Lingzhong Guo

1.2k total citations
54 papers, 877 citations indexed

About

Lingzhong Guo is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Lingzhong Guo has authored 54 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 10 papers in Statistical and Nonlinear Physics and 10 papers in Artificial Intelligence. Recurrent topics in Lingzhong Guo's work include Control Systems and Identification (13 papers), Structural Health Monitoring Techniques (8 papers) and Neural Networks and Applications (8 papers). Lingzhong Guo is often cited by papers focused on Control Systems and Identification (13 papers), Structural Health Monitoring Techniques (8 papers) and Neural Networks and Applications (8 papers). Lingzhong Guo collaborates with scholars based in United Kingdom, China and Nigeria. Lingzhong Guo's co-authors include S.A. Billings, Quanmin Zhu, Hua‐Liang Wei, S.A. Billings, Yuzhu Guo, Yifan Zhao, Xin Wang, Xin Wang, Bin Qin and Jianshu Zhou and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Lingzhong Guo

51 papers receiving 863 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingzhong Guo United Kingdom 18 429 188 133 113 97 54 877
Lei Liu China 18 509 1.2× 91 0.5× 116 0.9× 42 0.4× 118 1.2× 156 1.1k
Mai The Vu South Korea 24 793 1.8× 189 1.0× 117 0.9× 100 0.9× 69 0.7× 78 1.5k
Juan C. Agüero Chile 21 1.1k 2.5× 307 1.6× 211 1.6× 167 1.5× 101 1.0× 137 1.5k
Helon Vicente Hultmann Ayala Brazil 17 389 0.9× 364 1.9× 279 2.1× 108 1.0× 40 0.4× 78 1.1k
Kishore Bingi Malaysia 20 524 1.2× 221 1.2× 351 2.6× 45 0.4× 77 0.8× 121 1.2k
Arun K. Tangirala India 16 682 1.6× 120 0.6× 166 1.2× 77 0.7× 64 0.7× 89 1.1k
Zhenxing Liu China 16 366 0.9× 97 0.5× 239 1.8× 61 0.5× 53 0.5× 101 901
Mohammad Ataei Iran 17 717 1.7× 108 0.6× 499 3.8× 25 0.2× 69 0.7× 90 1.3k
Yang Tian China 18 509 1.2× 70 0.4× 155 1.2× 81 0.7× 203 2.1× 65 1.0k
Cong Wang China 19 1.2k 2.9× 166 0.9× 95 0.7× 183 1.6× 72 0.7× 92 1.8k

Countries citing papers authored by Lingzhong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Lingzhong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingzhong Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Lingzhong Guo. A scholar is included among the top collaborators of Lingzhong Guo 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 Lingzhong Guo. Lingzhong Guo 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.
Dall’Ara, Enrico, et al.. (2025). Deep Learning-based Surrogate Model of Subject-Specific Finite-Element Analysis for Vertebrae. IEEE Transactions on Biomedical Engineering. PP. 1–11.
2.
Lang, Zi–Qiang, et al.. (2025). Deep learning-based electrical impedance spectroscopy analysis for malignant and potentially malignant oral disorder detection. Scientific Reports. 15(1). 19458–19458. 1 indexed citations
3.
Dowling, Lisa, et al.. (2024). Automatic segmentation of skeletal muscles from MR images using modified U-Net and a novel data augmentation approach. Frontiers in Bioengineering and Biotechnology. 12. 1355735–1355735. 7 indexed citations
4.
Li, Xinshan, et al.. (2024). Automatic segmentation of lower limb muscles from MR images of post-menopausal women based on deep learning and data augmentation. PLoS ONE. 19(4). e0299099–e0299099. 3 indexed citations
5.
Dall’Ara, Enrico, et al.. (2024). A novel mean shape based post-processing method for enhancing deep learning lower-limb muscle segmentation accuracy. PLoS ONE. 19(10). e0308664–e0308664. 1 indexed citations
6.
Wang, Xin, Jianshu Zhou, Bin Qin, & Lingzhong Guo. (2023). Coordinated Power Smoothing Control Strategy of Multi-Wind Turbines and Energy Storage Systems in Wind Farm Based on MADRL. IEEE Transactions on Sustainable Energy. 15(1). 368–380. 17 indexed citations
7.
Wang, Xin, Jianshu Zhou, Bin Qin, & Lingzhong Guo. (2022). Coordinated control of wind turbine and hybrid energy storage system based on multi-agent deep reinforcement learning for wind power smoothing. Journal of Energy Storage. 57. 106297–106297. 39 indexed citations
8.
Guo, Lingzhong, et al.. (2020). Adaptive neuro-fuzzy approach for prediction of dewpoint pressure for gas condensate reservoirs. Petroleum Science and Technology. 38(9). 673–681. 10 indexed citations
9.
Guo, Yuzhu, Yang Li, Jingjing Luo, et al.. (2019). Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems. Neurocomputing. 357. 188–202. 11 indexed citations
10.
Guo, Yuzhu, et al.. (2019). The Detection of Freezing of Gait in Parkinson’s Disease Using Asymmetric Basis Function TV-ARMA Time–Frequency Spectral Estimation Method. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(10). 2077–2086. 9 indexed citations
11.
Guo, Yuzhu, Fabio Alexander Storm, Yifan Zhao, et al.. (2017). A New Proxy Measurement Algorithm with Application to the Estimation of Vertical Ground Reaction Forces Using Wearable Sensors. Sensors. 17(10). 2181–2181. 43 indexed citations
12.
Guo, Lingzhong, Yuzhu Guo, Yifan Zhao, et al.. (2014). A Spatial Frequency Domain Analysis of the Belousov–Zhabotinsky Reaction. International Journal of Bifurcation and Chaos. 24(3). 1450031–1450031. 2 indexed citations
13.
Guo, Yuzhu, Lingzhong Guo, S.A. Billings, Daniel Coca, & Zi–Qiang Lang. (2013). Volterra Series Approximation of a Class of Nonlinear Dynamical Systems Using the Adomian Decomposition Method. Nonlinear Dynamics. 74(1-2). 359–371. 19 indexed citations
14.
Guo, Lingzhong, Yuzhu Guo, S.A. Billings, Daniel Coca, & Zi–Qiang Lang. (2012). A Volterra series representation for a class of nonlinear infinite dimensional systems with periodic boundary conditions. Systems & Control Letters. 62(2). 115–123. 5 indexed citations
15.
Wei, Hua‐Liang, S.A. Billings, Yifan Zhao, & Lingzhong Guo. (2010). An adaptive wavelet neural network for spatio-temporal system identification. Neural Networks. 23(10). 1286–1299. 37 indexed citations
16.
Wei, Hua‐Liang, S.A. Billings, Yifan Zhao, & Lingzhong Guo. (2008). Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio–Temporal System Identification. IEEE Transactions on Neural Networks. 20(1). 181–185. 45 indexed citations
17.
Guo, Lingzhong & S.A. Billings. (2007). State-Space Reconstruction and Spatio-Temporal Prediction of Lattice Dynamical Systems. IEEE Transactions on Automatic Control. 52(4). 622–632. 65 indexed citations
18.
19.
Guo, Lingzhong, et al.. (2006). Neighbourhood detection and identification of spatio-temporal dynamical systems using a coarse-to-fine approach. International Journal of Systems Science. 38(1). 1–15. 7 indexed citations
20.
Guo, Lingzhong & S.A. Billings. (2006). A modified orthogonal forward regression least-squares algorithm for system modelling from noisy regressors. International Journal of Control. 80(3). 340–348. 3 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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