Linfeng Deng

590 total citations · 1 hit paper
37 papers, 398 citations indexed

About

Linfeng Deng is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Linfeng Deng has authored 37 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Control and Systems Engineering, 24 papers in Mechanical Engineering and 11 papers in Mechanics of Materials. Recurrent topics in Linfeng Deng's work include Machine Fault Diagnosis Techniques (26 papers), Gear and Bearing Dynamics Analysis (22 papers) and Engineering Diagnostics and Reliability (10 papers). Linfeng Deng is often cited by papers focused on Machine Fault Diagnosis Techniques (26 papers), Gear and Bearing Dynamics Analysis (22 papers) and Engineering Diagnostics and Reliability (10 papers). Linfeng Deng collaborates with scholars based in China, United States and Australia. Linfeng Deng's co-authors include Qi Zhang, Rongzhen Zhao, Lei Yang, Pengfei Wang, Zhong Lin Wang, Dongfeng Diao, Ping Yang, Weiqiang Zhang, Aihua Zhang and Wei Li and has published in prestigious journals such as Nano Energy, Tribology International and Measurement Science and Technology.

In The Last Decade

Linfeng Deng

32 papers receiving 385 citations

Hit Papers

An Intelligent Fault Diagnosis Method of Rolling Bearings... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linfeng Deng China 10 220 175 123 105 61 37 398
Xiong Hu China 10 91 0.4× 119 0.7× 65 0.5× 65 0.6× 100 1.6× 39 363
Yueming Li China 11 163 0.7× 130 0.7× 331 2.7× 85 0.8× 124 2.0× 27 506
Ismael Payo Spain 12 188 0.9× 97 0.6× 210 1.7× 49 0.5× 12 0.2× 35 403
Ziling Zhang China 11 49 0.2× 202 1.2× 83 0.7× 63 0.6× 31 0.5× 37 379
Frédéric Chapelle France 12 174 0.8× 140 0.8× 239 1.9× 23 0.2× 16 0.3× 38 465
Xiangyu Zhao China 9 103 0.5× 197 1.1× 93 0.8× 18 0.2× 12 0.2× 32 339
Kaixian Ba China 15 215 1.0× 313 1.8× 322 2.6× 12 0.1× 25 0.4× 57 550
Liufeng Zhang China 7 153 0.7× 287 1.6× 124 1.0× 87 0.8× 14 0.2× 9 434
Xuhong Miao China 11 34 0.2× 32 0.2× 168 1.4× 44 0.4× 162 2.7× 34 311

Countries citing papers authored by Linfeng Deng

Since Specialization
Citations

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

Fields of papers citing papers by Linfeng Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linfeng Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Linfeng Deng. A scholar is included among the top collaborators of Linfeng Deng 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 Linfeng Deng. Linfeng Deng 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.
Deng, Linfeng, et al.. (2025). Remaining Useful Life Prediction of Rolling Bearings Based on Multi-Level Residual Connection CN-BiGRU. Journal of Vibration Engineering & Technologies. 13(7).
2.
Deng, Linfeng, et al.. (2025). A novel approach for bearing fault diagnosis in complex environments using PSO-CWT and SA-FPN. Measurement. 249. 117027–117027. 1 indexed citations
3.
Zhao, Rongzhen, et al.. (2025). Multi-source contrastive cluster center method for cross-domain bearing fault identification. Engineering Applications of Artificial Intelligence. 161. 112056–112056. 1 indexed citations
5.
Deng, Linfeng, et al.. (2025). A noise-robust and cross-domain few-shot fault diagnosis method of rolling bearings based on TFC-FPN. Measurement Science and Technology. 36(4). 46127–46127.
6.
Zheng, Yuqiao, et al.. (2025). Multimetric hypergraph embedding for dimensionality reduction in rotor fault diagnosis. Advanced Engineering Informatics. 66. 103487–103487. 1 indexed citations
7.
Chen, Sicheng, et al.. (2025). From single- to multi-channel systems: Advancing handwriting forgery detection with triboelectric nanogenerator arrays. Nano Energy. 139. 110925–110925. 3 indexed citations
8.
Zhao, Rongzhen, et al.. (2025). Dimensionality reduction of rolling bearing fault data based on graph-embedded semi-supervised deep auto-encoders. Engineering Applications of Artificial Intelligence. 152. 110689–110689. 1 indexed citations
9.
Deng, Linfeng, et al.. (2024). MRNet: rolling bearing fault diagnosis in noisy environment based on multi-scale residual convolutional network. Measurement Science and Technology. 35(12). 126136–126136. 1 indexed citations
10.
Deng, Linfeng, et al.. (2024). PSO-optimized SSLMS adaptive filter for signal denoising of rolling bearings under small sample condition. Measurement Science and Technology. 35(9). 96115–96115. 1 indexed citations
11.
Deng, Linfeng, et al.. (2024). SRCAE-STCBiGRU: a fused deep learning model for remaining useful life prediction of rolling bearings. Signal Image and Video Processing. 18(12). 9119–9140. 2 indexed citations
12.
Deng, Linfeng, et al.. (2024). Shuffle-fusion pyramid network for bearing fault diagnosis under noisy environments. Measurement Science and Technology. 35(11). 116133–116133. 1 indexed citations
13.
Deng, Linfeng, et al.. (2024). Effect of composite textured rough surfaces on the lubrication performance of cylindrical roller bearings. Industrial Lubrication and Tribology. 76(6). 852–863. 7 indexed citations
14.
Deng, Linfeng, et al.. (2024). An intelligent hybrid deep learning model for rolling bearing remaining useful life prediction. Nondestructive Testing And Evaluation. 40(6). 2670–2697. 17 indexed citations
15.
Deng, Linfeng, et al.. (2023). Intelligent prediction of rolling bearing remaining useful life based on probabilistic DeepAR-Transformer model. Measurement Science and Technology. 35(1). 15107–15107. 16 indexed citations
16.
Zhang, Qi & Linfeng Deng. (2023). An Intelligent Fault Diagnosis Method of Rolling Bearings Based on Short-Time Fourier Transform and Convolutional Neural Network. Journal of Failure Analysis and Prevention. 23(2). 795–811. 78 indexed citations breakdown →
17.
Wang, Jiaxuan, et al.. (2023). Dimensionality reduction of rotor fault dataset based on joint embedding of multi-class graphs. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 26(1). 1 indexed citations
18.
Zhao, Rongzhen, et al.. (2020). Rolling Bearing Fault Diagnosis Using a Deep Convolutional Autoencoding Network and Improved Gustafson–Kessel Clustering. Shock and Vibration. 2020. 1–17. 7 indexed citations
19.
Deng, Linfeng & Rongzhen Zhao. (2014). An improved spline-local mean decomposition and its application to vibration analysis of rotating machinery with rub-impact fault. Journal of Vibroengineering. 16(1). 414–433. 18 indexed citations
20.
Deng, Linfeng, et al.. (2010). An Improved Fuzzy Neural Network and Its Application in Machine Fault Diagnosis. 23. 218–221. 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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