Ling Xu

8.8k total citations · 17 hit papers
136 papers, 7.6k citations indexed

About

Ling Xu is a scholar working on Control and Systems Engineering, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Ling Xu has authored 136 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Control and Systems Engineering, 34 papers in Artificial Intelligence and 32 papers in Civil and Structural Engineering. Recurrent topics in Ling Xu's work include Control Systems and Identification (88 papers), Fault Detection and Control Systems (67 papers) and Structural Health Monitoring Techniques (32 papers). Ling Xu is often cited by papers focused on Control Systems and Identification (88 papers), Fault Detection and Control Systems (67 papers) and Structural Health Monitoring Techniques (32 papers). Ling Xu collaborates with scholars based in China, Saudi Arabia and United States. Ling Xu's co-authors include Feng Ding, Tasawar Hayat, Xiao Zhang, Quanmin Zhu, Erfu Yang, Shuhui Li, Timothy A. Haskew, Lingling Fan, Ahmed Alsaedi and Weili Xiong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Communications and Automatica.

In The Last Decade

Ling Xu

129 papers receiving 7.5k citations

Hit Papers

Partially‐coupled least squares based iterative parameter... 2019 2026 2021 2023 2019 2022 2023 2022 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Partially‐coupled least squares based iterative parameter estimation for multi‐variable output‐error‐like autoregressive moving average systems
    2019 194 citations Feng Ding, Ling Xu et al. IET Control Theory and Applications profile →
  2. Separable Newton Recursive Estimation Method Through System Responses Based on Dynamically Discrete Measurements with Increasing Data Length
    2022 186 citations Ling Xu profile →
  3. Filtered auxiliary model recursive generalized extended parameter estimation methods for Box–Jenkins systems by means of the filtering identification idea
    2023 143 citations Feng Ding, Ling Xu et al. International Journal of Robust and Nonlinear Control profile →
  4. Separable Synchronous Multi-Innovation Gradient-Based Iterative Signal Modeling From On-Line Measurements
    2022 136 citations Ling Xu, Feng Ding et al. profile →
  5. Parameter Estimation for Nonlinear Functions Related to System Responses
    2023 116 citations Ling Xu profile →
  6. Two‐stage gradient‐based iterative algorithms for the fractional‐order nonlinear systems by using the hierarchical identification principle
    2022 114 citations Yan Ji, Xiao Zhang et al. International Journal of Adaptive Control and Signal Processing profile →
  7. Separable synthesis gradient estimation methods and convergence analysis for multivariable systems
    2023 102 citations Ling Xu, Feng Ding Journal of Computational and Applied Mathematics profile →
  8. Hierarchical gradient‐ and least‐squares‐based iterative estimation algorithms for input‐nonlinear output‐error systems from measurement information by using the over‐parameterization
    2023 95 citations Feng Ding, Ling Xu et al. International Journal of Robust and Nonlinear Control profile →
  9. Recursive identification methods for general stochastic systems with colored noises by using the hierarchical identification principle and the filtering identification idea
    2024 94 citations Feng Ding, Ling Xu et al. Annual Reviews in Control profile →
  10. Decomposition and composition modeling algorithms for control systems with colored noises
    2023 87 citations Ling Xu, Feng Ding International Journal of Adaptive Control and Signal Processing profile →
  11. Novel parameter estimation method for the systems with colored noises by using the filtering identification idea
    2024 79 citations Ling Xu, Feng Ding et al. Systems & Control Letters profile →
  12. Filtered generalized iterative parameter identification for equation‐error autoregressive models based on the filtering identification idea
    2024 76 citations Feng Ding, Ling Xu et al. International Journal of Adaptive Control and Signal Processing profile →
  13. Online identification methods for a class of Hammerstein nonlinear systems using the adaptive particle filtering
    2024 49 citations Huan Xu, Ling Xu et al. Chaos Solitons & Fractals profile →
  14. The filtering-based recursive least squares identification and convergence analysis for nonlinear feedback control systems with coloured noises
    2024 43 citations Ling Xu, Huan Xu et al. International Journal of Systems Science profile →
  15. Hierarchical generalized extended parameter identification for multivariable equation-error ARMA-like systems by using the filtering identification idea
    2025 28 citations Feng Ding, Ling Xu et al. Annual Reviews in Control profile →
  16. Two-stage parameter estimation methods for linear time-invariant continuous-time systems
    2025 28 citations Feng Ding, Ling Xu et al. Systems & Control Letters profile →
  17. Hierarchical Recursive Gradient Parameter Identification for Multi‐Input ARX Systems With Partially‐Coupled Information Vectors
    2025 27 citations Feng Ding, Xiaoli Luan et al. International Journal of Adaptive Control and Signal Processing profile →

Peers

Ling Xu
Håkan Hjalmarsson Sweden
Torsten Söderström Sweden
Bo Wahlberg Sweden
Quanmin Zhu United Kingdom
Fei Liu China
Junbo Zhao United States
Brett Ninness Australia
Qinghua Zhang France
K. Parthasarathy United States
Thomas Parisini Italy
Håkan Hjalmarsson Sweden
Ling Xu
Citations per year, relative to Ling Xu Ling Xu (= 1×) peers Håkan Hjalmarsson

Countries citing papers authored by Ling Xu

Since Specialization
Citations

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

Fields of papers citing papers by Ling Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Xu. A scholar is included among the top collaborators of Ling Xu 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 Ling Xu. Ling Xu 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.
Ding, Feng, Ling Xu, Peng Liu, & Xianfang Wang. (2025). Two-stage parameter estimation methods for linear time-invariant continuous-time systems. Systems & Control Letters. 204. 106166–106166. 28 indexed citations breakdown →
2.
Zhang, Xiao, et al.. (2025). Kalman-Based Joint Estimation for Generalized Time-Varying Parameter Systems With the Unknown Invariant Matrix. IEEE Transactions on Cybernetics. 56(2). 1027–1036. 8 indexed citations
3.
Ding, Feng, Ling Xu, Xiao Zhang, et al.. (2025). Hierarchical generalized extended parameter identification for multivariable equation-error ARMA-like systems by using the filtering identification idea. Annual Reviews in Control. 60. 100993–100993. 28 indexed citations breakdown →
4.
Wang, Zhixing, Zhuoyang Li, Guilin Song, et al.. (2025). Scalable assembly of micron boron nitride into high-temperature-resistant insulating papers with superior thermal conductivity. Materials Horizons. 12(12). 4349–4362. 14 indexed citations
5.
Ding, Feng, Ling Xu, Xiao Zhang, Yihong Zhou, & Xiaoli Luan. (2024). Recursive identification methods for general stochastic systems with colored noises by using the hierarchical identification principle and the filtering identification idea. Annual Reviews in Control. 57. 100942–100942. 94 indexed citations breakdown →
6.
Xu, Huan, et al.. (2024). Online identification methods for a class of Hammerstein nonlinear systems using the adaptive particle filtering. Chaos Solitons & Fractals. 186. 115181–115181. 49 indexed citations breakdown →
7.
Xu, Ling, Feng Ding, Xiao Zhang, & Quanmin Zhu. (2024). Novel parameter estimation method for the systems with colored noises by using the filtering identification idea. Systems & Control Letters. 186. 105774–105774. 79 indexed citations breakdown →
8.
Ding, Feng, et al.. (2024). Hierarchical extended parameter estimation algorithms for finite impulse response moving average models. IFAC-PapersOnLine. 58(14). 416–421. 1 indexed citations
9.
Xu, Ling, et al.. (2024). The filtering-based recursive least squares identification and convergence analysis for nonlinear feedback control systems with coloured noises. International Journal of Systems Science. 55(16). 3461–3484. 43 indexed citations breakdown →
10.
Ding, Feng, et al.. (2023). Convergence analysis of a synchronous gradient estimation scheme for time-varying parameter systems. Journal of Computational and Applied Mathematics. 443. 115724–115724. 37 indexed citations
11.
Xu, Ling & Feng Ding. (2023). Decomposition and composition modeling algorithms for control systems with colored noises. International Journal of Adaptive Control and Signal Processing. 38(1). 255–278. 87 indexed citations breakdown →
12.
Ding, Feng, Ling Xu, Xiao Zhang, & Yihong Zhou. (2023). Filtered auxiliary model recursive generalized extended parameter estimation methods for Box–Jenkins systems by means of the filtering identification idea. International Journal of Robust and Nonlinear Control. 33(10). 5510–5535. 143 indexed citations breakdown →
13.
Xu, Ling & Feng Ding. (2023). Separable synthesis gradient estimation methods and convergence analysis for multivariable systems. Journal of Computational and Applied Mathematics. 427. 115104–115104. 102 indexed citations breakdown →
14.
Xu, Ling, et al.. (2023). Parameter Estimation Methods of Linear Continuous-Time Time-Delay Systems from Multi-frequency Response Data. Circuits Systems and Signal Processing. 42(6). 3360–3384. 3 indexed citations
15.
Wang, Longjin, Yan Ji, Hualin Yang, & Ling Xu. (2020). Decomposition‐based multiinnovation gradient identification algorithms for a special bilinear system based on its input‐output representation. International Journal of Robust and Nonlinear Control. 30(9). 3607–3623. 69 indexed citations
16.
Xu, Ling, et al.. (2020). Hierarchical multi‐innovation generalised extended stochastic gradient methods for multivariable equation‐error autoregressive moving average systems. IET Control Theory and Applications. 14(10). 1276–1286. 57 indexed citations
17.
Xu, Ling, et al.. (2015). Application of an Improved BP Neural Network Model in Enterprise Network Security Forecasting. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Xu, Ling. (2015). Application of the Newton iteration algorithm to the parameter estimation for dynamical systems. Journal of Computational and Applied Mathematics. 288. 33–43. 143 indexed citations
19.
Xu, Ling. (2005). Design of Control System of Stacker Crane Based on PLC. Modular Machine Tool & Automatic Manufacturing Technique. 1 indexed citations
20.
Xu, Ling. (2005). A Lagrange-Quasi-Newton Method with Slack NCP Function.

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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