Runan Guo

658 citations
26 papers · 544 · h-index 14

Impact in

Papers in

Runan Guo

24 papers receiving 537 citations

Peers

Runan Guo
Comparison fields: 5 of 53
  • Computer Networks and Communications 435
  • Statistical and Nonlinear Physics 160
  • Artificial Intelligence 150
  • Control and Systems Engineering 94
  • Electrical and Electronic Engineering 152
Replace Hongzhi Wei with:
Hongzhi Wei China
Jianhua Sun China
Bao Tong Cui China
C. Posadas–Castillo Mexico
Runhe Qiu China
Saber Jafarizadeh Japan
Madhav P. Desai India
K.-Y. Siu United States
Khaled Benkouider Algeria
Runan Guo relative to Hongzhi Wei China Hongzhi Wei's profile →
Citations per field
00.5×2.6×
Hongzhi Wei · 1×
Citations per year

Countries citing papers authored by Runan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Runan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201788
2 201855
3 201740
4 202239
5 201738
6 201935
7 202129
8 201727
9 202227
10 202025
11 201923
12 201815
13 202415
14 202115
15 201813
16 201911
17 202311
18 202210
19 202210
20 20206

About Runan Guo

Runan Guo is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 26 papers that have together received 544 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (20 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Distributed Control Multi-Agent Systems (8 papers), Advanced Memory and Neural Computing (8 papers), Neural Networks and Applications (7 papers), stochastic dynamics and bifurcation (5 papers), Chaos control and synchronization (3 papers) and Adaptive Control of Nonlinear Systems (2 papers). The work is most often cited by research in Computer Networks and Communications (435 citations), Statistical and Nonlinear Physics (160 citations), Artificial Intelligence (150 citations), Control and Systems Engineering (94 citations) and Electrical and Electronic Engineering (152 citations). Runan Guo has collaborated with scholars based in China, Canada and South Korea. Frequent co-authors include Xiaoping Liu, Chong Lin, Ziye Zhang, Shengyuan Xu, Ziye Zhang, Jian Guo, Junwei Lu, Choon Ki Ahn, Yongmin Li and Jian Chen. Their work appears in journals such as Neurocomputing, Nonlinear Dynamics, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Systems Journal and Applied Mathematics and Computation.

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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