W.Y. Liu

1.4k citations
33 papers · 1.1k · 1 hit paper · h-index 14

Impact in

Papers in

Co-authors
Jian Han (8 shared papers)Baoping Tang (3 shared papers)Xiangning Lu (3 shared papers)Ningning Hu (1 shared paper)Yan Han (1 shared paper)Ziqian Kong (1 shared paper)Lei Deng (1 shared paper)Qinwu Gao (3 shared papers)
Journals
Renewable Energy (5 papers)Measurement (5 papers)Neural Computing and Applications (3 papers)Measurement Science and Technology (2 papers)Engineering Structures (1 paper)
Partner nations
ChinaUnited StatesSaudi Arabia

In The Last Decade

W.Y. Liu

30 papers receiving 1.1k citations

W.Y. Liu's Hit Papers

Condition monitoring of wind turbines based on spatio-temporal fusion of SCADA data by convolutional neural networks and gated recurrent units 2019 · 198 citations
1980+2+4Years since publication50100150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

  • it has ≥500 total citations;
  • it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
  • it reaches the top citation threshold in at least one of its specific research topics.
  1. 2019 Renewable Energy

Peers

W.Y. Liu
Comparison fields: 5 of 75
  • Control and Systems Engineering 767
  • Mechanical Engineering 403
  • Civil and Structural Engineering 225
  • Safety, Risk, Reliability and Quality 77
  • Mechanics of Materials 208
Replace Jan Helsen with:
Jan Helsen Belgium
Gabriel Ekemb Canada
Zafar Hameed Norway
Amir R. Nejad Norway
Yang Zheng China
Yingning Qiu China
Mohand Ouhrouche Canada
Wei Teng China
W.Y. Liu relative to Jan Helsen Belgium Jan Helsen's profile →
Citations per field
00.5×1.5×1.9×
Jan Helsen · 1×
Citations per year

Countries citing papers authored by W.Y. Liu

Since Specialization
Citations

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

Fields of papers citing papers by W.Y. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.Y. Liu. 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 W.Y. Liu. The network helps show where W.Y. Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside W.Y. Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with W.Y. Liu Line = papers co-authored together W.Y. Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review
Renewable and Sustainable Energy Reviews ·W.Y. Liu, Baoping Tang, Jian Han, Xiangning Lu, Ningning Hu, Zizhao He
2015243
2
Condition monitoring of wind turbines based on spatio-temporal fusion of SCADA data by convolutional neural networks and gated recurrent units
Renewable Energy ·Ziqian Kong, Baoping Tang, Lei Deng, W.Y. Liu, Yan Han
Hit paper breakdown →		2019198
3
A new wind turbine fault diagnosis method based on the local mean decomposition
Renewable Energy ·W.Y. Liu, Wanwan Zhang, Jian Han, G.F. Wang
2012125
4
A review on wind turbine noise mechanism and de-noising techniques
Renewable Energy ·W.Y. Liu
201790
5
A novel wind turbine fault diagnosis method based on intergral extension load mean decomposition multiscale entropy and least squares support vector machine
Renewable Energy ·Qinwu Gao, W.Y. Liu, Baoping Tang, Guangwei Li
201779
6
A novel wind turbine bearing fault diagnosis method based on Integral Extension LMD
Measurement ·W.Y. Liu, Qinwu Gao, Guiming Ye, Ran Ma, Xiangning Lu, Jian Han
201557
7
Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks
Jianjun Wei, Yue Liu, Xin Huang, Xin Zhang, W.Y. Liu, Yan Xu
202448
8
The vibration analysis of wind turbine blade–cabin–tower coupling system
Engineering Structures ·W.Y. Liu
201337
9
A novel wind turbine health condition monitoring method based on composite variational mode entropy and weighted distribution adaptation
Renewable Energy ·He Ren, W.Y. Liu, Mengchen Shan, Xin Wang, Zhengfeng Wang
202031
10
A novel ball bearing fault diagnosis approach based on auto term window method
Measurement ·W.Y. Liu, Jian Han, Jing Jiang
201321
11
A novel wind turbine fault diagnosis based on deep transfer learning of improved residual network and multi-target data
Measurement Science and Technology ·Yan Zhang, W.Y. Liu, Heng Gu, Arinayo Alexisa, Xiangyu Jiang
202219
12
A novel fault diagnosis method of wind turbine bearings based on compressed sensing and AlexNet
Measurement Science and Technology ·Heng Gu, W.Y. Liu, Yang Zhang, Xiangyu Jiang
202218
13
A novel wind turbine fault diagnosis method based on compressive sensing and lightweight SqueezeNet model
Expert Systems with Applications ·Tongming Jian, Jianbin Cao, W.Y. Liu, Guohui Xu, Jiahao Zhong
202418
14
Intelligent fault diagnosis of wind turbines using multi-dimensional kernel domain spectrum technique
Measurement ·W.Y. Liu
201815
15
The optimal Mexican hat wavelet filter de-noising method based on cross-validation method
Neurocomputing ·W.Y. Liu, Jian Han
201212
16
Rolling Element Bearing Fault Recognition Approach Based on Fuzzy Clustering Bispectrum Estimation
Shock and Vibration ·W.Y. Liu, Jian Han
201311
17
Densely connected semi-Bayesian network for machinery fault diagnosis with non-ideal data
Mechanical Systems and Signal Processing ·W.Y. Liu, Jianbo Yu
202311
18
Experiment and performance analysis of the Northwind 100 wind turbine in CASE
Energy and Buildings ·W.Y. Liu, Jian Han, Xiangning Lu
201311
19
A novel wind turbine health condition monitoring method based on common features distribution adaptation
International Journal of Energy Research ·W.Y. Liu, He Ren
202010
20
A novel wind turbine weak feature extraction method based on Cross Genetic Algorithm optimal MHW
Measurement ·He Ren, W.Y. Liu, Yonghua Jiang, Xiuping Su
20179

About W.Y. Liu

W.Y. Liu is a scholar working on Control and Systems Engineering, Mechanical Engineering, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (25 papers), Structural Health Monitoring Techniques (11 papers), Gear and Bearing Dynamics Analysis (8 papers), Fault Detection and Control Systems (7 papers), Non-Destructive Testing Techniques (3 papers), Image and Signal Denoising Methods (3 papers), Structural Integrity and Reliability Analysis (2 papers) and Energy Load and Power Forecasting (2 papers). The work is most often cited by research in Control and Systems Engineering (767 citations), Mechanical Engineering (403 citations), Civil and Structural Engineering (225 citations), Safety, Risk, Reliability and Quality (77 citations) and Mechanics of Materials (208 citations). W.Y. Liu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Jian Han, Baoping Tang, Xiangning Lu, Ningning Hu, Yan Han, Ziqian Kong, Lei Deng, Qinwu Gao, He Ren and Yan Xu. Their work appears in journals such as Renewable Energy, Measurement, Neural Computing and Applications, Measurement Science and Technology and Engineering Structures.

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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