Meng Hui

2.1k total citations
69 papers, 1.6k citations indexed

About

Meng Hui is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Meng Hui has authored 69 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 18 papers in Statistical and Nonlinear Physics and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Meng Hui's work include Neural Networks Stability and Synchronization (16 papers), stochastic dynamics and bifurcation (11 papers) and Nonlinear Dynamics and Pattern Formation (10 papers). Meng Hui is often cited by papers focused on Neural Networks Stability and Synchronization (16 papers), stochastic dynamics and bifurcation (11 papers) and Nonlinear Dynamics and Pattern Formation (10 papers). Meng Hui collaborates with scholars based in China, Australia and Singapore. Meng Hui's co-authors include Yong Liang Guan, Shaoxiang Chen, Lin Bai, Dora E. Angelaki, P. L. So, Tek Tjing Lie, E. Gunawan, Choi Look Law, Zhen Ye and Qisheng Wu and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Meng Hui

61 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Hui China 21 731 272 219 162 143 69 1.6k
Luca Patané Italy 18 357 0.5× 129 0.5× 22 0.1× 324 2.0× 93 0.7× 145 1.2k
Pulkit Grover United States 19 1.2k 1.6× 514 1.9× 82 0.4× 350 2.2× 15 0.1× 131 2.2k
Dezhi Zheng China 27 798 1.1× 277 1.0× 33 0.2× 455 2.8× 23 0.2× 185 2.3k
Ákos Zarándy Hungary 20 752 1.0× 578 2.1× 18 0.1× 149 0.9× 95 0.7× 134 1.4k
Lin Cheng United States 28 2.1k 2.9× 667 2.5× 22 0.1× 235 1.5× 34 0.2× 97 2.6k
Michele Basso Italy 15 188 0.3× 144 0.5× 48 0.2× 24 0.1× 167 1.2× 83 1.2k
Chao Zhai China 18 267 0.4× 302 1.1× 17 0.1× 92 0.6× 34 0.2× 161 1.2k
Aimin Jiang China 21 331 0.5× 139 0.5× 13 0.1× 454 2.8× 68 0.5× 128 1.7k
Zhu Liang Yu China 27 489 0.7× 56 0.2× 49 0.2× 529 3.3× 20 0.1× 115 2.1k
Gerald Cook United States 28 219 0.3× 65 0.2× 88 0.4× 328 2.0× 57 0.4× 163 3.3k

Countries citing papers authored by Meng Hui

Since Specialization
Citations

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

Fields of papers citing papers by Meng Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Hui

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Hui. A scholar is included among the top collaborators of Meng Hui 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 Meng Hui. Meng Hui 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.
Hui, Meng, Lu Wang, Hao Li, et al.. (2024). Unveiling the microservices testing methods, challenges, solutions, and solutions gaps: A systematic mapping study. Journal of Systems and Software. 220. 112232–112232. 3 indexed citations
2.
Zhang, Jing, et al.. (2024). Bifurcation analysis and exact solutions of the conformable time fractional Symmetric Regularized Long Wave equation. Chaos Solitons & Fractals. 190. 115744–115744. 4 indexed citations
3.
Hui, Meng & Yi Wu. (2024). Physical Experiment Simulation Framework Based on Matlab. 2. 1–5. 1 indexed citations
4.
Hui, Meng, et al.. (2023). Finite-time anti-synchronization and fixed-time quasi-anti-synchronization for complex-valued neural networks with time-varying delay and application. Neural Computing and Applications. 35(21). 15775–15790. 7 indexed citations
5.
Bai, Lin, et al.. (2023). A Novel Anchor-Free Detector Using Global Context-Guide Feature Balance Pyramid and United Attention for SAR Ship Detection. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 35 indexed citations
6.
Bai, Lin, et al.. (2023). Feature Enhancement Pyramid and Shallow Feature Reconstruction Network for SAR Ship Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 1042–1056. 75 indexed citations
7.
Chen, Wei, Xiaoping Wang, Meng Hui, & Zhigang Zeng. (2023). Quasi-Synchronization of Fractional Multiweighted Coupled Neural Networks via Aperiodic Intermittent Control. IEEE Transactions on Cybernetics. 54(3). 1671–1684. 45 indexed citations
8.
Bai, Lin, et al.. (2022). MsanlfNet: Semantic Segmentation Network With Multiscale Attention and Nonlocal Filters for High-Resolution Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 21 indexed citations
9.
Bai, Lin, et al.. (2022). Remote Sensing Image Scene Classification Using Multiscale Feature Fusion Covariance Network With Octave Convolution. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 57 indexed citations
10.
Dijck, Gert Van, Marc M. Van Hulle, Shane A. Heiney, et al.. (2013). Probabilistic Identification of Cerebellar Cortical Neurones across Species. PLoS ONE. 8(3). e57669–e57669. 30 indexed citations
11.
Ghasia, Fatema F., Meng Hui, & Dora E. Angelaki. (2008). Neural Correlates of Forward and Inverse Models for Eye Movements: Evidence from Three-Dimensional Kinematics. Journal of Neuroscience. 28(19). 5082–5087. 40 indexed citations
12.
Hui, Meng, et al.. (2007). Alignment design of curved section of highway. Journal of Chang'an University. 2 indexed citations
13.
Green, Andrea M., Meng Hui, & Dora E. Angelaki. (2007). A Reevaluation of the Inverse Dynamic Model for Eye Movements. Journal of Neuroscience. 27(6). 1346–1355. 39 indexed citations
14.
Hui, Meng. (2005). Computer Simulation for Serrated Chip Formation. Mechanical Engineer. 1 indexed citations
15.
Ge, Manling, et al.. (2005). An Abnormal EEG Simulation Based on The Chay Model of An Excitable Neuron. 45–47. 1 indexed citations
16.
Shu, Dongwei, et al.. (2005). Excitation pulse shape effects in drop test simulation of the actuator arm of a hard disk drive. Microsystem Technologies. 12(4). 299–305. 12 indexed citations
17.
Hui, Meng, et al.. (2005). An Understanding for the Abnormal Spikes of the EEG Simulation in a 2-D Neural Network. PubMed. 2005. 3008–3011. 2 indexed citations
18.
Goto, Fumiyuki, Meng Hui, Hitoshi Sato, et al.. (2003). Eye movements evoked by the selective stimulation of the utricular nerve in cats. Auris Nasus Larynx. 30(4). 341–348. 33 indexed citations
19.
Sasaki, Mitsuyoshi, et al.. (2002). Convergence of the anterior semicircular canal and otolith afferents on cat single vestibular neurons. Experimental Brain Research. 147(3). 407–417. 47 indexed citations
20.
Hui, Meng, et al.. (2002). Properties of utricular-activated vestibular neurons that project to the contralateral vestibular nuclei in the cat. Experimental Brain Research. 147(4). 419–425. 8 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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