Pengfei Liang

2.9k total citations · 6 hit papers
64 papers, 2.1k citations indexed

About

Pengfei Liang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Pengfei Liang has authored 64 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Control and Systems Engineering, 24 papers in Mechanical Engineering and 14 papers in Mechanics of Materials. Recurrent topics in Pengfei Liang's work include Machine Fault Diagnosis Techniques (34 papers), Gear and Bearing Dynamics Analysis (16 papers) and Fault Detection and Control Systems (15 papers). Pengfei Liang is often cited by papers focused on Machine Fault Diagnosis Techniques (34 papers), Gear and Bearing Dynamics Analysis (16 papers) and Fault Detection and Control Systems (15 papers). Pengfei Liang collaborates with scholars based in China, Macao and Canada. Pengfei Liang's co-authors include N.K. Bose, Chao Deng, Xiaoming Yuan, Jun Wu, Zhi-Xin Yang, Lijie Zhang, Bin Wang, Xuefang Xu, Zihan Zhang and Siyuan Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Biological Macromolecules.

In The Last Decade

Pengfei Liang

55 papers receiving 2.0k citations

Hit Papers

Intelligent fault diagnosis of rotating machinery via wav... 2020 2026 2022 2024 2020 2022 2023 2024 2025 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Intelligent fault diagnosis of rotating machinery via wavelet transform, generative adversarial nets and convolutional neural network
    2020 185 citations Pengfei Liang, Chao Deng et al. profile →
  2. Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment
    2022 174 citations Pengfei Liang, Xiaoming Yuan et al. Engineering Applications of Artificial Intelligence profile →
  3. Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network
    2023 101 citations Pengfei Liang, Bin Wang et al. Advanced Engineering Informatics profile →
  4. Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data
    2024 60 citations Pengfei Liang, Xuefang Xu et al. Engineering Applications of Artificial Intelligence profile →
  5. Few-shot fault diagnosis of axial piston pump based on prior knowledge-embedded meta learning vision transformer under variable operating conditions
    2025 23 citations Junhui Hu, Jitong Zhang et al. Expert Systems with Applications profile →
  6. WCFormer: An interpretable deep learning framework for heart sound signal analysis and automated diagnosis of cardiovascular diseases
    2025 13 citations Junhui Hu, Xiaoming Yuan et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengfei Liang China 23 1.3k 722 468 391 212 64 2.1k
Xuyun Fu China 13 932 0.7× 534 0.7× 288 0.6× 377 1.0× 194 0.9× 35 1.6k
Shisheng Zhong China 23 1.4k 1.1× 713 1.0× 431 0.9× 677 1.7× 351 1.7× 115 2.7k
Lei Deng China 26 1.2k 0.9× 739 1.0× 394 0.8× 199 0.5× 281 1.3× 103 2.2k
Xinhua Yang China 15 757 0.6× 644 0.9× 404 0.9× 397 1.0× 210 1.0× 108 2.1k
Xiaoli Zhao China 24 1.4k 1.1× 733 1.0× 439 0.9× 409 1.0× 143 0.7× 70 2.0k
Tianfu Li China 23 2.0k 1.5× 877 1.2× 578 1.2× 802 2.1× 231 1.1× 56 3.3k
Kun Yu China 25 1.6k 1.2× 1.1k 1.5× 546 1.2× 290 0.7× 163 0.8× 83 2.4k
Xinwei Jiang China 18 1.6k 1.2× 936 1.3× 549 1.2× 446 1.1× 182 0.9× 53 2.8k

Countries citing papers authored by Pengfei Liang

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Liang. A scholar is included among the top collaborators of Pengfei Liang 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 Pengfei Liang. Pengfei Liang 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.
Hu, Junhui, et al.. (2025). Few-shot fault diagnosis of axial piston pump based on prior knowledge-embedded meta learning vision transformer under variable operating conditions. Expert Systems with Applications. 269. 126452–126452. 23 indexed citations breakdown →
2.
Zhang, Jitong, et al.. (2025). A dual model joint learning framework for intelligent fault diagnosis of rotating machinery under noisy labels. Advanced Engineering Informatics. 69. 104024–104024.
3.
Liang, Pengfei, et al.. (2025). Fault Transfer Diagnosis of Hydraulic Pump via Dynamic Simulation and an Improved Domain Adversarial Neural Network. IEEE Transactions on Instrumentation and Measurement. 74. 1–10. 4 indexed citations
4.
Cheng, Yiwei, et al.. (2025). A local and global multi-head relation self-attention network for fault diagnosis of rotating machinery under noisy environments. Applied Soft Computing. 176. 113138–113138. 2 indexed citations
5.
6.
Liang, Zhiqiang, Yuejian Chen, Yihao Sun, et al.. (2025). Investigation on the Performance of a New Type of Marine Permanent Magnet Vibration- Damping Thrust Bearing. IEEE Sensors Journal. 25(15). 29091–29098.
7.
Hu, Junhui, et al.. (2025). WCFormer: An interpretable deep learning framework for heart sound signal analysis and automated diagnosis of cardiovascular diseases. Expert Systems with Applications. 276. 127238–127238. 13 indexed citations breakdown →
8.
Wang, Xiangfeng, et al.. (2025). MSSCNN: An intelligent heart disease diagnosis method based on heart sound signals under limited data. Applied Acoustics. 240. 110979–110979. 1 indexed citations
9.
He, Changbo, et al.. (2025). An improved lightweight residual network model deployed on the edge device for the unsupervised cross-domain fault diagnosis. Expert Systems with Applications. 296. 129106–129106. 2 indexed citations
10.
Li, Ying, et al.. (2024). Semi-supervised meta-path space extended graph convolution network for intelligent fault diagnosis of rotating machinery under time-varying speeds. Reliability Engineering & System Safety. 251. 110363–110363. 37 indexed citations
11.
Ma, Wenjun, Pengfei Liang, Xiaoyu Wang, et al.. (2024). Anti-inflammatory potential of mycoprotein peptides obtained from fermentation of Schizophyllum commune DS1 with young apples. International Journal of Biological Macromolecules. 281(Pt 4). 136638–136638. 5 indexed citations
12.
Yuan, Xiaoming, et al.. (2024). Intelligent fault diagnosis of rolling bearing based on an active federated local subdomain adaptation method. Advanced Engineering Informatics. 62. 102807–102807. 10 indexed citations
13.
Liang, Pengfei, et al.. (2024). Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data. Engineering Applications of Artificial Intelligence. 133. 108146–108146. 60 indexed citations breakdown →
14.
Li, Guoqiang, et al.. (2024). Wavelet Knowledge-Driven Transformer for Intelligent Machinery Fault Detection With Zero-Fault Samples. IEEE Sensors Journal. 24(21). 35986–35996. 7 indexed citations
15.
Shi, Peiming, et al.. (2023). TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions. Reliability Engineering & System Safety. 240. 109575–109575. 38 indexed citations
16.
Liang, Pengfei, et al.. (2023). Semisupervised Subdomain Adaptation Graph Convolutional Network for Fault Transfer Diagnosis of Rotating Machinery Under Time-Varying Speeds. IEEE/ASME Transactions on Mechatronics. 29(1). 730–741. 72 indexed citations
17.
Zhang, Lijie, Bin Wang, Pengfei Liang, Xiaoming Yuan, & Na Li. (2023). Semi-supervised fault diagnosis of gearbox based on feature pre-extraction mechanism and improved generative adversarial networks under limited labeled samples and noise environment. Advanced Engineering Informatics. 58. 102211–102211. 38 indexed citations
18.
Liang, Pengfei, Chao Deng, Xiaoming Yuan, & Lijie Zhang. (2022). A deep capsule neural network with data augmentation generative adversarial networks for single and simultaneous fault diagnosis of wind turbine gearbox. ISA Transactions. 135. 462–475. 42 indexed citations
19.
Zhang, Lijie, Bin Wang, Xiaoming Yuan, & Pengfei Liang. (2022). Remaining Useful Life Prediction via Improved CNN, GRU and Residual Attention Mechanism With Soft Thresholding. IEEE Sensors Journal. 22(15). 15178–15190. 37 indexed citations
20.
Liang, Pengfei, Chao Deng, Jun Wu, et al.. (2019). Intelligent Fault Diagnosis via Semisupervised Generative Adversarial Nets and Wavelet Transform. IEEE Transactions on Instrumentation and Measurement. 69(7). 4659–4671. 92 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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