Ming Yu

2.0k total citations
89 papers, 1.5k citations indexed

About

Ming Yu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ming Yu has authored 89 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Control and Systems Engineering, 23 papers in Mechanical Engineering and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Ming Yu's work include Fault Detection and Control Systems (40 papers), Machine Fault Diagnosis Techniques (34 papers) and Advanced Control Systems Optimization (12 papers). Ming Yu is often cited by papers focused on Fault Detection and Control Systems (40 papers), Machine Fault Diagnosis Techniques (34 papers) and Advanced Control Systems Optimization (12 papers). Ming Yu collaborates with scholars based in China, Australia and Singapore. Ming Yu's co-authors include Hai Wang, Danwei Wang, Zhihong Man, Jinchuan Zheng, Zhenwei Cao, Huifang Kong, Ming Luo, Shai Arogeti, Canghua Jiang and Chang Boon Low and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ming Yu

81 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming Yu China	21	1.2k	390	348	298	146	89	1.5k
Rochdi Merzouki France	24	1.2k 1.0×	515 1.3×	185 0.5×	109 0.4×	92 0.6×	148	1.8k
Zehui Mao China	27	1.7k 1.5×	339 0.9×	108 0.3×	247 0.8×	194 1.3×	137	2.1k
Mustapha Ouladsine France	19	1.0k 0.9×	273 0.7×	208 0.6×	134 0.4×	130 0.9×	140	1.5k
Laifa Tao China	18	547 0.5×	207 0.5×	416 1.2×	397 1.3×	130 0.9×	62	1.1k
Nordin Saad Malaysia	19	879 0.8×	341 0.9×	190 0.5×	636 2.1×	158 1.1×	168	1.6k
Ali Ghaffari Iran	21	874 0.7×	428 1.1×	436 1.3×	170 0.6×	71 0.5×	95	1.4k
Jan Åslund Sweden	18	905 0.8×	161 0.4×	919 2.6×	276 0.9×	118 0.8×	71	1.5k
Didier Dumur France	19	868 0.7×	279 0.7×	271 0.8×	336 1.1×	72 0.5×	102	1.4k
Bart Besselink Netherlands	20	1.3k 1.1×	261 0.7×	762 2.2×	381 1.3×	43 0.3×	79	1.9k
Abdelkader Châari Tunisia	21	1.0k 0.9×	353 0.9×	144 0.4×	884 3.0×	219 1.5×	153	1.7k

Countries citing papers authored by Ming Yu

Since Specialization

Citations

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

Fields of papers citing papers by Ming Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yu

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

Hu, Youhao, Hai Wang, Amirmehdi Yazdani, et al.. (2024). Fixed-Time Adaptive Sliding Mode Control for Vehicular Electronic Throttle With Actuator Saturation Using Extreme Learning Machine. IEEE Transactions on Vehicular Technology. 73(12). 18483–18497. 2 indexed citations

Yu, Ming, et al.. (2024). Competitive degradation process based monitoring of steer-by-wire system under unknown degradation features. Measurement Science and Technology. 36(1). 16216–16216.

Yu, Ming, et al.. (2023). Monitoring of Electric Scooter With Intermittent Faults and Imperfect Maintenance: A Dynamic Observation Window Approach. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 3 indexed citations

Yu, Ming, et al.. (2023). Multistage Prognosis for Nonlinear Electromechanical System With Degradation Coupling and Maintenance. IEEE Transactions on Industrial Informatics. 20(4). 6009–6018. 2 indexed citations

Jiang, Wuhua, et al.. (2023). Obstacle Detection by Autonomous Vehicles: An Adaptive Neighborhood Search Radius Clustering Approach. Machines. 11(1). 54–54. 11 indexed citations

Jiang, Canghua, Jianhui Liu, Ming Yu, & Zhaowu Ping. (2023). Efficient delay and parameter estimation for nonlinear systems based on lifted IRK integrators with inexact Jacobians. Journal of Industrial and Management Optimization. 20(2). 647–663.

Jiang, Canghua, et al.. (2021). Direct optimal control for time-delay systems via a lifted multiple shooting algorithm. Journal of Industrial and Management Optimization. 18(5). 3771–3771. 1 indexed citations

Yu, Ming, et al.. (2021). Hybrid condition monitoring of nonlinear mechatronic system using biogeography-based optimization particle filter and optimized extreme learning machine. ISA Transactions. 120. 342–359. 8 indexed citations

Ping, Zhaowu, et al.. (2021). An improved neural network tracking control strategy for linear motor-driven inverted pendulum on a cart and experimental study. Neural Computing and Applications. 34(7). 5161–5168. 10 indexed citations

10.

Qian, Lijun, et al.. (2021). Application of tailor rolled blanks in optimum design of pure electric vehicle crashworthiness and lightweight. Thin-Walled Structures. 161. 107410–107410. 61 indexed citations

11.

Wang, Hai, et al.. (2020). Active Front Steering-Based Electronic Stability Control for Steer-by-Wire Vehicles via Terminal Sliding Mode and Extreme Learning Machine. IEEE Transactions on Vehicular Technology. 69(12). 14713–14726. 83 indexed citations

12.

Yu, Ming, et al.. (2018). Model-Based Quantitative Distributed Fault Diagnosis Using System Decomposition. 27. 115–119.

13.

Liu, Linfeng, Hai Wang, Ping He, et al.. (2017). Robust chattering-free sliding mode control of electronic throttle systems in drive-by-wire vehicles. Swinburne Research Bank (Swinburne University of Technology). 9513–9518. 3 indexed citations

14.

Yu, Ming & Dennis S. Bernstein. (2016). Combined state and parameter estimation and identifiability of state space realizations. 3054–3059. 1 indexed citations

15.

Yu, Ming, et al.. (2015). A novel sorting-based multi-objective model predictive control for PMSG wind turbines. 267–272. 4 indexed citations

16.

Yu, Ming, Yigang He, Hai Wang, et al.. (2015). Intelligent fault diagnosis of induction motor with stator winding fault. 730–735.

17.

Chen, Gang & Ming Yu. (2012). Finite-time tracking control for networked mechanical systems. Chinese Control Conference. 5764–5769. 1 indexed citations

18.

Yu, Ming. (2012). Synchronizing Control and Analysis of Distributed Passive Systems. Acta Automatica Sinica. 2 indexed citations

19.

Yu, Ming, Danwei Wang, Ming Luo, & Danhong Zhang. (2010). Multiple Faults Isolation for Hybrid Systems with Unknown Fault Pattern. Annual Conference of the PHM Society. 2(1). 2 indexed citations

20.

Huang, Lei, Danwei Wang, Yikai Shi, & Ming Yu. (2010). Mode dependent threshold for FDI in hybrid systems. 342. 1–5. 2 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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