Liang’an Huo

1.6k total citations
82 papers, 1.2k citations indexed

About

Liang’an Huo is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Liang’an Huo has authored 82 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Statistical and Nonlinear Physics, 35 papers in Sociology and Political Science and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Liang’an Huo's work include Complex Network Analysis Techniques (75 papers), Opinion Dynamics and Social Influence (70 papers) and Misinformation and Its Impacts (25 papers). Liang’an Huo is often cited by papers focused on Complex Network Analysis Techniques (75 papers), Opinion Dynamics and Social Influence (70 papers) and Misinformation and Its Impacts (25 papers). Liang’an Huo collaborates with scholars based in China, Australia and Italy. Liang’an Huo's co-authors include Yingying Cheng, Laijun Zhao, Chen Liu, Sijing Chen, Li Wang, Chongjun Fan, Xing Fang, Fan Ding, Xiaohong Chen and Chunxiang Guo and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Liang’an Huo

73 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liang’an Huo China 22 983 466 280 136 112 82 1.2k
Xiu‐Xiu Zhan China 13 672 0.7× 144 0.3× 91 0.3× 118 0.9× 115 1.0× 33 844
Zhishuang Wang China 8 567 0.6× 158 0.3× 102 0.4× 343 2.5× 87 0.8× 10 774
Quantong Guo China 11 651 0.7× 150 0.3× 87 0.3× 290 2.1× 100 0.9× 13 835
Lorenzo Zino Italy 15 302 0.3× 136 0.3× 95 0.3× 238 1.8× 106 0.9× 69 648
Shaoting Tang China 14 389 0.4× 190 0.4× 52 0.2× 26 0.2× 82 0.7× 51 581
Ivan Romić Japan 5 189 0.2× 217 0.5× 75 0.3× 54 0.4× 45 0.4× 7 490
Daniel P. Mäki United States 10 308 0.3× 146 0.3× 82 0.3× 28 0.2× 43 0.4× 17 618
Ariel Cintrón-Arias United States 6 189 0.2× 122 0.3× 112 0.4× 129 0.9× 16 0.1× 11 511
Chris J. Kuhlman United States 15 250 0.3× 87 0.2× 21 0.1× 75 0.6× 56 0.5× 76 587

Countries citing papers authored by Liang’an Huo

Since Specialization
Citations

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

Fields of papers citing papers by Liang’an Huo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liang’an Huo. 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 Liang’an Huo. The network helps show where Liang’an Huo may publish in the future.

Co-authorship network of co-authors of Liang’an Huo

This figure shows the co-authorship network connecting the top 25 collaborators of Liang’an Huo. A scholar is included among the top collaborators of Liang’an Huo 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 Liang’an Huo. Liang’an Huo 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
1.
Huo, Liang’an, et al.. (2025). Adaptive rumor propagation and activity contagion in higher-order networks. Communications Physics. 8(1). 5 indexed citations
2.
Huo, Liang’an, et al.. (2025). A coupled UAU-DKD-SIQS model considering partial and complete mapping relationship in time-varying multiplex networks. Expert Systems with Applications. 273. 126887–126887. 3 indexed citations
3.
Huo, Liang’an, et al.. (2025). A co-evolutionary model of information, behavior, and epidemics in multiplex networks: Incorporating subjective and objective factors. Applied Mathematics and Computation. 499. 129406–129406.
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Huo, Liang’an, et al.. (2024). Co-evolution dynamics between information and epidemic with asymmetric activity levels and community structure in time-varying multiplex networks. Chaos Solitons & Fractals. 181. 114586–114586. 9 indexed citations
7.
Huo, Liang’an, et al.. (2024). A multi-scale mathematical model of rumor propagation considering both intra- and inter-individual dynamics. Chaos Solitons & Fractals. 185. 115065–115065. 2 indexed citations
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Huo, Liang’an, et al.. (2024). Considering individual game behavior and time delay in the multi-channel rumor propagation model. Communications in Theoretical Physics. 76(7). 75002–75002.
10.
Huo, Liang’an, et al.. (2024). A coupled model of information-epidemic considering heterogeneity in individual activity levels in multiple networks. Communications in Nonlinear Science and Numerical Simulation. 142. 108552–108552. 5 indexed citations
11.
Huo, Liang’an, et al.. (2024). Effects of official information diffusion and rumor-related behavior adoption on epidemic transmission in multiplex networks. Information Sciences. 689. 121414–121414. 8 indexed citations
12.
Huo, Liang’an, et al.. (2024). Impact of environmental factors on the coevolution of information–emotions–epidemic dynamics in activity-driven multiplex networks. Chinese Physics B. 33(12). 128903–128903. 3 indexed citations
13.
Huo, Liang’an, et al.. (2023). Impact of asymmetric activity on interactions between information diffusion and disease transmission in multiplex networks. Communications in Theoretical Physics. 75(7). 75001–75001. 7 indexed citations
14.
Huo, Liang’an, et al.. (2023). An improved ISR-WV rumor propagation model based on multichannels with time delay and pulse vaccination. Chinese Physics B. 32(7). 70205–70205. 5 indexed citations
15.
Huo, Liang’an, et al.. (2023). Study on the influence of the information diffusion and vaccination behavior on disease transmission in multiplex networks. Physica Scripta. 98(12). 125231–125231. 4 indexed citations
16.
Huo, Liang’an, Sijing Chen, & Laijun Zhao. (2021). Dynamic analysis of the rumor propagation model with consideration of the wise man and social reinforcement. Physica A Statistical Mechanics and its Applications. 571. 125828–125828. 27 indexed citations
17.
Huo, Liang’an & Sijing Chen. (2020). Rumor propagation model with consideration of scientific knowledge level and social reinforcement in heterogeneous network. Physica A Statistical Mechanics and its Applications. 559. 125063–125063. 31 indexed citations
18.
Huo, Liang’an, et al.. (2019). A new model for supply chain risk propagation considering herd mentality and risk preference under warning information on multiplex networks. Physica A Statistical Mechanics and its Applications. 545. 123506–123506. 36 indexed citations
19.
Cheng, Yingying, et al.. (2019). Dynamical behaviors and spatial diffusion in a psychologically realistic rumor spreading model. International Journal of Modern Physics C. 31(2). 2050034–2050034. 5 indexed citations
20.
Huo, Liang’an, et al.. (2016). Rumor spreading model considering the activity of spreaders in the homogeneous network. Physica A Statistical Mechanics and its Applications. 468. 855–865. 70 indexed citations

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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