Kangkang Wang

1.2k citations
67 papers · 685 indexed · h-index 15

Kangkang Wang

61 papers receiving 669 citations

Peers

Kangkang Wang
Comparison fields: 5 of 91
  • Statistical and Nonlinear Physics 217
  • Industrial and Manufacturing Engineering 126
  • Pollution 166
  • Statistics, Probability and Uncertainty 58
  • Global and Planetary Change 109
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Xinyu Zhang China
Róbert Kovács Hungary
Ying Ding China
Markos Avlonitis Greece
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Citations per field
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Citations per year

Countries citing papers authored by Kangkang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kangkang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 202425
4 202410
5 202335
6 202334
7 20230
8 20222
9 20197
10 201819
11 201610
12 20153
13 20141
14 20132
15 201215
16
A class of strong limit theorems on generalized gambling system for arbitrary continuous random variable sequence
20081
17
A Class of Strong Limit Theorems for Random Sum of Three-order Countable Nonhomogeneous Markov Chains
20072
18
Strong Large Number Law for Markov Chains Field on Arbitrary Cayley Tree
20062
19
Research on Strong Limit Theorem for Cantor-like Stochastic Sequence
20062
20
Research on Strong Limit Theorems for Cantor-like Nonhomogeneous Markov Chains
20061

About Kangkang Wang

Kangkang Wang is a scholar working on Statistical and Nonlinear Physics, Industrial and Manufacturing Engineering and Global and Planetary Change, having authored 67 papers that have together received 685 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (34 papers), Ecosystem dynamics and resilience (25 papers), Nonlinear Dynamics and Pattern Formation (14 papers), Microplastics and Plastic Pollution (12 papers), Recycling and Waste Management Techniques (12 papers), Diffusion and Search Dynamics (12 papers), biodegradable polymer synthesis and properties (4 papers) and Remote Sensing in Agriculture (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (217 citations), Industrial and Manufacturing Engineering (126 citations) and Pollution (166 citations). Kangkang Wang has collaborated with scholars based in China, Norway and United States. Frequent co-authors include Changyan Guo, Shenghong Li, Jide Wang, Yajun Wang, Kefu Wang, Wei Wang, Xianbin Liu, Xia Yao, Yan Zhu and Shenghong Li. Their work appears in journals such as Langmuir, Scientific Reports and Chemosphere.

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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