Zuolei Wang

1.2k citations
68 papers · 910 indexed · h-index 19

Impact in

Papers in

Zuolei Wang

63 papers receiving 879 citations

Peers

Zuolei Wang
Comparison fields: 5 of 54
  • Statistical and Nonlinear Physics 677
  • Computer Networks and Communications 656
  • Modeling and Simulation 79
  • Cognitive Neuroscience 157
  • Numerical Analysis 20
Replace Dawid Dudkowski with:
Dawid Dudkowski Poland
François Béceau Pelap Cameroon
R. Jaimes-Reátegui Mexico
Zhenkun Huang China
G. Huerta-Cuéllar Mexico
K. Thamilmaran India
P. Arena Italy
Paulo C. Rech Brazil
Longkun Tang China
René Lozi France
Zuolei Wang relative to Dawid Dudkowski Poland Dawid Dudkowski's profile →
Citations per field
00.5×1.5×2.2×
Dawid Dudkowski · 1×
Citations per year

Countries citing papers authored by Zuolei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zuolei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202413
3 20242
4 20242
5 20240
6 20240
7 20231
8 20211
9 202118
10 20213
11 20218
12 20211
13 20206
14 202016
15 201913
16 201935
17 201821
18 201720
19 20153
20
NONLINEAR EXTENSION MULTI-FACTORIAL EVALUATION METHOD OF SOIL HEAVY METAL POLLUTION
20042

About Zuolei Wang

Zuolei Wang is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Modeling and Simulation, Cognitive Neuroscience and Oceanography, having authored 68 papers that have together received 910 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (41 papers), Neural Networks Stability and Synchronization (32 papers), Chaos control and synchronization (30 papers), stochastic dynamics and bifurcation (29 papers), Neural dynamics and brain function (12 papers), Chaos-based Image/Signal Encryption (6 papers), Geophysics and Gravity Measurements (5 papers) and Inertial Sensor and Navigation (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (677 citations), Computer Networks and Communications (656 citations), Modeling and Simulation (79 citations), Cognitive Neuroscience (157 citations) and Numerical Analysis (20 citations). Zuolei Wang has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Xuerong Shi, Hongli Li, Yao‐Lin Jiang, Cheng Hu, Zhidong Teng, Long Zhang, Fanqi Meng, Xiaoqin Zeng, Jinde Cao and Lixin Han. Their work appears in journals such as Nonlinear Dynamics, Applied Mathematics and Computation, International Journal of Modern Physics A, Complexity and Chaos Solitons & Fractals.

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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