Mingyue Yu

608 total citations
62 papers, 423 citations indexed

About

Mingyue Yu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Mingyue Yu has authored 62 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Control and Systems Engineering, 28 papers in Mechanical Engineering and 23 papers in Mechanics of Materials. Recurrent topics in Mingyue Yu's work include Machine Fault Diagnosis Techniques (47 papers), Fault Detection and Control Systems (26 papers) and Gear and Bearing Dynamics Analysis (24 papers). Mingyue Yu is often cited by papers focused on Machine Fault Diagnosis Techniques (47 papers), Fault Detection and Control Systems (26 papers) and Gear and Bearing Dynamics Analysis (24 papers). Mingyue Yu collaborates with scholars based in China and United States. Mingyue Yu's co-authors include Xiang Pan, Xinxing Ma, Hui Ma, Chenguang Zhao, Xumin Guo, Zhigang Feng, Dan Liao, Victor Chang, Gang Sun and Chunxue Yang and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, European Journal of Medicinal Chemistry and Review of Scientific Instruments.

In The Last Decade

Mingyue Yu

53 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyue Yu China 10 310 241 113 52 46 62 423
Aditya Sharma India 11 225 0.7× 221 0.9× 69 0.6× 51 1.0× 32 0.7× 20 383
Romano Patrick United States 12 418 1.3× 247 1.0× 79 0.7× 48 0.9× 68 1.5× 19 559
Michał Orkisz Poland 10 252 0.8× 134 0.6× 58 0.5× 95 1.8× 28 0.6× 30 362
M. Saimurugan India 10 347 1.1× 237 1.0× 103 0.9× 51 1.0× 30 0.7× 32 465
Biliang Lu China 11 368 1.2× 194 0.8× 103 0.9× 35 0.7× 29 0.6× 18 473
Muhammet Ünal Türkiye 11 210 0.7× 162 0.7× 124 1.1× 38 0.7× 84 1.8× 19 378
Song-Yu Han China 7 435 1.4× 233 1.0× 129 1.1× 58 1.1× 41 0.9× 12 539
Dongfang Zhao China 12 347 1.1× 205 0.9× 120 1.1× 47 0.9× 45 1.0× 28 471
Qiuyang Zhou China 13 318 1.0× 222 0.9× 92 0.8× 20 0.4× 56 1.2× 24 399
Qiuyu Song China 9 396 1.3× 208 0.9× 141 1.2× 31 0.6× 37 0.8× 20 480

Countries citing papers authored by Mingyue Yu

Since Specialization
Citations

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

Fields of papers citing papers by Mingyue Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyue Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyue Yu. A scholar is included among the top collaborators of Mingyue 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 Mingyue Yu. Mingyue Yu 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.
Yu, Mingyue, et al.. (2025). An intelligent fault diagnosis for rotating machine under strong noise based on cross-attention-driven spatial-temporal feature fusion and duplexing time sequence convolution optimization. Engineering Applications of Artificial Intelligence. 153. 110897–110897. 3 indexed citations
2.
Yu, Mingyue, et al.. (2025). Identification of compound faults of rolling bearing based on envelope-cross-correlation and improved 1D-LBP. Measurement Science and Technology. 36(4). 46120–46120.
3.
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Yu, Mingyue, et al.. (2025). A noise reduction method for rolling bearing based on improved Wiener filtering. Review of Scientific Instruments. 96(2). 2 indexed citations
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Yu, Mingyue, et al.. (2024). A novel noise reduction algorithm and its application in failure information extraction of bearing. Transactions of the Institute of Measurement and Control. 48(5). 997–1012.
7.
Yu, Mingyue, et al.. (2024). Adaptive local binarization feature mode decomposition and its application in combined failure identification of rolling bearings. Measurement Science and Technology. 35(10). 106134–106134. 2 indexed citations
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9.
Yu, Mingyue, Jinghan Zhang, & Liqiu Liu. (2024). Rub-impact fault identification based on EMD and stochastic resonance. International Journal of Industrial and Systems Engineering. 46(4). 509–530.
10.
Yu, Mingyue, et al.. (2023). Composite Fault Feature Enhancement Approach for Rolling Bearings Grounded on ITD and Entropy-based Weight Method. International Journal of Prognostics and Health Management. 14(1). 1 indexed citations
11.
Feng, Zhigang, et al.. (2023). A fault diagnosis for rolling bearing based on multilevel denoising method and improved deep residual network. Digital Signal Processing. 140. 104106–104106. 28 indexed citations
12.
Yu, Mingyue, Yi Zhang, & Chunxue Yang. (2023). Rolling bearing faults identification based on multiscale singular value. Advanced Engineering Informatics. 57. 102040–102040. 25 indexed citations
13.
Yu, Mingyue, et al.. (2023). Self-Adaptive Stochastic Resonance Rub-Impact Fault Identification Grounded on a New Signal Evaluation Index. Journal of Failure Analysis and Prevention. 23(5). 2118–2130. 3 indexed citations
14.
Yu, Mingyue, et al.. (2023). Compound faults identification for rolling bearing based on variable step-size multiscale weighted Lempel-Ziv complexity. Journal of Vibration and Control. 30(21-22). 5001–5017. 3 indexed citations
15.
Yu, Mingyue, et al.. (2022). Feature extraction of rolling bearing multiple faults based on correlation coefficient and Hjorth parameter. ISA Transactions. 129(Pt B). 442–458. 27 indexed citations
16.
Yu, Mingyue, et al.. (2022). Identification of rotor–stator rub-impact faults based on dual complexity parameters. Journal of Vibration and Control. 29(19-20). 4526–4540. 2 indexed citations
17.
Yu, Mingyue, et al.. (2022). A research on rubbing feature extraction based on information fusion and signal decomposition algorithm. Noise & Vibration Worldwide. 53(4-5). 172–188.
18.
Cui, Jianguo, et al.. (2021). Fault Diagnosis Method of Aircraft Anti-skid Brake System Based on GWO-PNN. 5402–5406. 6 indexed citations
19.
Yu, Mingyue & Fengjun Tian. (2015). Characteristic analysis on the rubbing of rotor blade-casing of aero-engine based on Hilbert transform. Journal of Vibroengineering. 17(2). 733–742. 1 indexed citations
20.
Yu, Mingyue, et al.. (2015). Aero-engine rotor-static rubbing characteristic analysis based on casing acceleration signal. Journal of Vibroengineering. 17(8). 4180–4192. 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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