Changgui Gu

1.3k citations
96 papers · 979 · h-index 18

Impact in

Papers in

Changgui Gu

89 papers receiving 962 citations

Peers

Changgui Gu
Comparison fields: 5 of 99
  • Endocrine and Autonomic Systems 397
  • Statistical and Nonlinear Physics 317
  • Cellular and Molecular Neuroscience 322
  • Cognitive Neuroscience 274
  • Modeling and Simulation 58
Replace Uwe an der Heiden with:
Uwe an der Heiden Germany
Aneta Koseska Germany
Zachary P. Kilpatrick United States
Janina Hesse Germany
Ruth Lev Bar‐Or Israel
Jens Christian Claussen Germany
Michael R. Guevara Canada
Sharon Crook United States
D. V. Senthilkumar India
David J. Schwab United States
Changgui Gu relative to Uwe an der Heiden Germany Uwe an der Heiden's profile →
Citations per field
00.5×10.6×
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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019103
2 201958
3 201546
4 201437
5 200936
6 201830
7 201229
8 201628
9 201326
10 201624
11 201222
12 201522
13 202221
14 201920
15 201620
16 202020
17 201919
18 201418
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 96 papers that have together received 979 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (39 papers), Photoreceptor and optogenetics research (35 papers), Complex Network Analysis Techniques (22 papers), Neural dynamics and brain function (21 papers), Nonlinear Dynamics and Pattern Formation (20 papers), Opinion Dynamics and Social Influence (17 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 (397 citations), Statistical and Nonlinear Physics (317 citations), Cellular and Molecular Neuroscience (322 citations), Cognitive Neuroscience (274 citations) and Modeling and Simulation (58 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, Ming Tang, Jie Zhang, 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, Nonlinear Dynamics, Physica A Statistical Mechanics and its Applications 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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