Lin Liang

1.5k total citations · 1 hit paper
65 papers, 1.2k citations indexed

About

Lin Liang is a scholar working on Mechanical Engineering, Control and Systems Engineering and Computational Mechanics. According to data from OpenAlex, Lin Liang has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Mechanical Engineering, 31 papers in Control and Systems Engineering and 9 papers in Computational Mechanics. Recurrent topics in Lin Liang's work include Machine Fault Diagnosis Techniques (28 papers), Gear and Bearing Dynamics Analysis (20 papers) and Advanced Measurement and Metrology Techniques (13 papers). Lin Liang is often cited by papers focused on Machine Fault Diagnosis Techniques (28 papers), Gear and Bearing Dynamics Analysis (20 papers) and Advanced Measurement and Metrology Techniques (13 papers). Lin Liang collaborates with scholars based in China, Netherlands and United Kingdom. Lin Liang's co-authors include Guanghua Xu, Yi Wang, Fei Liu, Xiaoguang Chen, Guanghua Xu, Qing Zhang, Jing Wang, Ailing Luo, Tangfei Tao and Qing Zhang and has published in prestigious journals such as Food Chemistry, IEEE Access and Sensors.

In The Last Decade

Lin Liang

60 papers receiving 1.2k citations

Hit Papers

How does government suppo... 2023 2026 2024 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Liang China 16 645 570 179 104 104 65 1.2k
Ming Zhang China 19 747 1.2× 564 1.0× 229 1.3× 110 1.1× 72 0.7× 164 1.7k
Wasim Ahmad India 7 368 0.6× 237 0.4× 128 0.7× 34 0.3× 52 0.5× 22 879
Shuai Tan China 22 1.1k 1.8× 748 1.3× 65 0.4× 38 0.4× 110 1.1× 108 1.6k
Van Tung Tran South Korea 13 937 1.5× 491 0.9× 365 2.0× 95 0.9× 41 0.4× 31 1.3k
Chaoqun Duan China 18 322 0.5× 333 0.6× 100 0.6× 91 0.9× 167 1.6× 60 1.4k
Jinsong Zhao China 24 1.8k 2.8× 907 1.6× 65 0.4× 63 0.6× 103 1.0× 69 2.5k
Shing I. Chang United States 23 286 0.4× 349 0.6× 65 0.4× 52 0.5× 60 0.6× 60 1.6k
Moustafa Elshafei Saudi Arabia 22 284 0.4× 183 0.3× 79 0.4× 61 0.6× 67 0.6× 84 1.3k
Ning Chen China 16 434 0.7× 217 0.4× 30 0.2× 33 0.3× 50 0.5× 125 1.1k

Countries citing papers authored by Lin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Lin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Liang. A scholar is included among the top collaborators of Lin 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 Lin Liang. Lin 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.
Zhou, Xingchen, Guixue Hou, Xin Wang, et al.. (2024). Metabolomic studies reveal and validate potential biomarkers of diabetic retinopathy in two Chinese datasets with type 2 diabetes: a cross-sectional study. Cardiovascular Diabetology. 23(1). 439–439. 3 indexed citations
2.
Liang, Lin, Chengxu Liu, & Junjing Wang. (2023). Periodicity measure of cyclo-stationary impulses based on low sparsity of Gini index and its application to bearing diagnosis. ISA Transactions. 138. 611–627. 20 indexed citations
3.
Liu, Fei, et al.. (2022). Measurement and evaluation of wheel profiles of a rail vehicle on an underfloor wheelset lathe. Measurement Science and Technology. 33(9). 95010–95010. 3 indexed citations
4.
Liang, Lin, et al.. (2021). Feature Extraction Using Sparse Kernel Non-Negative Matrix Factorization for Rolling Element Bearing Diagnosis. Sensors. 21(11). 3680–3680. 8 indexed citations
5.
Liu, Fei, et al.. (2020). Measurement and evaluation of cylindricity deviation in Cartesian coordinates. Measurement Science and Technology. 32(3). 35018–35018. 7 indexed citations
6.
Huang, Xin, Guangrui Wen, Lin Liang, Zhifen Zhang, & Yuanqiang Tan. (2019). Frequency Phase Space Empirical Wavelet Transform for Rolling Bearings Fault Diagnosis. IEEE Access. 7. 86306–86318. 25 indexed citations
7.
Liang, Lin, et al.. (2019). Application of Instantaneous Rotational Speed to Detect Gearbox Faults Based on Double Encoders. Chinese Journal of Mechanical Engineering. 32(1). 12 indexed citations
8.
9.
Chen, Longting, et al.. (2018). Learning Deep Representation for Blades Icing Fault Detection of Wind Turbines. 1–8. 14 indexed citations
10.
Liu, Fei, et al.. (2016). Least squares evaluations for form and profile errors of ellipse using coordinate data. Chinese Journal of Mechanical Engineering. 29(5). 1020–1028. 17 indexed citations
11.
Liang, Lin, et al.. (2016). Effect of ketamine combined with butorphanol on emergence agitation of postoperative patients with gastric cancer. Therapeutics and Clinical Risk Management. 12. 713–713. 8 indexed citations
12.
Liang, Lin, et al.. (2015). Manifold Learning with Self-Organizing Mapping for Feature Extraction of Nonlinear Faults in Rotating Machinery. Mathematical Problems in Engineering. 2015. 1–11. 3 indexed citations
13.
Xu, Guanghua, et al.. (2014). The Recovery of Weak Impulsive Signals Based on Stochastic Resonance and Moving Least Squares Fitting. Sensors. 14(8). 13692–13707. 11 indexed citations
14.
Liang, Lin, et al.. (2014). Feature extraction and recognition for rolling element bearing fault utilizing short-time Fourier transform and non-negative matrix factorization. Chinese Journal of Mechanical Engineering. 28(1). 96–105. 119 indexed citations
15.
Chen, Xiaoguang, et al.. (2013). Feature extraction of kernel regress reconstruction for fault diagnosis based on self-organizing manifold learning. Chinese Journal of Mechanical Engineering. 26(5). 1041–1049. 7 indexed citations
16.
Li, Jianglong, Guanghua Xu, Lin Liang, Guoqiang Zhao, & Tangfei Tao. (2012). A quantitative diagnosis method for rolling element bearing using signal complexity and morphology filtering. Journal of Vibroengineering. 14(4). 1862–1875. 14 indexed citations
17.
Zhang, Yizhuo, Guanghua Xu, Jing Wang, & Lin Liang. (2010). An automatic patient-specific seizure onset detection method in intracranial EEG based on incremental nonlinear dimensionalityreduction. Computers in Biology and Medicine. 40(11-12). 889–899. 22 indexed citations
18.
Wang, Jing, Guanghua Xu, Qing Zhang, & Lin Liang. (2008). Application of improved morphological filter to the extraction of impulsive attenuation signals. Mechanical Systems and Signal Processing. 23(1). 236–245. 80 indexed citations
19.
Liang, Lin & Guanghua Xu. (2006). Reduction of rough set attribute based on immune clone selection. Frontiers of Mechanical Engineering in China. 1(4). 413–417. 1 indexed citations
20.
Xu, Guanghua, et al.. (2006). Investigation of Fast Algorithm for Correlation Integral Method. 121. 755–760.

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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