Yanqiu Che

1.2k total citations
92 papers, 857 citations indexed

About

Yanqiu Che is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Yanqiu Che has authored 92 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Cognitive Neuroscience, 38 papers in Statistical and Nonlinear Physics and 24 papers in Computer Networks and Communications. Recurrent topics in Yanqiu Che's work include Neural dynamics and brain function (50 papers), stochastic dynamics and bifurcation (28 papers) and EEG and Brain-Computer Interfaces (24 papers). Yanqiu Che is often cited by papers focused on Neural dynamics and brain function (50 papers), stochastic dynamics and bifurcation (28 papers) and EEG and Brain-Computer Interfaces (24 papers). Yanqiu Che collaborates with scholars based in China, United States and Italy. Yanqiu Che's co-authors include Jiang Wang, Xile Wei, Bin Deng, Chunxiao Han, Huiyan Li, Meili Lu, Kenneth A. Loparo, Shuangming Yang, Yingmei Qin and Haitao Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Yanqiu Che

77 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanqiu Che China 15 416 244 184 174 164 92 857
Mahmut Özer Türkiye 21 892 2.1× 517 2.1× 144 0.8× 260 1.5× 182 1.1× 69 1.4k
Chen Liu China 23 792 1.9× 384 1.6× 254 1.4× 202 1.2× 459 2.8× 121 1.6k
Enzeng Dong China 17 333 0.8× 431 1.8× 205 1.1× 200 1.1× 113 0.7× 93 1.1k
P. Celka Switzerland 13 405 1.0× 99 0.4× 47 0.3× 103 0.6× 82 0.5× 36 644
Haitao Yu China 30 1.7k 4.1× 737 3.0× 293 1.6× 431 2.5× 417 2.5× 136 2.5k
Chunling Wei China 19 124 0.3× 108 0.4× 68 0.4× 208 1.2× 172 1.0× 118 1.3k
Etem Köklükaya Türkiye 14 350 0.8× 64 0.3× 130 0.7× 52 0.3× 56 0.3× 45 736
L.H. Zetterberg Sweden 12 1.0k 2.5× 164 0.7× 56 0.3× 122 0.7× 250 1.5× 19 1.4k
Yisheng Zhu China 18 671 1.6× 64 0.3× 103 0.6× 46 0.3× 95 0.6× 125 1.4k
Jun Zhuang United States 6 370 0.9× 103 0.4× 61 0.3× 26 0.1× 162 1.0× 18 838

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-authorship network of co-authors of Yanqiu Che

This figure shows the co-authorship network connecting the top 25 collaborators of Yanqiu Che. A scholar is included among the top collaborators of Yanqiu Che 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 Yanqiu Che. Yanqiu Che 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.
Qin, Qing, Zi-Wei Lin, Guangyuan Gao, et al.. (2025). MBE-UNet: Multi-Branch Boundary Enhanced U-Net for Ultrasound Segmentation. IEEE Journal of Biomedical and Health Informatics. 30(1). 575–585. 1 indexed citations
2.
Che, Yanqiu, et al.. (2025). Automatic detection of Alzheimer’s disease from EEG signals using hybrid PSO-GWO algorithm. Biomedical Signal Processing and Control. 107. 107798–107798. 2 indexed citations
3.
Wang, Ruofan, et al.. (2023). A novel framework of MOPSO-GDM in recognition of Alzheimer's EEG-based functional network. Frontiers in Aging Neuroscience. 15. 1160534–1160534. 3 indexed citations
4.
Gao, Guangyuan, et al.. (2023). EfficientNet-Lion: A Deep Learning Approach for Spandex Defect Image Classification. 23–26. 1 indexed citations
6.
Wang, Ruofan, et al.. (2023). A deep learning framework for identifying Alzheimer's disease using fMRI-based brain network. Frontiers in Neuroscience. 17. 1177424–1177424. 12 indexed citations
7.
Li, Yang, et al.. (2022). EEG-Based Emotion Recognition by Using Machine Learning and Deep Learning. 1–5. 1 indexed citations
8.
Zhao, Jia, et al.. (2020). Effects of network topologies on stochastic resonance in feedforward neural network. Cognitive Neurodynamics. 14(3). 399–409. 13 indexed citations
9.
Wei, Xile, et al.. (2019). Application of Reinforcement Learning to Deep Brain Stimulation in a Computational Model of Parkinson’s Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(1). 339–349. 27 indexed citations
10.
Qin, Yingmei, Chunxiao Han, Yanqiu Che, & Jia Zhao. (2018). Vibrational resonance in a randomly connected neural network. Cognitive Neurodynamics. 12(5). 509–518. 21 indexed citations
11.
Han, Chunxiao, et al.. (2013). Synchronization of Coupled Chaotic Neurons with Unknown Time Delays via Adaptive Backstepping Control. Research Journal of Applied Sciences Engineering and Technology. 5(24). 5509–5515. 2 indexed citations
12.
Zhou, Yue, et al.. (2012). The endogenous electrical field effect on pyramidal neural network with low calcium. Chinese Control Conference. 7426–7431. 1 indexed citations
13.
Chen, Yingyuan, Jiang Wang, Xile Wei, Bin Deng, & Yanqiu Che. (2011). Particle swarm optimization of periodic deep brain stimulation waveforms. Chinese Control Conference. 754–757. 2 indexed citations
14.
Li, Huiyan, Jiang Wang, Bin Deng, et al.. (2011). Adaptive chaotic synchronization of Hindmarsh-Rose network with gap-junction. Chinese Control Conference. 5646–5649. 1 indexed citations
15.
Wang, Jiang, et al.. (2010). On neural network training algorithm based on the unscented Kalman filter. Chinese Control Conference. 1447–1450. 4 indexed citations
16.
Li, Nuo, Jiang Wang, Yanqiu Che, et al.. (2010). Enhancement of synchronization in brain during acupuncture. Chinese Control Conference. 2945–2948. 2 indexed citations
17.
Zhang, Ronghua, Jiang Wang, Shuangshuang Li, & Yanqiu Che. (2010). High-speed simulation for neuron system base on FPGA. Chinese Control Conference. 5500–5504. 1 indexed citations
18.
Chen, Ying‐Yuan, Jiang Wang, Yanqiu Che, Xile Wei, & Bin Deng. (2010). Unidirectional synchronization of Morris-Lecar neurons via adaptive H ∞ control. Chinese Control Conference. 749–754. 1 indexed citations
19.
Che, Yanqiu, Jiang Wang, W.L. Chan, et al.. (2009). Chaos synchronization of gyro systems via variable universe adaptive fuzzy sliding mode control. Asian Control Conference. 589–593. 1 indexed citations
20.
Che, Yanqiu, et al.. (2009). Bifurcations in morris-lecar model exposed to DC electric field. PubMed. 2009. 3433–3436.

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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