Guodong Ren

1.9k total citations · 1 hit paper
37 papers, 1.7k citations indexed

About

Guodong Ren is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Guodong Ren has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistical and Nonlinear Physics, 28 papers in Cognitive Neuroscience and 13 papers in Computer Networks and Communications. Recurrent topics in Guodong Ren's work include stochastic dynamics and bifurcation (31 papers), Neural dynamics and brain function (28 papers) and Nonlinear Dynamics and Pattern Formation (13 papers). Guodong Ren is often cited by papers focused on stochastic dynamics and bifurcation (31 papers), Neural dynamics and brain function (28 papers) and Nonlinear Dynamics and Pattern Formation (13 papers). Guodong Ren collaborates with scholars based in China, Saudi Arabia and United States. Guodong Ren's co-authors include Jun Ma, Chunni Wang, Ying Xu, Xinlin Song, Mi Lv, Jun Tang, Feifei Yang, Fuqiang Wu, Ping Zhou and Tasawar Hayat and has published in prestigious journals such as PLoS ONE, Journal of Theoretical Biology and Physics Letters A.

In The Last Decade

Guodong Ren

36 papers receiving 1.6k citations

Hit Papers

Model of electrical activity in a neuron under magnetic f... 2016 2026 2019 2022 2016 100 200 300 400

Peers

Guodong Ren
Comparison fields: 5 of 56
  • Statistical and Nonlinear Physics 1.5k
  • Cognitive Neuroscience 1.2k
  • Computer Networks and Communications 730
  • Electrical and Electronic Engineering 545
  • Cellular and Molecular Neuroscience 295
Replace Xinlin Song with:
Xinlin Song China
Zhao Yao China
Mi Lv China
Lucia Valentina Gambuzza Italy
Bharathwaj Muthuswamy United States
Muhammet Uzuntarla Türkiye
Fernando Corinto Italy
J. L. Hindmarsh United Kingdom
Dong Yu China
Bin Deng China
Xinlin Song China View profile →
Citations per field, relative to Guodong Ren
Guodong Ren · 1×
Citations per year, relative to Guodong Ren
Guodong Ren · 1×

Countries citing papers authored by Guodong Ren

Since Specialization
Citations

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

Fields of papers citing papers by Guodong Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guodong Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Guodong Ren. A scholar is included among the top collaborators of Guodong Ren 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 Guodong Ren. Guodong Ren 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
# Work Indexed citations
1 2
2 9
3 0
4 14
5 10
6 45
7 32
8 12
9 16
10 27
11 18
12 21
13 55
14 65
15 116
16 48
17 92
18
Model of electrical activity in a neuron under magnetic flow effect breakdown →
441
19 30
20 15

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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