Chunni Wang

5.5k total citations · 1 hit paper
132 papers, 4.8k citations indexed

About

Chunni Wang is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Chunni Wang has authored 132 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Statistical and Nonlinear Physics, 69 papers in Cognitive Neuroscience and 53 papers in Computer Networks and Communications. Recurrent topics in Chunni Wang's work include stochastic dynamics and bifurcation (76 papers), Neural dynamics and brain function (69 papers) and Nonlinear Dynamics and Pattern Formation (53 papers). Chunni Wang is often cited by papers focused on stochastic dynamics and bifurcation (76 papers), Neural dynamics and brain function (69 papers) and Nonlinear Dynamics and Pattern Formation (53 papers). Chunni Wang collaborates with scholars based in China, Saudi Arabia and United States. Chunni Wang's co-authors include Jun Ma, Guodong Ren, Wuyin Jin, Xinlin Song, Jun Tang, Ying Xu, Fuqiang Wu, Mi Lv, Zhao Yao and Ying Wu and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Chunni Wang

129 papers receiving 4.6k citations

Hit Papers

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

Peers

Chunni Wang
Comparison fields: 5 of 140
  • Statistical and Nonlinear Physics 3.3k
  • Cognitive Neuroscience 2.7k
  • Computer Networks and Communications 2.0k
  • Electrical and Electronic Engineering 1.0k
  • Cellular and Molecular Neuroscience 713
Replace Qingyun Wang with:
Qingyun Wang China
Ya Jia China
Lijian Yang China
Jianwei Shuai China
Alexey Zaikin United Kingdom
Gouhei Tanaka Japan
Mikhail Ivanchenko Russia
Zengrong Liu China
Chengliang Zhou China
Elizabeth M. Cherry United States
Qingyun Wang China View profile →
Citations per field, relative to Chunni Wang
Chunni Wang · 1×
Citations per year, relative to Chunni Wang
Chunni Wang · 1×

Countries citing papers authored by Chunni Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chunni Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunni Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chunni Wang. A scholar is included among the top collaborators of Chunni Wang 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 Chunni Wang. Chunni Wang 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 1
2 0
3 9
4 27
5 9
6 1
7 7
8 26
9 45
10 19
11 25
12 8
13 84
14 19
15 92
16 89
17 145
18 37
19 140
20
Model of electrical activity in a neuron under magnetic flow effect breakdown →
441

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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