Chuang Ma

1.7k citations
86 papers · 1.2k · 1 hit paper · h-index 18

Impact in

Papers in

Chuang Ma

82 papers receiving 1.2k citations

Hit Papers

Identifying influential spreaders in complex networks based on gravity formula 2016 · 248 citations
2480+3+6Years since publication50100150200

Peers

Chuang Ma
Comparison fields: 5 of 122
  • Statistical and Nonlinear Physics 644
  • Modeling and Simulation 58
  • Experimental and Cognitive Psychology 118
  • Computer Networks and Communications 154
  • Artificial Intelligence 194
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Chuang Liu China
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Chuang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chuang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identifying influential spreaders in complex networks based on gravity formula
Hit paper breakdown →
2016248
2 202265
3 202347
4 202343
5 201843
6 202239
7 201639
8 201739
9 202138
10 201637
11 202034
12 201829
13 202126
14 201425
15 201919
16 202219
17 201718
18 202417
19 202416
20 202315

About Chuang Ma

Chuang Ma is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Molecular Biology, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (27 papers), Opinion Dynamics and Social Influence (15 papers), Bioinformatics and Genomic Networks (8 papers), Advanced Graph Neural Networks (6 papers), Privacy-Preserving Technologies in Data (4 papers), Mental Health Research Topics (4 papers), Solar-Powered Water Purification Methods (3 papers) and Smart Grid Security and Resilience (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (644 citations), Modeling and Simulation (58 citations), Experimental and Cognitive Psychology (118 citations), Computer Networks and Communications (154 citations) and Artificial Intelligence (194 citations). Chuang Ma has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Haifeng Zhang, Bing-Hong Wang, Hanshuang Chen, Huan Wang, Ying‐Cheng Lai, Hai-Feng Zhang, Tao Zhou, Peican Zhu, Cheng Fang and Xiao Ding. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Computers and Electronics in Agriculture, Physica A Statistical Mechanics and its Applications, Physical review. E and Scientific Reports.

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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