Yanqiu Che

1.1k citations
87 papers · 807 · h-index 14

Impact in

Papers in

Yanqiu Che

72 papers receiving 781 citations

Peers

Yanqiu Che
Comparison fields: 5 of 98
  • Cognitive Neuroscience 365
  • Statistical and Nonlinear Physics 213
  • Cellular and Molecular Neuroscience 151
  • Computer Networks and Communications 159
  • Artificial Intelligence 163
Replace Anastasiya E. Runnova with:
Anastasiya E. Runnova Russia
Enzeng Dong China
Weiming Yang China
Mahmut Özer Türkiye
Chen Liu China
Jun Zhuang United States
Yisheng Zhu China
Matthias Arnold Germany
Sachin S. Talathi United States
Régine Le Bouquin Jeannès France
Yanqiu Che relative to Anastasiya E. Runnova Russia Anastasiya E. Runnova's profile →
Citations per field
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Anastasiya E. Runnova · 1×
Citations per year

Countries citing papers authored by Yanqiu Che

Since Specialization
Citations

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

Fields of papers citing papers by Yanqiu Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yanqiu Che, 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 Yanqiu Che Line = papers co-authored together Yanqiu Che links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019242
2 201151
3 201945
4 201937
5 201931
6 200726
7 201924
8 201821
9 200619
10 201116
11 202016
12 201315
13 200714
14 202013
15 201213
16 202313
17 201113
18 200711
19 201810
20 20229

About Yanqiu Che

Yanqiu Che is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Computer Networks and Communications, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 87 papers that have together received 807 indexed citations. Recurring topics across this work include Neural dynamics and brain function (46 papers), stochastic dynamics and bifurcation (24 papers), EEG and Brain-Computer Interfaces (22 papers), Neuroscience and Neural Engineering (19 papers), Nonlinear Dynamics and Pattern Formation (17 papers), Advanced Memory and Neural Computing (13 papers), Chaos control and synchronization (11 papers) and Neurological disorders and treatments (9 papers). The work is most often cited by research in Cognitive Neuroscience (365 citations), Statistical and Nonlinear Physics (213 citations), Cellular and Molecular Neuroscience (151 citations), Computer Networks and Communications (159 citations) and Artificial Intelligence (163 citations). Yanqiu Che has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiang Wang, Xile Wei, Bin Deng, Chunxiao Han, Huiyan Li, Kenneth A. Loparo, Meili Lu, Shuangming Yang, Yingmei Qin and Haitao Yu. Their work appears in journals such as Chaos Solitons & Fractals, Chaos An Interdisciplinary Journal of Nonlinear Science, Neurocomputing, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Communications in Nonlinear Science and Numerical Simulation.

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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