Changgui Gu

1.3k total citations
94 papers, 947 citations indexed

About

Changgui Gu is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Changgui Gu has authored 94 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Endocrine and Autonomic Systems, 37 papers in Cellular and Molecular Neuroscience and 30 papers in Statistical and Nonlinear Physics. Recurrent topics in Changgui Gu's work include Circadian rhythm and melatonin (39 papers), Photoreceptor and optogenetics research (35 papers) and Neural dynamics and brain function (21 papers). Changgui Gu is often cited by papers focused on Circadian rhythm and melatonin (39 papers), Photoreceptor and optogenetics research (35 papers) and Neural dynamics and brain function (21 papers). Changgui Gu collaborates with scholars based in China, Netherlands and Australia. Changgui Gu's co-authors include Huijie Yang, Jos H. T. Rohling, Zonghua Liu, Tongfeng Weng, Michael Small, Jie Zhang, Ming Tang, Johanna H. Meijer, Jinshan Xu and Xiaoming Liang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

In The Last Decade

Changgui Gu

87 papers receiving 924 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changgui Gu China	18	398	323	308	276	222	94	947
Aneta Koseska Germany	19	31 0.1×	136 0.4×	812 2.6×	273 1.0×	984 4.4×	40	1.7k
Uwe an der Heiden Germany	17	66 0.2×	73 0.2×	281 0.9×	258 0.9×	331 1.5×	35	1.0k
Michael R. Guevara Canada	16	37 0.1×	228 0.7×	874 2.8×	452 1.6×	753 3.4×	21	1.6k
Zachary P. Kilpatrick United States	16	25 0.1×	130 0.4×	257 0.8×	459 1.7×	175 0.8×	48	624
Tanmoy Banerjee India	22	30 0.1×	54 0.2×	999 3.2×	282 1.0×	1.2k 5.4×	99	1.6k
David J. Schwab United States	17	20 0.1×	253 0.8×	89 0.3×	230 0.8×	89 0.4×	46	1.1k
D. V. Senthilkumar India	20	28 0.1×	61 0.2×	835 2.7×	281 1.0×	1.1k 4.8×	98	1.3k
Jens Christian Claussen Germany	18	19 0.0×	74 0.2×	249 0.8×	253 0.9×	243 1.1×	48	1.4k
Ruth Lev Bar‐Or Israel	10	29 0.1×	340 1.1×	140 0.5×	712 2.6×	79 0.4×	17	1.4k
Eckehard Olbrich Germany	18	37 0.1×	77 0.2×	424 1.4×	567 2.1×	153 0.7×	60	1.3k

Countries citing papers authored by Changgui Gu

Since Specialization

Citations

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

Fields of papers citing papers by Changgui Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changgui Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Changgui Gu. A scholar is included among the top collaborators of Changgui Gu 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 Changgui Gu. Changgui Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gu, Changgui, et al.. (2025). MINFLUX reveals nonnormal distribution of linkage errors in immunofluorescence labeling. Communications Physics. 8(1). 2 indexed citations

Gu, Changgui, et al.. (2025). Higher-order simplicial synchronization in coupled D-dimensional topological Kuramoto model. Physical Review Research. 7(2).

Wang, Jiepeng, et al.. (2025). Enhancing the topological robustness of supply chain networks against dynamic disruptions: A complex adaptive system perspective. Chaos Solitons & Fractals. 199. 116767–116767.

Small, Michael, et al.. (2024). Network Spreading from Network Dimension. Physical Review Letters. 132(23). 237401–237401. 6 indexed citations

Yang, Huijie, et al.. (2024). Susceptible-infected-recovered-susceptible processes competing on simplicial complexes. Physical review. E. 110(6). 64311–64311. 3 indexed citations

Gu, Changgui, et al.. (2023). Goodwin oscillator model explains different response of circadian rhythms to constant light. Physica A Statistical Mechanics and its Applications. 618. 128711–128711. 1 indexed citations

Small, Michael, et al.. (2023). Correlation dimension in empirical networks. Physical review. E. 107(3). 34310–34310. 2 indexed citations

Zhang, Xiyun, et al.. (2023). The effects of long-range connections on navigation in suprachiasmatic nucleus networks. Nonlinear Dynamics. 111(19). 18493–18504. 2 indexed citations

Feng, Aiqing, et al.. (2023). Characteristics of Heat Waves in Mainland China since 1961 Based on Absolute and Relative Methods. Atmosphere. 14(3). 544–544. 5 indexed citations

10.

Chen, Zhi, Jun Wang, Yuan Lin, et al.. (2022). Options for mobility and network reciprocity to jointly yield robust cooperation in social dilemmas. Applied Mathematics and Computation. 435. 127456–127456. 21 indexed citations

11.

Cao, Xinxin, et al.. (2021). Lowest-degree preference random walks on complex networks. Physica A Statistical Mechanics and its Applications. 577. 126075–126075. 3 indexed citations

12.

Weng, Tongfeng, et al.. (2020). Pattern interdependent network of cross-correlation in multivariate time series. Physics Letters A. 384(30). 126781–126781. 10 indexed citations

13.

Gu, Changgui, et al.. (2020). A flight formation mechanism: The weight of repulsive force. Communications in Nonlinear Science and Numerical Simulation. 95. 105648–105648. 2 indexed citations

14.

Weng, Tongfeng, et al.. (2019). Information on evolutionary age in redundancy of complex network. Modern Physics Letters B. 33(27). 1950331–1950331.

15.

Gu, Changgui, Huijie Yang, Man Wang, & Jos H. T. Rohling. (2019). Heterogeneity in relaxation rate improves the synchronization of oscillatory neurons in a model of the SCN. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(1). 13103–13103. 7 indexed citations

16.

Weng, Tongfeng, Huijie Yang, Changgui Gu, et al.. (2019). Predator-prey games on complex networks. Communications in Nonlinear Science and Numerical Simulation. 79. 104911–104911. 13 indexed citations

17.

Yang, Yue, et al.. (2018). A Patient Suffering From Neurodegenerative Disease May Have a Strengthened Fractal Gait Rhythm. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(9). 1765–1772. 7 indexed citations

18.

Zheng, Muhua, et al.. (2018). Double transition of information spreading in a two-layered network. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(8). 12 indexed citations

19.

Zheng, Muhua, et al.. (2018). A model of spreading of sudden events on social networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(3). 33113–33113. 29 indexed citations

20.

Gu, Changgui, Jinshan Xu, Jos H. T. Rohling, Huijie Yang, & Zonghua Liu. (2015). Noise Induces Oscillation and Synchronization of the Circadian Neurons. PLoS ONE. 10(12). e0145360–e0145360. 22 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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