Ya Gu

1.2k total citations
46 papers, 1.0k citations indexed

About

Ya Gu is a scholar working on Control and Systems Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Ya Gu has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Control and Systems Engineering, 8 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Ya Gu's work include Control Systems and Identification (30 papers), Fault Detection and Control Systems (28 papers) and Advanced Control Systems Optimization (11 papers). Ya Gu is often cited by papers focused on Control Systems and Identification (30 papers), Fault Detection and Control Systems (28 papers) and Advanced Control Systems Optimization (11 papers). Ya Gu collaborates with scholars based in China, United Kingdom and Canada. Ya Gu's co-authors include Feng Ding, Feng Ding, Quanmin Zhu, Hassan Nouri, Jicheng Liu, Yan Ji, Junhong Li, Ling Xu, Ahmed Alsaedi and Tasawar Hayat and has published in prestigious journals such as Automatica, IEEE Access and IEEE Transactions on Industrial Informatics.

In The Last Decade

Ya Gu

39 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ya Gu China	17	886	304	213	139	49	46	1.0k
Yanjun Liu China	16	1.1k 1.3×	254 0.8×	302 1.4×	245 1.8×	38 0.8×	47	1.4k
Hao Ma China	10	736 0.8×	280 0.9×	224 1.1×	118 0.8×	32 0.7×	24	852
Francesco Dinuzzo Germany	13	626 0.7×	381 1.3×	178 0.8×	103 0.7×	107 2.2×	24	1.1k
Laurent Bako France	15	726 0.8×	101 0.3×	187 0.9×	80 0.6×	42 0.9×	53	909
Yihong Zhou China	12	810 0.9×	235 0.8×	235 1.1×	168 1.2×	34 0.7×	22	953
Junxia Ma China	18	562 0.6×	297 1.0×	148 0.7×	109 0.8×	29 0.6×	61	889
Zhen Kang China	7	727 0.8×	252 0.8×	279 1.3×	130 0.9×	35 0.7×	12	798
Martin Enqvist Sweden	13	557 0.6×	127 0.4×	212 1.0×	65 0.5×	26 0.5×	60	729
Biqiang Mu China	15	473 0.5×	129 0.4×	187 0.9×	88 0.6×	36 0.7×	57	735
V. Cerone Italy	19	1.1k 1.2×	107 0.4×	190 0.9×	84 0.6×	58 1.2×	103	1.4k

Countries citing papers authored by Ya Gu

Since Specialization

Citations

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

Fields of papers citing papers by Ya Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Ya Gu. A scholar is included among the top collaborators of Ya Gu 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 Ya Gu. Ya Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tan, Yonghong, et al.. (2025). A Predictive Gradient-Based Observer for Fault Detection of MEMS Micromirrors. IEEE Transactions on Instrumentation and Measurement. 74. 1–16.

Gu, Ya, et al.. (2024). Multiple-model state-space system identification with time delay using the EM algorithm. Journal of the Franklin Institute. 361(16). 107113–107113. 6 indexed citations

Li, Chuanjiang, et al.. (2024). Robust Gradient Iterative Estimation Algorithm for ExpARX Models With Random Missing Outputs. International Journal of Control Automation and Systems. 22(7). 2293–2300.

Gu, Ya, et al.. (2024). Separable Synchronous Gradient‐Based Iterative Algorithms for the Nonlinear ExpARX System. International Journal of Adaptive Control and Signal Processing. 38(12). 3801–3818. 23 indexed citations

Gu, Ya, et al.. (2024). sEMG and NCLA-Based Gesture Recognition for Sewer Inspection Robot. IEEE Sensors Journal. 24(23). 39373–39382.

Gu, Ya, et al.. (2024). Modeling of Dynamic Systems With Hysteresis Using Predictive Gradient-Based Method. IEEE Transactions on Automation Science and Engineering. 22. 8976–8987. 2 indexed citations

Jia, Li, et al.. (2023). Identification of nonlinear process described by neural fuzzy Hammerstein-Wiener model using multi-signal processing. Advances in Manufacturing. 11(4). 694–707. 11 indexed citations

Gu, Ya, et al.. (2022). Magnetic Integrated Superbuck with Low Current Ripple using Linear-nonlinear Coordinated Control. IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. 1–7.

Gu, Ya, Quanmin Zhu, & Hassan Nouri. (2021). Identification and U‐control of a state‐space system with time‐delay. International Journal of Adaptive Control and Signal Processing. 36(1). 138–154. 74 indexed citations

10.

Zhang, Aihua, et al.. (2020). A recognition method for extreme bradycardia by arterial blood pressure signal modeling with curve fitting. Physiological Measurement. 41(7). 74002–74002. 4 indexed citations

11.

Gu, Ya, et al.. (2020). Multi-Innovation Stochastic Gradient Parameter and State Estimation Algorithm for Dual-Rate State-Space Systems with d-Step Time Delay. Complexity. 2020. 1–11. 1 indexed citations

12.

Gu, Ya, et al.. (2019). Moving horizon estimation for multirate systems with time-varying time-delays. Journal of the Franklin Institute. 356(4). 2325–2345. 90 indexed citations

13.

Liu, Jicheng, et al.. (2019). Seismic Random Noise Reduction Using Adaptive Threshold Combined Scale and Directional Characteristics of Shearlet Transform. IEEE Geoscience and Remote Sensing Letters. 17(9). 1637–1641. 28 indexed citations

14.

Chen, Jing, Biao Huang, Feng Ding, & Ya Gu. (2018). Variational Bayesian approach for ARX systems with missing observations and varying time-delays. Automatica. 94. 194–204. 79 indexed citations

15.

Gu, Ya. (2014). The clinical significance of nitric oxide and endothelin-1 in exhaled breath condensate and serum of patients with acute lung injury/acute respiratory distress syndrome. Shiyong yixue zazhi.

16.

Chen, Qijia, Ya Gu, & Feng Ding. (2014). Data filtering based recursive least squares estimation algorithm for a class of Wiener nonlinear systems. 1848–1852. 2 indexed citations

17.

Gu, Ya & Rui Ding. (2013). A least squares identification algorithm for a state space model with multi-state delays. Applied Mathematics Letters. 26(7). 748–753. 23 indexed citations

18.

Gu, Ya & Ruifeng Ding. (2012). Observable state space realizations for multivariable systems. Computers & Mathematics with Applications. 63(9). 1389–1399. 11 indexed citations

19.

Gu, Ya & Feng Ding. (2012). Auxiliary model based least squares identification method for a state space model with a unit time-delay. Applied Mathematical Modelling. 36(12). 5773–5779. 30 indexed citations

20.

Ding, Feng & Ya Gu. (2012). Performance Analysis of the Auxiliary Model-Based Stochastic Gradient Parameter Estimation Algorithm for State-Space Systems with One-Step State Delay. Circuits Systems and Signal Processing. 32(2). 585–599. 62 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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