Maokang Luo

2.0k citations
113 papers · 1.6k indexed · 1 hit paper · h-index 21
Topics
stochastic dynamics and bifurcation (49 papers)Fractional Differential Equations Solutions (25 papers)Nonlinear Dynamics and Pattern Formation (22 papers)

In The Last Decade

Maokang Luo

107 papers receiving 1.5k citations

Hit Papers

General conformable fractional derivative and its physica...20172026202020232017100200300

Peers

Maokang Luo
Comparison fields: 5 of 89
  • Statistical and Nonlinear Physics 733
  • Modeling and Simulation 666
  • Computer Networks and Communications 310
  • Applied Mathematics 310
  • Numerical Analysis 192
Replace Michele Pavon with:
Michele Pavon Italy
A. V. Balakrishnan United States
J. C. Mason United Kingdom
Mark A. Pinsky United States
A. J. Pritchard United Kingdom
Stevan Pilipović Serbia
Guillermo Fernández‐Anaya Mexico
Klaus‐Jochen Engel Italy
Qigui Yang China
Maokang Luo relative to Michele Pavon Italy Michele Pavon's profile →
Citations per field
00.5×8.0×
Michele Pavon · 1×
Citations per year

Countries citing papers authored by Maokang Luo

Since Specialization
Citations

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

Fields of papers citing papers by Maokang Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maokang Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Maokang Luo. A scholar is included among the top collaborators of Maokang Luo 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 Maokang Luo. Maokang Luo 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
#WorkIndexed citations
1 5
2 2
3 6
4 3
5 1
6 2
7 5
8 5
9 9
10 5
11 22
12 18
13 7
14 3
15 37
16 1
17 2
18 2
19 5
20 6

About Maokang Luo

Maokang Luo is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty, having authored 113 papers that have together received 1.6k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (49 papers), Fractional Differential Equations Solutions (25 papers) and Nonlinear Dynamics and Pattern Formation (22 papers). The work is most often cited by research in Modeling and Simulation (666 citations), Statistical and Nonlinear Physics (733 citations) and Numerical Analysis (192 citations). Maokang Luo has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Dazhi Zhao, Tao Yu, Ke Deng, Guo–Cheng Wu, Lan–Lan Huang, Lu Zhang, Santo Banerjee, Zhichao Zhang, Yan Tian and Liu Ying-ming. Their work appears in journals such as Energy, Information Sciences and Fuzzy Sets and Systems.

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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