Xian Yu

442 total citations
26 papers, 299 citations indexed

About

Xian Yu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computer Networks and Communications. According to data from OpenAlex, Xian Yu has authored 26 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Control and Systems Engineering, 9 papers in Mechanical Engineering and 7 papers in Computer Networks and Communications. Recurrent topics in Xian Yu's work include Iterative Learning Control Systems (14 papers), Advanced Control Systems Optimization (10 papers) and Adaptive Control of Nonlinear Systems (8 papers). Xian Yu is often cited by papers focused on Iterative Learning Control Systems (14 papers), Advanced Control Systems Optimization (10 papers) and Adaptive Control of Nonlinear Systems (8 papers). Xian Yu collaborates with scholars based in China, Cyprus and Egypt. Xian Yu's co-authors include Zhongsheng Hou, Marios M. Polycarpou, Tianshi Chen, Shangtai Jin, Kunfeng Lu, Chenkun Yin, Xin Zhang, Biqiang Mu, Zongze Wu and Amin Sharafian and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Access.

In The Last Decade

Xian Yu

24 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xian Yu China	8	240	68	64	41	19	26	299
Thanh Nguyen Truong South Korea	12	324 1.4×	109 1.6×	31 0.5×	29 0.7×	19 1.0×	28	370
Konstantinos Michail United Kingdom	6	288 1.2×	53 0.8×	33 0.5×	41 1.0×	26 1.4×	23	326
Na Lin China	11	343 1.4×	69 1.0×	82 1.3×	32 0.8×	33 1.7×	48	408
Liang Tao China	11	307 1.3×	85 1.3×	55 0.9×	58 1.4×	19 1.0×	24	365
Wenguang Luo China	9	137 0.6×	48 0.7×	33 0.5×	74 1.8×	18 0.9×	55	263
Jeang‐Lin Chang Taiwan	12	534 2.2×	63 0.9×	60 0.9×	54 1.3×	21 1.1×	41	584
Yaxin Huang China	9	331 1.4×	112 1.6×	87 1.4×	16 0.4×	15 0.8×	19	385
G. Monsees Netherlands	7	247 1.0×	67 1.0×	26 0.4×	32 0.8×	11 0.6×	10	314
Andrea Bisoffi Italy	12	313 1.3×	45 0.7×	31 0.5×	20 0.5×	20 1.1×	21	372
Nobutaka Wada Japan	13	384 1.6×	52 0.8×	23 0.4×	42 1.0×	13 0.7×	62	432

Countries citing papers authored by Xian Yu

Since Specialization

Citations

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

Fields of papers citing papers by Xian Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xian Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xian Yu. A scholar is included among the top collaborators of Xian Yu 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 Xian Yu. Xian Yu 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

Yu, Xian, et al.. (2025). Indirect Adaptive Interval Type-3 Fuzzy Tracking Control for Nonlinear Discrete-Time Networked Control Systems With DoS Attacks. IEEE Transactions on Cybernetics. 55(10). 4967–4980.

Yu, Xian, et al.. (2025). Adaptive general type-2 fuzzy model-based control for nonlinear networked systems with packet dropouts. ISA Transactions. 159. 257–277. 1 indexed citations

Yu, Xian, et al.. (2025). A Data-Driven Predictive Control Scheme for Nonlinear Discrete-Time Systems. IEEE Transactions on Cybernetics. 55(7). 3108–3118. 1 indexed citations

Yu, Xian, et al.. (2025). Interval type-3 fuzzy Wiener model for nonlinear dynamic systems: Application to continuous stirred tank reactor. Chaos Solitons & Fractals. 199. 116584–116584. 3 indexed citations

Fang, J.Q., Xian Yu, & Shuangshuang Xiong. (2024). Controller Dynamic Linearization Based Data-Driven Adaptive Control for a Vapor-Compression Refrigeration System. 1093–1098. 1 indexed citations

Cui, Yukang, et al.. (2024). Resilient Time-Varying Formation-Tracking of Multiagent Systems Against Hybrid Attacks With Applications to Spacecraft Formation. IEEE Transactions on Cybernetics. 55(2). 625–637. 4 indexed citations

Yu, Xian, Zhongsheng Hou, & Tianshi Chen. (2023). Data-Driven Distributed Adaptive Consensus Tracking of Nonlinear Multiagent Systems: A Controller-Based Dynamic Linearization Method. IEEE Transactions on Systems Man and Cybernetics Systems. 53(11). 6953–6965. 11 indexed citations

Yu, Xian & Tianshi Chen. (2023). Distributed Iterative Learning Control of Nonlinear Multiagent Systems Using Controller-Based Dynamic Linearization Method. IEEE Transactions on Cybernetics. 54(8). 4489–4501. 11 indexed citations

Yu, Xian, et al.. (2023). Kernel-based regularized iterative learning control of repetitive linear time-varying systems. Automatica. 154. 111047–111047. 5 indexed citations

10.

Yu, Xian, Zhongsheng Hou, & Marios M. Polycarpou. (2021). Distributed Data-Driven Iterative Learning Consensus Tracking for Nonlinear Discrete-Time Multiagent Systems. IEEE Transactions on Automatic Control. 67(7). 3670–3677. 58 indexed citations

11.

Yu, Xian, Zhongsheng Hou, & Marios M. Polycarpou. (2021). Controller-Dynamic-Linearization-Based Data-Driven ILC for Nonlinear Discrete-Time Systems With RBFNN. IEEE Transactions on Systems Man and Cybernetics Systems. 52(8). 4981–4992. 34 indexed citations

12.

Yu, Xian, Zhongsheng Hou, & Marios M. Polycarpou. (2021). A Data-Driven ILC Framework for a Class of Nonlinear Discrete-Time Systems. IEEE Transactions on Cybernetics. 52(7). 6143–6157. 36 indexed citations

13.

Yu, Xian, Tianshi Chen, Biqiang Mu, & Lennart Ljung. (2021). Kernel-based Regularized Iterative Learning Control of Repetitive Linear Time-varying Systems. IFAC-PapersOnLine. 54(7). 738–743. 3 indexed citations

14.

Yu, Xian, et al.. (2020). A Data-Driven Distributed Adaptive Control Approach for Nonlinear Multi-Agent Systems. IEEE Access. 8. 207884–207893. 6 indexed citations

15.

Yu, Xian, et al.. (2020). Data-Driven Iterative Learning Control for Nonlinear Discrete-Time MIMO Systems. IEEE Transactions on Neural Networks and Learning Systems. 32(3). 1136–1148. 56 indexed citations

16.

Hou, Zhongsheng, et al.. (2019). A Controller-Dynamic-Linearization-Based Model Predictive Control Approach for SISO Discrete-time Nonlinear Systems. Asian Control Conference. 1054–1059. 1 indexed citations

17.

Hou, Zhongsheng, et al.. (2019). Data-Driven Model-Free Adaptive Attitude Control Approach for Launch Vehicle With Virtual Reference Feedback Parameters Tuning Method. IEEE Access. 7. 54106–54116. 35 indexed citations

18.

Xiong, Shuangshuang, Zhongsheng Hou, & Xian Yu. (2019). Data-driven Formation Control for a Class of Unknown Heterogeneous Discrete-time MIMO Multi-agent System with Switching Topology. Asian Control Conference. 277–282. 1 indexed citations

19.

Yu, Xian, et al.. (2019). Model Free Adaptive Attitude Control of Launch Vehicle Using Iterative Feedback Tuning. 1196–1201. 3 indexed citations

20.

Yu, Xian, Zhongsheng Hou, & Chenkun Yin. (2017). Iterative learning control for discrete-time nonlinear systems based on adaptive tuning of 2D learning gain. 22. 3581–3586. 4 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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