Changgui Gu

1.3k citations
94 papers · 947 indexed · h-index 18

Impact in

Papers in

Changgui Gu

87 papers receiving 924 citations

Peers

Changgui Gu
Comparison fields: 5 of 97
  • Endocrine and Autonomic Systems 398
  • Statistical and Nonlinear Physics 308
  • Cellular and Molecular Neuroscience 323
  • Cognitive Neuroscience 276
  • Modeling and Simulation 57
Replace Uwe an der Heiden with:
Uwe an der Heiden Germany
Aneta Koseska Germany
Zachary P. Kilpatrick United States
Jens Christian Claussen Germany
Michael R. Guevara Canada
Ruth Lev Bar‐Or Israel
Sharon Crook United States
David J. Schwab United States
Paula Sanz‐Leon Australia
D. V. Senthilkumar India
Changgui Gu relative to Uwe an der Heiden Germany Uwe an der Heiden's profile →
Citations per field
00.5×10.5×
Uwe an der Heiden · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Changgui Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Changgui Gu Line = papers co-authored together Changgui Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 201955
3 201545
4 201437
5 200936
6 201829
7 201229
8 201628
9 201326
10 201623
11 201522
12 201222
13 202221
14 201620
15 202019
16 201919
17 201418
18 201918
19 201617
20 201616

About Changgui Gu

Changgui Gu is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 94 papers that have together received 947 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (39 papers), Photoreceptor and optogenetics research (35 papers), Complex Network Analysis Techniques (21 papers), Neural dynamics and brain function (21 papers), Nonlinear Dynamics and Pattern Formation (20 papers), Opinion Dynamics and Social Influence (16 papers), Neurobiology and Insect Physiology Research (9 papers) and Neural Networks and Reservoir Computing (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (398 citations), Statistical and Nonlinear Physics (308 citations), Cellular and Molecular Neuroscience (323 citations), Cognitive Neuroscience (276 citations) and Modeling and Simulation (57 citations). Changgui Gu has collaborated with scholars based in China, Netherlands and Australia. Frequent 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. Their work appears in journals such as Physical review. E, Chaos An Interdisciplinary Journal of Nonlinear Science, Physica A Statistical Mechanics and its Applications, Nonlinear Dynamics and Chaos Solitons & Fractals.

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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