Hanshuang Chen

1.4k total citations
70 papers, 1.1k citations indexed

About

Hanshuang Chen is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Condensed Matter Physics. According to data from OpenAlex, Hanshuang Chen has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Statistical and Nonlinear Physics, 22 papers in Molecular Biology and 14 papers in Condensed Matter Physics. Recurrent topics in Hanshuang Chen's work include Complex Network Analysis Techniques (35 papers), Opinion Dynamics and Social Influence (28 papers) and stochastic dynamics and bifurcation (18 papers). Hanshuang Chen is often cited by papers focused on Complex Network Analysis Techniques (35 papers), Opinion Dynamics and Social Influence (28 papers) and stochastic dynamics and bifurcation (18 papers). Hanshuang Chen collaborates with scholars based in China, United States and Germany. Hanshuang Chen's co-authors include Gang He, Xiaohong Chen, Zhonghuai Hou, Haifeng Zhang, Chuang Ma, Zhaoqi Sun, Chuansheng Shen, Juan Gao, Jiqian Zhang and Jingbiao Cui and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and ACS Applied Materials & Interfaces.

In The Last Decade

Hanshuang Chen

65 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanshuang Chen China 18 548 405 239 161 153 70 1.1k
Dominique Persano Adorno Italy 14 248 0.5× 160 0.4× 51 0.2× 143 0.9× 66 0.4× 81 764
Д. В. Гусейнов Russia 14 222 0.4× 561 1.4× 105 0.4× 29 0.2× 71 0.5× 52 855
Alexey Mikhaylov Russia 21 346 0.6× 1.6k 3.9× 503 2.1× 41 0.3× 112 0.7× 165 2.2k
Naohiko Inaba Japan 22 723 1.3× 124 0.3× 99 0.4× 75 0.5× 686 4.5× 130 1.4k
F. A. B. F. de Moura Brazil 22 652 1.2× 295 0.7× 208 0.9× 199 1.2× 74 0.5× 127 2.3k
Mads Ipsen Germany 12 185 0.3× 110 0.3× 118 0.5× 72 0.4× 238 1.6× 16 525
Д. О. Филатов Russia 10 147 0.3× 435 1.1× 159 0.7× 27 0.2× 48 0.3× 105 674
N. V. Agudov Russia 16 759 1.4× 410 1.0× 22 0.1× 152 0.9× 239 1.6× 25 1.2k
Luca Donetti Spain 14 184 0.3× 501 1.2× 100 0.4× 71 0.4× 189 1.2× 72 932
О. Н. Горшков Russia 17 185 0.3× 795 2.0× 221 0.9× 32 0.2× 58 0.4× 103 1.0k

Countries citing papers authored by Hanshuang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hanshuang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanshuang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hanshuang Chen. A scholar is included among the top collaborators of Hanshuang Chen 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 Hanshuang Chen. Hanshuang Chen 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.
Shen, Chuansheng, et al.. (2024). Epidemic extinction in a simplicial susceptible-infected-susceptible model. Journal of Statistical Mechanics Theory and Experiment. 2024(1). 13203–13203. 2 indexed citations
2.
Yan, Hao, et al.. (2024). Extremal statistics for first-passage trajectories of drifted Brownian motion under stochastic resetting. Journal of Statistical Mechanics Theory and Experiment. 2024(2). 23209–23209. 3 indexed citations
3.
Chen, Hanshuang, et al.. (2023). Extremal statistics for a one-dimensional Brownian motion with a reflective boundary. Physica A Statistical Mechanics and its Applications. 633. 129389–129389. 2 indexed citations
4.
Chen, Hanshuang, et al.. (2022). Non-equilibrium random walks on multiplex networks. Journal of Statistical Mechanics Theory and Experiment. 2022(10). 103404–103404.
5.
Chen, Hanshuang, et al.. (2022). First passage in discrete-time absorbing Markov chains under stochastic resetting. Journal of Physics A Mathematical and Theoretical. 55(38). 384005–384005. 4 indexed citations
6.
Chen, Hanshuang, et al.. (2022). Random walks on complex networks under node-dependent stochastic resetting. Journal of Statistical Mechanics Theory and Experiment. 2022(5). 53201–53201. 15 indexed citations
7.
Chen, Hanshuang, et al.. (2022). First passage of a diffusing particle under stochastic resetting in bounded domains with spherical symmetry. Physical review. E. 105(3). 34109–34109. 15 indexed citations
8.
Wang, Huan, Chuang Ma, Hanshuang Chen, Ying‐Cheng Lai, & Haifeng Zhang. (2022). Full reconstruction of simplicial complexes from binary contagion and Ising data. Nature Communications. 13(1). 3043–3043. 65 indexed citations
9.
Shen, Chuansheng & Hanshuang Chen. (2021). The interplay of diffusion and heterogeneity in nucleation of the networked Ising model. Communications in Theoretical Physics. 73(11). 115601–115601. 1 indexed citations
10.
Ding, Xiao, Chuang Ma, Xingyi Zhang, Hanshuang Chen, & Haifeng Zhang. (2021). SOIDP: Predicting Interlayer Links in Multiplex Networks. IEEE Transactions on Computational Social Systems. 9(4). 997–1007. 13 indexed citations
11.
Chen, Hanshuang, Shuang Wang, Chuansheng Shen, Haifeng Zhang, & Ginestra Bianconi. (2020). Non-Markovian majority-vote model. Physical review. E. 102(6). 62311–62311. 8 indexed citations
12.
Ma, Chuang, et al.. (2020). An improved belief propagation algorithm for detecting mesoscale structure in complex networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(2). 23112–23112. 2 indexed citations
13.
Liu, Qiming, et al.. (2019). Inferring Network Structure and Estimating Dynamical Process From Binary-State Data via Logistic Regression. IEEE Transactions on Systems Man and Cybernetics Systems. 51(8). 4639–4649. 19 indexed citations
14.
Chen, Hanshuang, et al.. (2019). An Improved Heterogeneous Mean-Field Theory for the Ising Model on Complex Networks*. Communications in Theoretical Physics. 71(12). 1475–1475. 1 indexed citations
15.
Ma, Chuang, et al.. (2018). Detection of core-periphery structure in networks based on 3-tuple motifs. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(5). 53121–53121. 7 indexed citations
16.
Chen, Hanshuang, et al.. (2018). Pseudo-double transition in the networked Ising model with core-periphery structures. arXiv (Cornell University). 1 indexed citations
17.
Ma, Chuang, et al.. (2018). Reconstructing signed networks via Ising dynamics. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(12). 123117–123117. 12 indexed citations
18.
19.
He, Gang, Toyohiro Chikyow, Xiaohong Chen, et al.. (2012). Cathodoluminescence and field emission from GaN/MgAl2O4grown by metalorganic chemical vapor deposition: substrate-orientation dependence. Journal of Materials Chemistry C. 1(2). 238–245. 5 indexed citations
20.
Chen, Hanshuang & Jiqian Zhang. (2008). Diversity-induced coherence resonance in spatially extended chaotic systems. Physical Review E. 77(2). 26207–26207. 20 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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