations), Computer Networks and Communications (249 citations), Modeling and Simulation (18 citations) and Artificial Intelligence (123 citations). Yeguo Sun has collaborated with scholars based in China and Philippines. Frequent co-authors include Shiyin Qin, Heng Liu, Hongxing Wang, Sheng-Gang Li, Ling Li, Guanjun Li, Wei Xiang, Ling Li, Ning Li and Xin Ma. Their work appears in journals such as IEEE Access, Materials Letters, International Journal of Systems Science, Journal of Control Science and Engineering and Neural Processing Letters.

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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