Changfeng Yan

1.6k total citations
115 papers, 1.1k citations indexed

About

Changfeng Yan is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Changfeng Yan has authored 115 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Mechanical Engineering, 47 papers in Control and Systems Engineering and 44 papers in Mechanics of Materials. Recurrent topics in Changfeng Yan's work include Gear and Bearing Dynamics Analysis (48 papers), Machine Fault Diagnosis Techniques (41 papers) and Engineering Diagnostics and Reliability (18 papers). Changfeng Yan is often cited by papers focused on Gear and Bearing Dynamics Analysis (48 papers), Machine Fault Diagnosis Techniques (41 papers) and Engineering Diagnostics and Reliability (18 papers). Changfeng Yan collaborates with scholars based in China, Germany and Australia. Changfeng Yan's co-authors include Lixiao Wu, Armin Gölzhäuser, M. Grunze, Yaofeng Liu, Michael Zharnikov, Shengqiang Li, Zhiyuan Rui, Qiang Li, S. Geyer and Ruicheng Feng and has published in prestigious journals such as Advanced Materials, Applied Physics Letters and Advanced Functional Materials.

In The Last Decade

Changfeng Yan

100 papers receiving 1.0k citations

Peers

Changfeng Yan
Wolfgang Fischer Switzerland
Pengbo Liu China
Leiting Dong China
Jiwen Cui China
Xing Li China
Xiaojie Zhou China
Dawei Dong China
Ming Lü China
Kenta Goto Japan
Wolfgang Fischer Switzerland
Changfeng Yan
Citations per year, relative to Changfeng Yan Changfeng Yan (= 1×) peers Wolfgang Fischer

Countries citing papers authored by Changfeng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Changfeng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changfeng Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Changfeng Yan. A scholar is included among the top collaborators of Changfeng Yan 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 Changfeng Yan. Changfeng Yan 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.
Du, Wenjing, et al.. (2025). Lightweight physical information diffusion model for fault diagnosis of rolling bearings with imbalanced sample. Measurement Science and Technology. 36(11). 116005–116005.
2.
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Yang, Haoran, et al.. (2025). Wear prediction of internal combustion engine cylinder liners based on adaptive generative adversarial networks. Results in Engineering. 27. 105740–105740. 2 indexed citations
4.
Shi, Zhifeng, et al.. (2025). Dynamic modeling of cylindrical roller bearings considering raceway crack defects. Mechanical Systems and Signal Processing. 237. 112981–112981. 1 indexed citations
5.
Liu, Rui, et al.. (2025). The influence of different surface textures on tribological property for cylinder liner-piston ring during running-in. Surface Topography Metrology and Properties. 13(1). 15030–15030.
6.
Liu, Bin, Changfeng Yan, Yaofeng Liu, et al.. (2024). ISEANet: An interpretable subdomain enhanced adaptive network for unsupervised cross-domain fault diagnosis of rolling bearing. Advanced Engineering Informatics. 62. 102610–102610. 37 indexed citations
7.
Yan, Changfeng, et al.. (2024). Multi-rolling element faults diagnosis of rolling bearing based on time-frequency analysis and multi-curves extraction. Measurement Science and Technology. 35(10). 106113–106113. 7 indexed citations
8.
Li, Shengqiang, et al.. (2024). A compound fault diagnosis method for rolling bearings based on the IPSO-MOMEDA and Teager energy operator. Measurement Science and Technology. 35(12). 122002–122002. 7 indexed citations
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10.
Yan, Changfeng, et al.. (2024). Slipping characteristics of rolling element bearing considering local defects and cage flexibility. Measurement Science and Technology. 36(2). 26106–26106. 1 indexed citations
11.
Yan, Changfeng, et al.. (2024). Dual-feature enhanced hybrid convolutional network for imbalanced fault diagnosis of rolling bearings. Measurement Science and Technology. 36(1). 16023–16023. 1 indexed citations
12.
Li, Shengqiang, et al.. (2024). A systematic review of diagnosis methods for rolling bearing compound faults: research status, challenges, and future prospects. Measurement Science and Technology. 36(1). 12008–12008. 5 indexed citations
13.
Yan, Changfeng, et al.. (2023). Compound fault diagnosis method for rolling bearings based on the multipoint kurtosis spectrum and AO-MOMDEA. Measurement Science and Technology. 34(9). 95012–95012. 14 indexed citations
14.
Liu, Yaofeng, et al.. (2023). Investigation on characteristics of vibration interaction between supporting bearings in rotor-bearing system. Measurement. 216. 113000–113000. 14 indexed citations
15.
Shi, Zhifeng, et al.. (2023). Influences of inclined crack defects on vibration characteristics of cylindrical roller bearings. Mechanical Systems and Signal Processing. 207. 110945–110945. 12 indexed citations
16.
Yan, Changfeng, et al.. (2022). Health Condition Identification of Rolling Element Bearing Based on Gradient of Features Matrix and MDDCs-MRSVD. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 8 indexed citations
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18.
Yan, Changfeng, et al.. (2022). Real-time identification of performance degradation stages of rolling element bearings by RVCFI. Measurement Science and Technology. 33(8). 85021–85021. 5 indexed citations
19.
Yan, Changfeng, et al.. (2021). Health Indicator of Bearing Constructed by rms-CUMSUM and GRRMD-CUMSUM With Multifeatures of Envelope Spectrum. IEEE Transactions on Instrumentation and Measurement. 70. 1–16. 34 indexed citations
20.
Yan, Changfeng, Hao Zhang, & Lixiao Wu. (2009). A Novel Real-Time Fault Diagnostic System for Steam Turbine Generator Set by Using Strata Hierarchical Artificial Neural Network. Energy and Power Engineering. 1(1). 7–16. 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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