Lingli Cui

6.1k total citations · 8 hit papers
159 papers, 4.8k citations indexed

About

Lingli Cui is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Lingli Cui has authored 159 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Control and Systems Engineering, 90 papers in Mechanical Engineering and 34 papers in Mechanics of Materials. Recurrent topics in Lingli Cui's work include Machine Fault Diagnosis Techniques (126 papers), Gear and Bearing Dynamics Analysis (84 papers) and Fault Detection and Control Systems (49 papers). Lingli Cui is often cited by papers focused on Machine Fault Diagnosis Techniques (126 papers), Gear and Bearing Dynamics Analysis (84 papers) and Fault Detection and Control Systems (49 papers). Lingli Cui collaborates with scholars based in China, Japan and South Korea. Lingli Cui's co-authors include Huaqing Wang, Dongdong Liu, Liuyang Song, Dezun Zhao, Xin Wang, Jinfeng Huang, Li Shi, Weidong Cheng, Jianyu Zhang and Seung‐Chul Lee and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Access.

In The Last Decade

Lingli Cui

153 papers receiving 4.7k citations

Hit Papers

A novel convolutional neural network based fault recognit... 2018 2026 2020 2023 2018 2023 2023 2024 2024 50 100 150 200 250
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. A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals
    2018 286 citations Huaqing Wang, Liuyang Song et al. profile →
  2. A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication
    2023 137 citations Dongdong Liu, Lingli Cui et al. profile →
  3. Rotating Machinery Fault Diagnosis Under Time-Varying Speeds: A Review
    2023 109 citations Dongdong Liu, Lingli Cui et al. IEEE Sensors Journal profile →
  4. Frequency-chirprate synchrosqueezing-based scaling chirplet transform for wind turbine nonstationary fault feature time–frequency representation
    2024 85 citations Dezun Zhao, Honghao Wang et al. Mechanical Systems and Signal Processing profile →
  5. Digital twin-driven graph domain adaptation neural network for remaining useful life prediction of rolling bearing
    2024 78 citations Lingli Cui, Dongdong Liu et al. Reliability Engineering & System Safety profile →
  6. Adaptive thresholding and coordinate attention-based tree-inspired network for aero-engine bearing health monitoring under strong noise
    2024 65 citations Dezun Zhao, Wenbin Cai et al. Advanced Engineering Informatics profile →
  7. An intelligent bearing fault diagnosis framework: one-dimensional improved self-attention-enhanced CNN and empirical wavelet transform
    2024 59 citations Dezun Zhao, Lingli Cui et al. profile →
  8. Multi-perception graph convolutional tree-embedded network for aero-engine bearing health monitoring with unbalanced data
    2025 33 citations Dezun Zhao, Wenbin Cai et al. Reliability Engineering & System Safety profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingli Cui China 37 3.9k 2.6k 1.2k 492 403 159 4.8k
Xingxing Jiang China 37 3.4k 0.9× 2.1k 0.8× 1.1k 0.9× 626 1.3× 477 1.2× 144 4.5k
Zhongkui Zhu China 39 3.8k 1.0× 2.4k 0.9× 1.2k 1.0× 587 1.2× 561 1.4× 168 4.7k
Xiaoan Yan China 36 3.0k 0.8× 1.9k 0.7× 1.1k 0.9× 331 0.7× 502 1.2× 94 4.0k
René–Vinicio Sánchez Ecuador 30 3.2k 0.8× 2.1k 0.8× 1.2k 1.0× 283 0.6× 517 1.3× 112 4.3k
Konstantinos Gryllias Belgium 29 3.1k 0.8× 2.0k 0.7× 1.0k 0.8× 510 1.0× 658 1.6× 136 4.1k
Qing Ni China 31 2.5k 0.7× 1.9k 0.7× 906 0.7× 316 0.6× 375 0.9× 72 3.6k
Minqiang Xu China 36 2.7k 0.7× 2.0k 0.8× 963 0.8× 342 0.7× 441 1.1× 136 4.1k
Diego Cabrera Ecuador 27 2.7k 0.7× 1.8k 0.7× 941 0.8× 249 0.5× 497 1.2× 97 3.6k
Ming Zhao China 41 5.1k 1.3× 3.6k 1.4× 1.6k 1.3× 972 2.0× 633 1.6× 165 6.4k
Junsheng Cheng China 27 2.9k 0.8× 1.9k 0.7× 988 0.8× 337 0.7× 459 1.1× 75 3.6k

Countries citing papers authored by Lingli Cui

Since Specialization
Citations

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

Fields of papers citing papers by Lingli Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingli Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Lingli Cui. A scholar is included among the top collaborators of Lingli Cui 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 Lingli Cui. Lingli Cui 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.
Zhao, Dezun, Wenbin Cai, & Lingli Cui. (2025). Multi-perception graph convolutional tree-embedded network for aero-engine bearing health monitoring with unbalanced data. Reliability Engineering & System Safety. 257. 110888–110888. 33 indexed citations breakdown →
2.
Liu, Dongdong, et al.. (2025). Dual graph driven-consistent representation learning method for semi-supervised fault diagnosis of rotating machinery. Advanced Engineering Informatics. 65. 103274–103274. 4 indexed citations
3.
Liu, Dongdong, et al.. (2025). A temporal-spatial multi-order weighted graph convolution network with refined feature topology graph for imbalance fault diagnosis of rotating machinery. Reliability Engineering & System Safety. 257. 110830–110830. 11 indexed citations
4.
5.
Zhao, Dezun, Honghao Wang, & Lingli Cui. (2024). Frequency-chirprate synchrosqueezing-based scaling chirplet transform for wind turbine nonstationary fault feature time–frequency representation. Mechanical Systems and Signal Processing. 209. 111112–111112. 85 indexed citations breakdown →
6.
Cui, Lingli, et al.. (2024). Dictionary domain adaptation transformer for cross-machine fault diagnosis of rolling bearings. Engineering Applications of Artificial Intelligence. 138. 109261–109261. 10 indexed citations
7.
Shi, Mingkuan, et al.. (2024). Extended attention signal transformer with adaptive class imbalance loss for Long-tailed intelligent fault diagnosis of rotating machinery. Advanced Engineering Informatics. 60. 102436–102436. 29 indexed citations
8.
Zhao, Dezun, Wenbin Cai, & Lingli Cui. (2024). Adaptive thresholding and coordinate attention-based tree-inspired network for aero-engine bearing health monitoring under strong noise. Advanced Engineering Informatics. 61. 102559–102559. 65 indexed citations breakdown →
9.
Cui, Lingli, et al.. (2024). A novel weighted sparse classification framework with extended discriminative dictionary for data-driven bearing fault diagnosis. Mechanical Systems and Signal Processing. 222. 111777–111777. 20 indexed citations
10.
Cui, Lingli, et al.. (2024). Synchronous odd symmetric transform for rolling bearing fault diagnosis. Measurement. 226. 114184–114184. 11 indexed citations
11.
Liu, Dongdong, et al.. (2024). A novel generalized Vold-Kalman filtering for wind turbine fault diagnosis. Ocean Engineering. 308. 118317–118317. 3 indexed citations
12.
Zhao, Dezun, et al.. (2024). Generalized reassigning transform: Algorithm and applications. Reliability Engineering & System Safety. 255. 110677–110677. 21 indexed citations
13.
Zhao, Dezun, et al.. (2024). Local Optimal Scaling Chirplet Transform for Processing Nonstationary Mechanical Vibration Signals. IEEE Transactions on Instrumentation and Measurement. 73. 1–9. 3 indexed citations
14.
Cheng, Qiang, et al.. (2024). A Health Management Technology Based on PHM for Diagnosis, Prediction of Machine Tool Servo System Failures. Applied Sciences. 14(6). 2656–2656. 4 indexed citations
15.
Cui, Lingli, et al.. (2024). Improved Shift-Invariant Sparse Parsing of Mechanical Fault Based on Feature Atom. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 29 indexed citations
16.
Huang, Jinfeng, Lingli Cui, & Jianyu Zhang. (2023). Novel morphological scale difference filter with application in localization diagnosis of outer raceway defect in rolling bearings. Mechanism and Machine Theory. 184. 105288–105288. 38 indexed citations
17.
Cui, Lingli, et al.. (2023). A spectral coherence cyclic periodic index optimization-gram for bearing fault diagnosis. Measurement. 224. 113898–113898. 18 indexed citations
18.
Zhao, Dezun, et al.. (2023). Horizontal Reassigning Transform for Bearing Fault Impulses Characterizing. IEEE Sensors Journal. 24(2). 1837–1846. 12 indexed citations
19.
Cui, Lingli, et al.. (2015). Quantitative diagnosis of fault severity trend of rolling element bearings. Chinese Journal of Mechanical Engineering. 28(6). 1254–1260. 12 indexed citations
20.
Cui, Lingli. (2010). Fault pattern recognition technique for roller bearing acoustic emission based on harmonic wavelet packet and BP neural network. Zhendong yu chongji.

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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