Zhuchun Li

865 total citations
29 papers, 488 citations indexed

About

Zhuchun Li is a scholar working on Computer Networks and Communications, Biomedical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Zhuchun Li has authored 29 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 11 papers in Biomedical Engineering and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Zhuchun Li's work include Nonlinear Dynamics and Pattern Formation (22 papers), Slime Mold and Myxomycetes Research (11 papers) and Distributed Control Multi-Agent Systems (7 papers). Zhuchun Li is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (22 papers), Slime Mold and Myxomycetes Research (11 papers) and Distributed Control Multi-Agent Systems (7 papers). Zhuchun Li collaborates with scholars based in China, South Korea and Canada. Zhuchun Li's co-authors include Seung‐Yeal Ha, Xiaoping Xue, Young-Pil Choi, Xiaoping Xue, Daren Yu, Seung-Yeal Ha, Qi Wang, Yufeng Guo, Dongrui Zhang and Xiaoxue Zhao and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of the Franklin Institute and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Zhuchun Li

26 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhuchun Li China 13 436 141 131 69 59 29 488
Dongnam Ko South Korea 12 381 0.9× 155 1.1× 76 0.6× 60 0.9× 15 0.3× 33 451
Sun-Ho Choi South Korea 10 228 0.5× 95 0.7× 68 0.5× 47 0.7× 14 0.2× 30 317
Jinyeong Park South Korea 12 335 0.8× 130 0.9× 106 0.8× 28 0.4× 12 0.2× 23 385
Doheon Kim South Korea 10 204 0.5× 90 0.6× 34 0.3× 42 0.6× 22 0.4× 37 299
Jiandong Zhu China 9 221 0.5× 71 0.5× 47 0.4× 47 0.7× 53 0.9× 18 319
Seung-Yeal Ha South Korea 12 205 0.5× 91 0.6× 43 0.3× 35 0.5× 16 0.3× 26 319
Moon-Jin Kang South Korea 13 136 0.3× 77 0.5× 36 0.3× 23 0.3× 22 0.4× 35 421
V. Panferov United States 9 124 0.3× 118 0.8× 18 0.1× 47 0.7× 30 0.5× 13 502
David Poyato Spain 6 101 0.2× 87 0.6× 26 0.2× 27 0.4× 25 0.4× 11 245
Thomas Wagenknecht United Kingdom 12 242 0.6× 221 1.6× 29 0.2× 46 0.7× 36 0.6× 22 415

Countries citing papers authored by Zhuchun Li

Since Specialization
Citations

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

Fields of papers citing papers by Zhuchun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuchun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuchun Li. A scholar is included among the top collaborators of Zhuchun Li 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 Zhuchun Li. Zhuchun Li 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.
Li, Zhuchun, et al.. (2025). Multistability Induced by Higher-Order Self-Dynamics in Kuramoto-Type System and Its Perspective in Voting Dynamics. SIAM Journal on Applied Dynamical Systems. 24(2). 1422–1454.
2.
Zhao, Xiaoxue, et al.. (2023). Unified approach for applications of oscillatory associative-memory networks with error-free retrieval. Physical review. E. 108(1). 14305–14305.
3.
Li, Zhuchun, Xiaoxue Zhao, & Xiaoping Xue. (2022). Hebbian Network of Kuramoto Oscillators with Second-Order Couplings for Binary Pattern Retrieve: II. Nonorthogonal Standard Patterns and Structural Stability. SIAM Journal on Applied Dynamical Systems. 21(1). 102–136. 2 indexed citations
4.
Li, Zhuchun, et al.. (2021). Flocking in a two-agent Cucker-Smale model with large delay. Proceedings of the American Mathematical Society. 149(4). 1711–1721. 5 indexed citations
5.
Li, Zhuchun & Xiaoxue Zhao. (2020). Synchronization in adaptive Kuramoto oscillators for power grids with dynamic voltages. Nonlinearity. 33(12). 6624–6661. 5 indexed citations
6.
Zhao, Xiaoxue & Zhuchun Li. (2020). Synchronization of a Kuramoto-like model for power grids with frustration. Networks and Heterogeneous Media. 15(3). 543–553.
7.
Zhao, Xiaoxue, Zhuchun Li, & Xiaoping Xue. (2020). Stability in a Hebbian Network of Kuramoto Oscillators with Second-Order Couplings for Binary Pattern Retrieve. SIAM Journal on Applied Dynamical Systems. 19(2). 1124–1159. 5 indexed citations
8.
Ha, Seung‐Yeal, Zhuchun Li, & Xiongtao Zhang. (2020). On the critical exponent of the one-dimensional Cucker–Smale model on a general graph. Mathematical Models and Methods in Applied Sciences. 30(9). 1653–1703. 7 indexed citations
9.
Choi, Young-Pil & Zhuchun Li. (2019). Synchronization of nonuniform Kuramoto oscillators for power grids with general connectivity and dampings. Nonlinearity. 32(2). 559–583. 31 indexed citations
10.
Ha, Seung‐Yeal, Doheon Kim, & Zhuchun Li. (2019). Emergent flocking dynamics of the discrete thermodynamic Cucker-Smale model. Quarterly of Applied Mathematics. 78(4). 589–615. 4 indexed citations
11.
Choi, Young-Pil & Zhuchun Li. (2018). Emergent behavior of Cucker–Smale flocking particles with heterogeneous time delays. Applied Mathematics Letters. 86. 49–56. 53 indexed citations
12.
Ha, Seung‐Yeal, et al.. (2018). Synchronous harmony in an ensemble of Hamiltonian mean-field oscillators and inertial Kuramoto oscillators. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(11). 113112–113112. 1 indexed citations
13.
Ha, Seung‐Yeal, et al.. (2017). Emergence of local synchronization in an ensemble of heterogeneous Kuramoto oscillators. Networks and Heterogeneous Media. 12(1). 1–24. 2 indexed citations
14.
Li, Zhuchun, Xiaoping Xue, & Daren Yu. (2015). On the Łojasiewicz exponent of Kuramoto model. Journal of Mathematical Physics. 56(2). 11 indexed citations
15.
Li, Zhuchun, et al.. (2014). Complete entrainment of Kuramoto oscillators with inertia on networks via gradient-like flow. Journal of Differential Equations. 257(7). 2591–2621. 34 indexed citations
16.
Ha, Seung‐Yeal, Zhuchun Li, Marshall Slemrod, & Xiaoping Xue. (2014). Flocking behavior of the Cucker-Smale model under rooted leadership in a large coupling limit. Quarterly of Applied Mathematics. 72(4). 689–701. 12 indexed citations
17.
Ha, Seung‐Yeal, Zhuchun Li, & Xiaoping Xue. (2013). Formation of phase-locked states in a population of locally interacting Kuramoto oscillators. Journal of Differential Equations. 255(10). 3053–3070. 63 indexed citations
18.
Ha, Seung‐Yeal & Zhuchun Li. (2013). Complete synchronization of Kuramoto oscillators with hierarchical leadership. Communications in Mathematical Sciences. 12(3). 485–508. 23 indexed citations
19.
Xue, Xiaoping & Zhuchun Li. (2010). Asymptotic Stability Analysis of a Kind of Switched Positive Linear Discrete Systems $ $. IEEE Transactions on Automatic Control. 55(9). 2198–2203. 23 indexed citations
20.
Li, Zhuchun & Xiaoping Xue. (2010). Outer synchronization of coupled networks using arbitrary coupling strength. Chaos An Interdisciplinary Journal of Nonlinear Science. 20(2). 23106–23106. 35 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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