W.Y. Liu

1.3k total citations · 1 hit paper
32 papers, 1.1k citations indexed

About

W.Y. Liu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, W.Y. Liu has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Control and Systems Engineering, 13 papers in Mechanical Engineering and 11 papers in Civil and Structural Engineering. Recurrent topics in W.Y. Liu's work include Machine Fault Diagnosis Techniques (24 papers), Structural Health Monitoring Techniques (11 papers) and Gear and Bearing Dynamics Analysis (8 papers). W.Y. Liu is often cited by papers focused on Machine Fault Diagnosis Techniques (24 papers), Structural Health Monitoring Techniques (11 papers) and Gear and Bearing Dynamics Analysis (8 papers). W.Y. Liu collaborates with scholars based in China, United States and Egypt. W.Y. Liu's co-authors include Jian Han, Baoping Tang, Xiangning Lu, Ningning Hu, Yan Han, Lei Deng, Ziqian Kong, Qinwu Gao, He Ren and Xin Huang and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Expert Systems with Applications and Renewable Energy.

In The Last Decade

W.Y. Liu

29 papers receiving 1.0k citations

Hit Papers

Condition monitoring of wind turbines based on spatio-tem... 2019 2026 2021 2023 2019 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. Condition monitoring of wind turbines based on spatio-temporal fusion of SCADA data by convolutional neural networks and gated recurrent units
    2019 193 citations Ziqian Kong, Baoping Tang et al. Renewable Energy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W.Y. Liu China 14 753 396 223 207 206 32 1.1k
Jan Helsen Belgium 17 804 1.1× 730 1.8× 279 1.3× 231 1.1× 188 0.9× 113 1.3k
Xin Wu China 11 580 0.8× 271 0.7× 165 0.7× 98 0.5× 283 1.4× 36 927
Zafar Hameed Norway 6 694 0.9× 309 0.8× 280 1.3× 133 0.6× 188 0.9× 7 1.0k
Gabriel Ekemb Canada 10 432 0.6× 219 0.6× 179 0.8× 88 0.4× 330 1.6× 18 821
Yingning Qiu China 20 857 1.1× 361 0.9× 235 1.1× 158 0.8× 409 2.0× 46 1.5k
Dezun Zhao China 21 1.1k 1.5× 692 1.7× 163 0.7× 336 1.6× 108 0.5× 47 1.4k
Dengji Zhou China 21 498 0.7× 316 0.8× 78 0.3× 245 1.2× 407 2.0× 93 1.5k
Yang Zheng China 21 1.1k 1.5× 504 1.3× 252 1.1× 455 2.2× 706 3.4× 74 1.8k
Jacek Wodecki Poland 18 397 0.5× 463 1.2× 184 0.8× 127 0.6× 86 0.4× 68 845

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-authorship network of co-authors of W.Y. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of W.Y. Liu. A scholar is included among the top collaborators of W.Y. Liu 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 W.Y. Liu. W.Y. Liu 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.
Meng, Delong, Yu Liu, Teng Zhang, et al.. (2025). Natural weathering and plant regeneration accelerate soil restoration of fine particle mine tailings. Journal of Environmental Sciences. 163. 388–398.
2.
Parsons, George R., W.Y. Liu, & Tatheer Zahra. (2025). A novel wind turbine fault diagnosis model based on pre-trained YOLOv8 deep transfer learning. Engineering Research Express. 7(2). 25285–25285. 1 indexed citations
3.
Liu, W.Y., et al.. (2025). Anovel fault diagnosis method for rolling bearing based on SGMD and improved CNN-LSTM. Engineering Research Express. 7(3). 35567–35567.
4.
5.
6.
Liu, W.Y., et al.. (2024). A novel wind turbine fault diagnosis method based on compressive sensing and lightweight SqueezeNet model. Expert Systems with Applications. 260. 125440–125440. 15 indexed citations
7.
8.
Liu, W.Y., et al.. (2022). A novel wind turbine fault diagnosis based on deep transfer learning of improved residual network and multi-target data. Measurement Science and Technology. 33(9). 95007–95007. 18 indexed citations
9.
Liu, W.Y., et al.. (2022). A novel fault diagnosis method of wind turbine bearings based on compressed sensing and AlexNet. Measurement Science and Technology. 33(11). 115011–115011. 18 indexed citations
10.
11.
Kong, Ziqian, Baoping Tang, Lei Deng, W.Y. Liu, & Yan Han. (2019). Condition monitoring of wind turbines based on spatio-temporal fusion of SCADA data by convolutional neural networks and gated recurrent units. Renewable Energy. 146. 760–768. 193 indexed citations breakdown →
12.
Liu, W.Y.. (2018). Intelligent fault diagnosis of wind turbines using multi-dimensional kernel domain spectrum technique. Measurement. 133. 303–309. 15 indexed citations
13.
Ren, He, et al.. (2017). A novel wind turbine weak feature extraction method based on Cross Genetic Algorithm optimal MHW. Measurement. 109. 242–246. 9 indexed citations
14.
15.
Liu, W.Y., et al.. (2015). The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review. Renewable and Sustainable Energy Reviews. 44. 466–472. 240 indexed citations
16.
Liu, W.Y.. (2013). The vibration analysis of wind turbine blade–cabin–tower coupling system. Engineering Structures. 56. 954–957. 35 indexed citations
17.
Liu, W.Y.. (2013). Auto term window method and its parameter selection. Measurement. 46(9). 3113–3118. 4 indexed citations
18.
Liu, W.Y., Jian Han, & Jing Jiang. (2013). A novel ball bearing fault diagnosis approach based on auto term window method. Measurement. 46(10). 4032–4037. 21 indexed citations
19.
Liu, W.Y. & Jian Han. (2012). The optimal Mexican hat wavelet filter de-noising method based on cross-validation method. Neurocomputing. 108. 31–35. 12 indexed citations
20.
Liu, W.Y. & Jian Han. (2012). A fuzzy clustering-based binary threshold bispectrum estimation approach. Neural Computing and Applications. 21(S1). 385–392. 6 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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