He Yu

480 total citations
31 papers, 383 citations indexed

About

He Yu is a scholar working on Mechanical Engineering, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, He Yu has authored 31 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 16 papers in Control and Systems Engineering and 5 papers in Civil and Structural Engineering. Recurrent topics in He Yu's work include Machine Fault Diagnosis Techniques (15 papers), Fault Detection and Control Systems (6 papers) and Gear and Bearing Dynamics Analysis (6 papers). He Yu is often cited by papers focused on Machine Fault Diagnosis Techniques (15 papers), Fault Detection and Control Systems (6 papers) and Gear and Bearing Dynamics Analysis (6 papers). He Yu collaborates with scholars based in China, United Kingdom and Austria. He Yu's co-authors include Hongru Li, Junyan Liu, Yang Wang, Tianyu Yu, Mingjun Chen, Xinjian Wang, Yifan Li, Lin He, Yang Wang and Lijun Yang and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Sensors and Applied Surface Science.

In The Last Decade

He Yu

31 papers receiving 374 citations

Peers

He Yu
Jian Fu China
He Yu
Citations per year, relative to He Yu He Yu (= 1×) peers Jian Fu

Countries citing papers authored by He Yu

Since Specialization
Citations

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

Fields of papers citing papers by He Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Yu

This figure shows the co-authorship network connecting the top 25 collaborators of He Yu. A scholar is included among the top collaborators of He 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 He Yu. He 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, He, Alan J. McCue, Lirong Zheng, et al.. (2023). Fabrication of stable and selective non‐noble metal catalysts for selective alkyne hydrogenation. AIChE Journal. 70(3). 2 indexed citations
2.
Yu, He & Hongru Li. (2022). Pump remaining useful life prediction based on multi-source fusion and monotonicity-constrained particle filtering. Mechanical Systems and Signal Processing. 170. 108851–108851. 23 indexed citations
3.
Yu, He, et al.. (2021). Degradation state identification for hydraulic pumps using modified hierarchical decomposition and image processing. Measurement and Control. 55(1-2). 21–34. 3 indexed citations
6.
Li, Hongru, et al.. (2019). Randomness complexity as a family feature of rolling bearings’ degradation. Journal of Vibroengineering. 21(8). 2121–2139. 2 indexed citations
7.
Li, Hongru, et al.. (2019). Fault Prognosis of Hydraulic Pump Based on Bispectrum Entropy and Deep Belief Network. Measurement Science Review. 19(5). 195–203. 14 indexed citations
8.
Li, Hongru, et al.. (2019). Research on the Feature Selection of Rolling Bearings’ Degradation Features. Shock and Vibration. 2019(1). 5 indexed citations
9.
Li, Hongru, et al.. (2019). A Novel Health Indicator Based on Cointegration for Rolling Bearings’ Run-To-Failure Process. Sensors. 19(9). 2151–2151. 10 indexed citations
10.
11.
Yu, He, et al.. (2018). Rolling Bearing Fault Trend Prediction Based on Composite Weighted KELM. The International Journal of Acoustics and Vibration. 23(2). 3 indexed citations
12.
Wang, Xinjian, Junyan Liu, Lijun Yang, He Yu, & Yang Wang. (2018). Nano-sized amorphous carbon covered surface formed by selective laser melting of ink-printed (SLM-IP) copper (Cu) nanoparticles (NPs). Applied Surface Science. 448. 133–137. 17 indexed citations
13.
Li, Hongru, et al.. (2017). A Hybrid Domain Degradation Feature Extraction Method for Motor Bearing Based on Distance Evaluation Technique. International Journal of Rotating Machinery. 2017. 1–11. 6 indexed citations
14.
Yu, He, et al.. (2016). Rolling Bearing Degradation State Identification Based on LPP Optimized by GA. International Journal of Rotating Machinery. 2016. 1–10. 4 indexed citations
15.
Yu, He, et al.. (2016). Rolling Bearing Degradation State Identification Based on LCD Relative Spectral Entropy. Journal of Failure Analysis and Prevention. 16(4). 655–666. 11 indexed citations
16.
Yu, He. (2012). Application of Hyperspectral Remote Sensing Images Classification Method. Jisuanji fangzhen. 1 indexed citations
17.
Yu, He. (2012). EXPERIMENT ON COMPOSITE STIFFENED PANEL WITH THROUGHTHICKNESS DAMAGE UNDER COMPRESS LOAD. Jixie qiangdu. 1 indexed citations
18.
Yu, He. (2005). An improved method of using NMR T_2 distribution to evaluate pore size distribution. 33 indexed citations
19.
Yu, He. (2000). Thermal-mechanical Fatigue Crack Growth Behavior in Ni_3Al Superalloy. Cailiao gongcheng. 1 indexed citations
20.
Yu, He. (2000). NEURAL NETWORK ONLINE LEARNING FUZZY ADAPTIVE CONTROL AND ITS APPLICATION. Proceedings of the Csee. 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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