Changsong Zhou

12.8k total citations · 3 hit papers
171 papers, 9.4k citations indexed

About

Changsong Zhou is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Changsong Zhou has authored 171 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Cognitive Neuroscience, 62 papers in Statistical and Nonlinear Physics and 54 papers in Computer Networks and Communications. Recurrent topics in Changsong Zhou's work include Neural dynamics and brain function (85 papers), Nonlinear Dynamics and Pattern Formation (54 papers) and Functional Brain Connectivity Studies (47 papers). Changsong Zhou is often cited by papers focused on Neural dynamics and brain function (85 papers), Nonlinear Dynamics and Pattern Formation (54 papers) and Functional Brain Connectivity Studies (47 papers). Changsong Zhou collaborates with scholars based in Hong Kong, China and Germany. Changsong Zhou's co-authors include Jürgen Kurths, Yamir Moreno, Àlex Arenas, Albert Dı́az-Guilera, Bambi Hu, Guang Ouyang, Adilson E. Motter, Werner Sommer, Gorka Zamora‐López and Grigory V. Osipov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Changsong Zhou

161 papers receiving 9.1k citations

Hit Papers

Synchronization in complex networks 2005 2026 2012 2019 2008 2005 2007 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changsong Zhou Hong Kong 40 5.0k 4.7k 3.9k 899 455 171 9.4k
Dong‐Uk Hwang South Korea 16 2.9k 0.6× 5.0k 1.1× 1.5k 0.4× 1.1k 1.2× 204 0.4× 37 8.7k
Albert Dı́az-Guilera Spain 32 4.4k 0.9× 7.1k 1.5× 1.3k 0.3× 1.5k 1.7× 179 0.4× 107 10.6k
T. Geisel Germany 45 1.8k 0.3× 4.0k 0.9× 2.4k 0.6× 936 1.0× 847 1.9× 194 9.2k
Mingzhou Ding United States 65 2.0k 0.4× 3.1k 0.7× 9.9k 2.5× 642 0.7× 1.6k 3.4× 226 15.2k
Adilson E. Motter United States 39 3.8k 0.8× 4.7k 1.0× 830 0.2× 1.1k 1.2× 87 0.2× 122 8.4k
M. I. Rabinovich United States 50 2.9k 0.6× 3.5k 0.7× 4.5k 1.2× 546 0.6× 1.9k 4.2× 222 8.4k
Martin Golubitsky United States 45 4.2k 0.8× 3.6k 0.8× 1.3k 0.3× 1.3k 1.4× 307 0.7× 152 9.9k
Jean‐Pierre Eckmann Switzerland 39 3.6k 0.7× 7.2k 1.5× 1.1k 0.3× 962 1.1× 112 0.2× 118 13.0k
Frank Moss United States 50 4.6k 0.9× 8.8k 1.9× 4.7k 1.2× 1.7k 1.9× 710 1.6× 185 11.3k
Marc Timme Germany 38 2.0k 0.4× 1.7k 0.4× 1.4k 0.4× 426 0.5× 381 0.8× 138 4.4k

Countries citing papers authored by Changsong Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Changsong Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changsong Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Changsong Zhou. A scholar is included among the top collaborators of Changsong Zhou 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 Changsong Zhou. Changsong Zhou 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.
Xie, Shengyu, Qianqian Yang, Chuan Ma, et al.. (2025). Advances and perspectives of response surface methodology for product optimization, prediction and synergy identification in biomass and plastic co-pyrolysis. Journal of Analytical and Applied Pyrolysis. 194. 107550–107550. 1 indexed citations
2.
Tian, Liang, et al.. (2025). The effects of the post-delay epochs on working memory error reduction. PLoS Computational Biology. 21(5). e1013083–e1013083.
3.
Tian, Liang, et al.. (2024). Validity of Markovian modeling for transient memory-dependent epidemic dynamics. Communications Physics. 7(1). 3 indexed citations
4.
Ouyang, Guang & Changsong Zhou. (2023). Exploiting Information in Event-Related Brain Potentials from Average Temporal Waveform, Time–Frequency Representation, and Phase Dynamics. Bioengineering. 10(9). 1054–1054. 3 indexed citations
5.
Wu, Yunying, et al.. (2023). Reshaping the Cortical Connectivity Gradient by Long-Term Cognitive Training During Development. Neuroscience Bulletin. 40(1). 50–64. 3 indexed citations
7.
Song, Chenchen, et al.. (2023). Complexity of cortical wave patterns of the wake mouse cortex. Nature Communications. 14(1). 1434–1434. 15 indexed citations
8.
Cui, Yan, Min Li, Bharat B. Biswal, et al.. (2021). Dynamic Configuration of Coactive Micropatterns in the Default Mode Network During Wakefulness and Sleep. Brain Connectivity. 11(6). 471–482. 3 indexed citations
9.
Zhou, Jianfang, et al.. (2021). Synaptic changes modulate spontaneous transitions between tonic and bursting neural activities in coupled Hindmarsh-Rose neurons. Physical review. E. 104(5). 54407–54407. 12 indexed citations
10.
Liu, Mianxin, et al.. (2019). Assessing spatiotemporal variability of brain spontaneous activity by multiscale entropy and functional connectivity. NeuroImage. 198. 198–220. 29 indexed citations
11.
Zhou, Changsong, et al.. (2016). Spike Pattern Structure Influences Synaptic Efficacy Variability under STDP and Synaptic Homeostasis. I: Spike Generating Models on Converging Motifs. Frontiers in Computational Neuroscience. 10. 14–14. 4 indexed citations
12.
Ouyang, Guang, et al.. (2016). Stochastic Oscillation in Self-Organized Critical States of Small Systems: Sensitive Resting State in Neural Systems. Physical Review Letters. 116(1). 18101–18101. 23 indexed citations
13.
Yang, Dongping, et al.. (2016). Burst Firing Enhances Neural Output Correlation. Frontiers in Computational Neuroscience. 10. 42–42. 15 indexed citations
14.
Ouyang, Guang, et al.. (2016). Articulation Artifacts During Overt Language Production in Event-Related Brain Potentials: Description and Correction. Brain Topography. 29(6). 791–813. 21 indexed citations
15.
Zhou, Jianfang, et al.. (2014). Correction: Network Evolution Induced by Asynchronous Stimuli through Spike-Timing-Dependent Plasticity. PLoS ONE. 9(1). 7 indexed citations
16.
Zhou, Changsong, et al.. (2013). Network Evolution Induced by Asynchronous Stimuli through Spike-Timing-Dependent Plasticity. PLoS ONE. 8(12). e84644–e84644. 10 indexed citations
17.
Zhou, Changsong, et al.. (2011). Interplay between structure and dynamics in adaptive complex networks: Emergence and amplification of modularity by adaptive dynamics. Physical Review E. 84(1). 16116–16116. 26 indexed citations
18.
Zamora‐López, Gorka, Vinko Zlatić, Changsong Zhou, Hrvoje Štefančić, & Jürgen Kurths. (2008). Reciprocity of networks with degree correlations and arbitrary degree sequences. Physical Review E. 77(1). 16106–16106. 38 indexed citations
19.
Zhou, Changsong, Jürgen Kurths, István Z. Kiss, & John L. Hudson. (2002). Noise-Enhanced Phase Synchronization of Chaotic Oscillators. Physical Review Letters. 89(1). 14101–14101. 101 indexed citations
20.
Zhou, Changsong & Chen Tian-Lun. (1996). Communication via Chaotic Synchronization Based on Contraction Maps. Chinese Physics Letters. 13(8). 572–575. 4 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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