Feiyu Lu

455 total citations
26 papers, 297 citations indexed

About

Feiyu Lu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Feiyu Lu has authored 26 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 12 papers in Mechanical Engineering and 9 papers in Mechanics of Materials. Recurrent topics in Feiyu Lu's work include Machine Fault Diagnosis Techniques (19 papers), Gear and Bearing Dynamics Analysis (12 papers) and Fault Detection and Control Systems (9 papers). Feiyu Lu is often cited by papers focused on Machine Fault Diagnosis Techniques (19 papers), Gear and Bearing Dynamics Analysis (12 papers) and Fault Detection and Control Systems (9 papers). Feiyu Lu collaborates with scholars based in China. Feiyu Lu's co-authors include Qingbin Tong, Jianjun Xu, Zengqiang Ma, Junci Cao, Xin Wang, Xin Wang, Ruifang Liu, Chun Zhang, Ziheng Zhang and Meng Wang and has published in prestigious journals such as Analytical Chemistry, Bioresource Technology and Chemical Engineering Journal.

In The Last Decade

Feiyu Lu

24 papers receiving 287 citations

Peers

Feiyu Lu
Xun Dong China
Yongwu Cai China
Ao Ding China
Jinghui Tian China
Renhe Yao China
Aidong Deng China
Manxi Lin Denmark
Feiya Lv China
Minqiang Deng China
Shuzhi Dong China
Xun Dong China
Feiyu Lu
Citations per year, relative to Feiyu Lu Feiyu Lu (= 1×) peers Xun Dong

Countries citing papers authored by Feiyu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Feiyu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feiyu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Feiyu Lu. A scholar is included among the top collaborators of Feiyu Lu 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 Feiyu Lu. Feiyu Lu 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
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Lu, Feiyu, et al.. (2025). Wavelet packet energy embedded autoencoder with dynamic weighting strategy for fault diagnosis under unknown working conditions. Reliability Engineering & System Safety. 265. 111528–111528. 1 indexed citations
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Zhang, Haonan, et al.. (2025). Ecological effects of biochar in heavy metal-contaminated soils from multidimensional perspective: Using meta-analysis. Bioresource Technology. 432. 132695–132695. 6 indexed citations
5.
Zhang, Chun, et al.. (2025). Biochar enhances the simultaneous stabilization of chromium and lead in contaminated soil by Penicillium oxalicum SL2. Chemical Engineering Journal. 509. 161522–161522. 8 indexed citations
6.
Lu, Feiyu, et al.. (2025). Sodium citrate-modification enhanced Fe3S4 for Cr(Ⅵ) removal from aqueous solution and soil. Environmental Pollution. 370. 125889–125889. 1 indexed citations
7.
Lu, Feiyu, et al.. (2025). A novel deep dynamic hybrid domain adaptation network with physical information enhancement for cross-machine fault diagnosis. Nondestructive Testing And Evaluation. 1–28. 2 indexed citations
8.
Lu, Feiyu, et al.. (2024). Envelope spectrum neural network with adaptive domain weight harmonization for intelligent bearing fault diagnosis under cross-machine scenarios. Advanced Engineering Informatics. 62. 102787–102787. 11 indexed citations
9.
Lu, Feiyu, et al.. (2024). Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples. Computers in Industry. 164. 104169–104169. 14 indexed citations
10.
Lu, Feiyu, et al.. (2024). Deep Multilayer Sparse Regularization Time- Varying Transfer Learning Networks With Dynamic Kullback–Leibler Divergence Weights for Mechanical Fault Diagnosis. IEEE Transactions on Industrial Informatics. 20(11). 13452–13462. 21 indexed citations
11.
Lu, Feiyu, Jiaxu Liu, Xue Zheng, et al.. (2024). High Resolving Power Electrospray Ionization Ion Mobility Spectrometer Based on Fourier Deconvolution Multiplexing. Analytical Chemistry. 96(43). 17423–17431. 3 indexed citations
12.
Lu, Feiyu, et al.. (2024). Towards multi-scene learning: A novel cross-domain adaptation model based on sparse filter for traction motor bearing fault diagnosis in high-speed EMU. Advanced Engineering Informatics. 60. 102536–102536. 34 indexed citations
13.
Lu, Feiyu, et al.. (2024). DPICEN: Deep physical information consistency embedded network for bearing fault diagnosis under unknown domain. Reliability Engineering & System Safety. 252. 110454–110454. 6 indexed citations
14.
Tong, Qingbin, et al.. (2024). Deep Reconstruction Transfer Convolutional Neural Network for Rolling Bearing Fault Diagnosis. Sensors. 24(7). 2079–2079. 4 indexed citations
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Tong, Qingbin, et al.. (2024). Interpretable parallel channel encoding convolutional neural network for bearing fault diagnosis. Measurement Science and Technology. 35(6). 66001–66001. 4 indexed citations
17.
Lu, Feiyu, et al.. (2022). Explainable 1DCNN with demodulated frequency features method for fault diagnosis of rolling bearing under time-varying speed conditions. Measurement Science and Technology. 33(9). 95022–95022. 21 indexed citations
18.
Lu, Feiyu, et al.. (2022). Unbalanced Bearing Fault Diagnosis Under Various Speeds Based on Spectrum Alignment and Deep Transfer Convolution Neural Network. IEEE Transactions on Industrial Informatics. 19(7). 8295–8306. 53 indexed citations
19.
Ma, Zengqiang, et al.. (2021). A parameter-adaptive ACMD method based on particle swarm optimization algorithm for rolling bearing fault diagnosis under variable speed. Journal of Mechanical Science and Technology. 35(5). 1851–1865. 17 indexed citations
20.
Ma, Zengqiang, et al.. (2020). An Adaptive Generalized Demodulation Method for Multimedia Spectrum Analysis is Applied in Rolling Bearing Fault Diagnosis. IEEE Access. 8. 20687–20699. 10 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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