Yewei Yu

622 total citations
36 papers, 382 citations indexed

About

Yewei Yu is a scholar working on Control and Systems Engineering, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, Yewei Yu has authored 36 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Control and Systems Engineering, 18 papers in Materials Chemistry and 7 papers in Aerospace Engineering. Recurrent topics in Yewei Yu's work include Piezoelectric Actuators and Control (23 papers), Iterative Learning Control Systems (19 papers) and Shape Memory Alloy Transformations (18 papers). Yewei Yu is often cited by papers focused on Piezoelectric Actuators and Control (23 papers), Iterative Learning Control Systems (19 papers) and Shape Memory Alloy Transformations (18 papers). Yewei Yu collaborates with scholars based in China, Canada and Sweden. Yewei Yu's co-authors include Miaolei Zhou, Chen Zhang, Yifan Wang, Xiuyu Zhang, Chun‐Yi Su, Zhongxiang Shen, Hengjiang Ren, Xiuli Yan, Zhiwu Han and Zhen‐Ni Guo and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and Mechanical Systems and Signal Processing.

In The Last Decade

Yewei Yu

35 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yewei Yu China	11	253	126	80	67	40	36	382
Yangqiu Xie China	8	350 1.4×	57 0.5×	72 0.9×	56 0.8×	76 1.9×	17	384
Darren F. Kavanagh Ireland	10	137 0.5×	55 0.4×	48 0.6×	170 2.5×	112 2.8×	27	327
H.P. Wang China	9	167 0.7×	34 0.3×	25 0.3×	66 1.0×	100 2.5×	13	333
Xiaoqiang Chen China	9	56 0.2×	45 0.4×	46 0.6×	119 1.8×	88 2.2×	72	298
Dezhi Chen China	10	55 0.2×	42 0.3×	101 1.3×	186 2.8×	164 4.1×	75	353
Jiawei Zhang China	11	51 0.2×	32 0.3×	53 0.7×	99 1.5×	80 2.0×	41	293

Countries citing papers authored by Yewei Yu

Since Specialization

Citations

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

Fields of papers citing papers by Yewei Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yewei Yu

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

Yu, Yewei, et al.. (2025). Finite-Iteration Learning Tracking Control of Magnetic Shape Memory Alloy Actuator Based on Neural Network. IEEE Transactions on Circuits & Systems II Express Briefs. 72(12). 1987–1991.

Yu, Yewei, et al.. (2024). Event-Triggered Adaptive Trajectory Tracking Control for Hysteretic Nonlinear Systems With Fixed-Time Performance. IEEE Transactions on Systems Man and Cybernetics Systems. 54(9). 5327–5338. 4 indexed citations

Zhou, Miaolei, et al.. (2024). Neural Network Based Iterative Learning Control for Dynamic Hysteresis and Uncertainties in Magnetic Shape Memory Alloy Actuator. IEEE Transactions on Circuits and Systems I Regular Papers. 71(6). 2885–2896. 7 indexed citations

Zhou, Miaolei, et al.. (2024). Duhem model and inverse compensation controller for trajectory tracking in piezo-actuated micropositioning stage based on neural network. Sensors and Actuators A Physical. 377. 115685–115685. 4 indexed citations

Wang, Mengyao, et al.. (2024). Rate-Dependent Hysteresis Model Based on LS-SVM for Magnetic Shape Memory Alloy Actuator. Actuators. 14(1). 4–4. 1 indexed citations

Yu, Yewei, et al.. (2024). Iterative Learning Control Based on Neural Network and Its Application to Ni-Mn-Ga Alloy Actuator With Local Lipschitz Nonlinearity. IEEE Transactions on Industrial Informatics. 20(6). 8138–8148. 5 indexed citations

Wang, Yinan, et al.. (2024). Dynamic graph attention network based on multi-scale frequency domain features for motion imagery decoding in hemiplegic patients. Frontiers in Neuroscience. 18. 1493264–1493264. 1 indexed citations

Zhou, Miaolei, et al.. (2023). Data-Driven Adaptive Control With Hopfield Neural Network–Based Estimator for Piezo-Actuated Stage With Unknown Hysteresis Input. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 6 indexed citations

Yu, Yewei, et al.. (2023). Finite-Time Adaptive Quantized Motion Control for Hysteretic Systems With Application to Piezoelectric-Driven Micropositioning Stage. IEEE/ASME Transactions on Mechatronics. 28(5). 2541–2552. 23 indexed citations

10.

Zhou, Miaolei, et al.. (2023). Data-Driven Adaptive Tracking Control of Piezoelectric-Actuated Motion Stage Using a Multi-Factor Objective Function. IEEE Transactions on Circuits & Systems II Express Briefs. 71(4). 2189–2193. 1 indexed citations

11.

Zhou, Miaolei, et al.. (2023). Sliding Mode Iterative Learning Control With Iteration-Dependent Parameter Learning Mechanism for Nonlinear Systems and Its Application. IEEE Transactions on Automation Science and Engineering. 21(4). 7052–7063. 10 indexed citations

12.

Yu, Yewei, et al.. (2023). Predefined–Time Adaptive Control of a Piezoelectric–Driven Motion System With Time–Varying Output Constraint. IEEE Transactions on Circuits & Systems II Express Briefs. 70(7). 2605–2609. 8 indexed citations

13.

Yu, Yewei, et al.. (2023). Neural Network Adaptive Control of Magnetic Shape Memory Alloy Actuator With Time Delay Based on Composite NARMAX Model. IEEE Transactions on Circuits and Systems I Regular Papers. 70(8). 3336–3346. 10 indexed citations

14.

Wang, Yifan, et al.. (2023). Precise motion tracking of piezo-actuated stages via a neural network-based data-driven adaptive predictive controller. Nonlinear Dynamics. 111(20). 19047–19072. 5 indexed citations

15.

Yu, Yewei, et al.. (2022). Hysteresis Modeling and Analysis of Magnetic Shape Memory Alloy-Driven Actuator. IEEE Transactions on Nanotechnology. 21. 390–398. 7 indexed citations

16.

Yu, Yewei, et al.. (2022). Neural network based iterative learning control for magnetic shape memory alloy actuator with iteration-dependent uncertainties. Mechanical Systems and Signal Processing. 187. 109950–109950. 36 indexed citations

17.

Zhang, Chen, Yewei Yu, Yifan Wang, Zhiwu Han, & Miaolei Zhou. (2021). Chaotic Neural Network-Based Hysteresis Modeling With Dynamic Operator for Magnetic Shape Memory Alloy Actuator. IEEE Transactions on Magnetics. 57(6). 1–4. 13 indexed citations

18.

Yu, Yewei, Chen Zhang, Yifan Wang, & Miaolei Zhou. (2021). Neural-Network-Based Iterative Learning Control for Hysteresis in a Magnetic Shape Memory Alloy Actuator. IEEE/ASME Transactions on Mechatronics. 27(2). 928–939. 64 indexed citations

19.

Yu, Yewei, Chen Zhang, Zhiwu Han, & Miaolei Zhou. (2021). Hysteresis Modeling of Magnetic Shape Memory Alloy Actuator Based on Volterra Series. IEEE Transactions on Magnetics. 57(7). 1–4. 4 indexed citations

20.

Zhou, Miaolei, et al.. (2020). Iterative Learning and Fractional Order PID Hybrid Control for a Piezoelectric Micro-Positioning Platform. IEEE Access. 8. 144654–144664. 9 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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