Xubin Ping

685 total citations
58 papers, 513 citations indexed

About

Xubin Ping is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xubin Ping has authored 58 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Control and Systems Engineering, 5 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xubin Ping's work include Advanced Control Systems Optimization (45 papers), Fault Detection and Control Systems (33 papers) and Control Systems and Identification (21 papers). Xubin Ping is often cited by papers focused on Advanced Control Systems Optimization (45 papers), Fault Detection and Control Systems (33 papers) and Control Systems and Identification (21 papers). Xubin Ping collaborates with scholars based in China, France and Macao. Xubin Ping's co-authors include Baocang Ding, Witold Pedrycz, Zhiwu Li, Tarek Raïssi, Hongguang Pan, Denis Efimov, Peng Wang, Sen Yang, Ning Sun and Andrey Polyakov and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Xubin Ping

51 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xubin Ping China 13 466 58 49 30 24 58 513
Mohammad Javad Khosrowjerdi Iran 11 403 0.9× 39 0.7× 58 1.2× 34 1.1× 17 0.7× 50 466
Attaullah Y. Memon Pakistan 10 247 0.5× 55 0.9× 69 1.4× 13 0.4× 14 0.6× 41 287
Gyunghoon Park South Korea 9 303 0.7× 130 2.2× 71 1.4× 56 1.9× 19 0.8× 37 346
Yassine Boukal France 11 243 0.5× 55 0.9× 37 0.8× 14 0.5× 31 1.3× 23 289
Tinggang Jia China 12 455 1.0× 220 3.8× 59 1.2× 34 1.1× 21 0.9× 33 530
Zhitai Liu China 6 245 0.5× 77 1.3× 50 1.0× 24 0.8× 20 0.8× 20 302
Tobias Raff Germany 12 496 1.1× 67 1.2× 18 0.4× 23 0.8× 31 1.3× 22 537
Ernesto Aranda‐Escolástico Spain 11 156 0.3× 78 1.3× 42 0.9× 21 0.7× 9 0.4× 30 249
Marco Herrera Ecuador 9 254 0.5× 36 0.6× 27 0.6× 27 0.9× 13 0.5× 50 319

Countries citing papers authored by Xubin Ping

Since Specialization
Citations

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

Fields of papers citing papers by Xubin Ping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xubin Ping

This figure shows the co-authorship network connecting the top 25 collaborators of Xubin Ping. A scholar is included among the top collaborators of Xubin Ping 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 Xubin Ping. Xubin Ping 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.
Ping, Xubin, et al.. (2024). Sampled-data static output feedback robust MPC for LPV systems with bounded disturbances. Journal of the Franklin Institute. 361(16). 107171–107171. 2 indexed citations
2.
Efimov, Denis, Andrey Polyakov, & Xubin Ping. (2024). Interval Observation and Control for Continuous-Time Persidskii Systems. IEEE Transactions on Automatic Control. 69(11). 7572–7583. 2 indexed citations
3.
Wang, Siyuan, et al.. (2024). Homogeneous Control Design Using Invariant Ellipsoid Method. IEEE Transactions on Automatic Control. 69(9). 6458–6465. 2 indexed citations
4.
Polyakov, Andrey, Denis Efimov, & Xubin Ping. (2023). Consistent discretization of homogeneous finite/fixed-time controllers for LTI systems. Automatica. 155. 111118–111118. 6 indexed citations
5.
Polyakov, Andrey, Denis Efimov, & Xubin Ping. (2023). Energetically Optimal Finite-Time Stabilization of Generalized Homogeneous Linear Systems. IEEE Transactions on Automatic Control. 68(12). 7811–7817.
6.
Ping, Xubin, et al.. (2023). Ellipsoidal tube‐based output feedback robust MPC for linear systems with bounded disturbances and noises. International Journal of Robust and Nonlinear Control. 33(14). 8631–8656. 2 indexed citations
7.
Ping, Xubin, et al.. (2022). Fault Detection and Isolation for Linear discrete-time Delayed Systems based on L∞ Observer and Zonotopic Analysis. IFAC-PapersOnLine. 55(25). 169–174. 1 indexed citations
8.
Polyakov, Andrey, Denis Efimov, & Xubin Ping. (2022). Consistent discretization of a homogeneous finite-time control for a double integrator. 2022 IEEE 61st Conference on Decision and Control (CDC). 3821–3826. 2 indexed citations
9.
10.
Ping, Xubin, Sen Yang, Yingying Xiao, Baocang Ding, & Zhiwu Li. (2021). Interval state estimation‐based robust model predictive control for linear parameter varying systems. International Journal of Robust and Nonlinear Control. 31(15). 7026–7052. 9 indexed citations
11.
Ping, Xubin, et al.. (2021). Time-Varying Tube-Based Output Feedback Robust MPC for T–S Fuzzy Systems. IEEE Transactions on Fuzzy Systems. 30(5). 1460–1474. 10 indexed citations
12.
Ping, Xubin, et al.. (2021). Tube-Based Output Feedback Robust MPC for LPV Systems With Scaled Terminal Constraint Sets. IEEE Transactions on Cybernetics. 52(8). 7563–7576. 22 indexed citations
13.
Wang, Zhenhua, et al.. (2020). Ellipsoid-based sensor fault detection for discrete-time switched systems. 3267–3272. 2 indexed citations
14.
Wang, Peng, et al.. (2019). Robust RHC for wheeled vehicles with bounded disturbances. International Journal of Robust and Nonlinear Control. 29(7). 2063–2081. 14 indexed citations
15.
Ping, Xubin, Sen Yang, Peng Wang, & Zhiwu Li. (2019). An observer‐based output feedback robust MPC approach for constrained LPV systems with bounded disturbance and noise. International Journal of Robust and Nonlinear Control. 30(4). 1512–1533. 17 indexed citations
16.
Ping, Xubin, Sen Yang, Baocang Ding, Tarek Raïssi, & Zhiwu Li. (2019). A Convexity Approach to Dynamic Output Feedback Robust MPC for LPV Systems with Bounded Disturbances. International Journal of Control Automation and Systems. 18(6). 1378–1391. 6 indexed citations
17.
Ping, Xubin & Witold Pedrycz. (2019). Output Feedback Model Predictive Control of Interval Type-2 T–S Fuzzy System With Bounded Disturbance. IEEE Transactions on Fuzzy Systems. 28(1). 148–162. 64 indexed citations
18.
Ding, Baocang, et al.. (2015). Dynamic Output Feedback Robust MPC Using General Polyhedral State Bounds for the Polytopic Uncertain System With Bounded Disturbance. Asian Journal of Control. 18(2). 699–708. 18 indexed citations
19.
Ping, Xubin & Ning Sun. (2015). Dynamic Output Feedback Robust Model Predictive Control via Zonotopic Set-Membership Estimation for Constrained Quasi-LPV Systems. Journal of Applied Mathematics. 2015. 1–12. 7 indexed citations
20.
Ding, Baocang & Xubin Ping. (2013). Dynamic output feedback robust model predictive control with guaranteed quadratic boundedness under redefined bounds on the unknown true state for the system with polytopic uncertainty and bounded disturbance. Chinese Control Conference. 4137–4142. 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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