Xiaoli Luan

4.2k total citations · 7 hit papers
142 papers, 3.3k citations indexed

About

Xiaoli Luan is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Xiaoli Luan has authored 142 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Control and Systems Engineering, 27 papers in Artificial Intelligence and 21 papers in Computational Theory and Mathematics. Recurrent topics in Xiaoli Luan's work include Fault Detection and Control Systems (62 papers), Stability and Control of Uncertain Systems (47 papers) and Control Systems and Identification (41 papers). Xiaoli Luan is often cited by papers focused on Fault Detection and Control Systems (62 papers), Stability and Control of Uncertain Systems (47 papers) and Control Systems and Identification (41 papers). Xiaoli Luan collaborates with scholars based in China, United Kingdom and Australia. Xiaoli Luan's co-authors include Fei Liu, Shuping He, Peng Shi, Cheng Peng, Vladimir Stojanović, Shunyi Zhao, Hamid Reza Karimi, Fei Liu, Rong Nie and Hai Wang and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Xiaoli Luan

122 papers receiving 3.3k citations

Hit Papers

5 papers align trajectories

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.

Asynchronous Fault Detection for Interval Type-2 Fuzzy Nonhomogeneous Higher Level Markov Jump Systems With Uncertain Transition Probabilities

2021 192 citations Hai Wang, Vladimir Stojanović et al. profile →
Asynchronous Fault Detection Observer for 2-D Markov Jump Systems

2021 160 citations Cheng Peng, Hai Wang et al. IEEE Transactions on Cybernetics profile →
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 →
Self-triggered finite-time control for discrete-time Markov jump systems

2023 80 citations Xiaoli Luan, Vladimir Stojanović et al. Information Sciences profile →
Highly-efficient filtered hierarchical identification algorithms for multiple-input multiple-output systems with colored noises

2024 66 citations Haoming Xing, Feng Ding et al. Systems & Control Letters profile →
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 →
Hierarchical Recursive Gradient Parameter Identification for Multi‐Input ARX Systems With Partially‐Coupled Information Vectors

2025 27 citations Feng Ding, Xiaoli Luan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaoli Luan China	29	2.6k	996	570	438	259	142	3.3k
Reinaldo M. Palhares Brazil	36	3.5k 1.4×	1.2k 1.2×	997 1.7×	630 1.4×	371 1.4×	203	4.7k
Antonio Sala Spain	25	2.8k 1.1×	680 0.7×	888 1.6×	421 1.0×	251 1.0×	170	3.4k
Anke Xue China	33	2.8k 1.1×	1.9k 1.9×	441 0.8×	450 1.0×	286 1.1×	216	3.9k
Yun Chen China	32	1.8k 0.7×	1.6k 1.6×	709 1.2×	370 0.8×	496 1.9×	165	3.1k
Fanbiao Li China	25	2.8k 1.1×	1.5k 1.5×	445 0.8×	357 0.8×	348 1.3×	74	3.6k
Zhan Shu China	35	3.2k 1.2×	1.9k 1.9×	290 0.5×	526 1.2×	410 1.6×	136	4.3k
Yanzheng Zhu China	30	2.9k 1.1×	1.9k 1.9×	452 0.8×	381 0.9×	493 1.9×	127	3.7k
Yabin Gao China	28	3.1k 1.2×	1.2k 1.2×	651 1.1×	295 0.7×	696 2.7×	88	3.9k
Mohamed Darouach France	34	4.0k 1.5×	708 0.7×	833 1.5×	219 0.5×	290 1.1×	256	4.7k

Countries citing papers authored by Xiaoli Luan

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoli Luan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Luan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shardt, Yuri A.W., et al.. (2025). In-depth exploration on dynamic-controlled principal component analysis: Algorithm properties and its applications in pattern control and optimisation. Journal of the Franklin Institute. 362(8). 107696–107696.

Albertos, Pedro, et al.. (2025). Smith predictor based control of multi time-delay processes. Annual Reviews in Control. 60. 101008–101008.

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 →

Wen, Jiwei, Huiwen Xue, Xiaoli Luan, & Peng Shi. (2025). A general TD-Q learning control approach for discrete-time Markov jump systems. ISA Transactions. 160. 111–121.

Luan, Xiaoli, et al.. (2024). A Transfer State Estimator for Uncertain Parameters and Noise Statistics. IFAC-PapersOnLine. 58(14). 192–197.

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 →

Luan, Xiaoli, et al.. (2024). Hierarchical-based self-triggered control for linear systems with external disturbances. Journal of the Franklin Institute. 362(1). 107438–107438.

Karimi, Hamid Reza, et al.. (2024). Model-free aperiodic tracking for discrete-time systems using hierarchical reinforcement learning. Neurocomputing. 609. 128486–128486.

Luan, Xiaoli, et al.. (2024). Near-infrared quality monitoring modeling with multi-scale CNN and temperature adaptive correction. Infrared Physics & Technology. 137. 105162–105162. 4 indexed citations

10.

Xing, Haoming, Feng Ding, Xiao Zhang, Xiaoli Luan, & Erfu Yang. (2024). Highly-efficient filtered hierarchical identification algorithms for multiple-input multiple-output systems with colored noises. Systems & Control Letters. 186. 105762–105762. 66 indexed citations breakdown →

11.

Luan, Xiaoli, et al.. (2024). Suboptimal Bayesian Filters for Markov Jump Linear Systems with Unknown Noise Covariance. 912–917.

12.

Zhao, Shunyi, et al.. (2024). Bayesian Transfer Filtering Using Pseudo Marginal Measurement Likelihood. IEEE Transactions on Cybernetics. 55(2). 562–573.

13.

Chen, Penghao, Xiaoli Luan, & Fei Liu. (2023). Reduced-order K-filters-based event-triggered adaptive command filtered tracking control for stochastic constrained nonlinear systems. Journal of the Franklin Institute. 360(7). 4519–4547. 3 indexed citations

14.

Luan, Xiaoli, et al.. (2023). Self-triggered finite-time control for discrete-time Markov jump systems. Information Sciences. 634. 101–121. 80 indexed citations breakdown →

15.

Gao, Shuang, Shunyi Zhao, Xiaoli Luan, & Fei Liu. (2023). Adaptive risk-sensitive filter for Markovian jump linear systems. Automatica. 151. 110897–110897. 6 indexed citations

16.

Chen, Penghao, Xiaoli Luan, & Fei Liu. (2023). MT‐filters‐based event‐triggered adaptive prescribed performance tracking control of multi‐agent systems with unknown direction actuator failure. International Journal of Robust and Nonlinear Control. 33(14). 8224–8253. 2 indexed citations

17.

Peng, Cheng, Hai Wang, Vladimir Stojanović, et al.. (2021). Asynchronous Fault Detection Observer for 2-D Markov Jump Systems. IEEE Transactions on Cybernetics. 52(12). 13623–13634. 160 indexed citations breakdown →

18.

Peng, Cheng, Shuping He, Jun Cheng, Xiaoli Luan, & Fei Liu. (2020). Asynchronous Output Feedback Control for a Class of Conic-Type Nonlinear Hidden Markov Jump Systems Within a Finite-Time Interval. IEEE Transactions on Systems Man and Cybernetics Systems. 51(12). 7644–7651. 101 indexed citations

19.

Peng, Cheng, et al.. (2019). Observer-Based Asynchronous Fault Detection for Conic-Type Nonlinear Jumping Systems and its Application to Separately Excited DC Motor. IEEE Transactions on Circuits and Systems I Regular Papers. 67(3). 951–962. 99 indexed citations

20.

Luan, Xiaoli, Peng Shi, & Fei Liu. (2018). Given-time multiple frequency control for Markov jump systems based on derandomization. Information Sciences. 451-452. 134–142. 14 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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