Shulin Liu

1.6k total citations
87 papers, 1.2k citations indexed

About

Shulin Liu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Shulin Liu has authored 87 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Control and Systems Engineering, 35 papers in Mechanical Engineering and 19 papers in Mechanics of Materials. Recurrent topics in Shulin Liu's work include Machine Fault Diagnosis Techniques (29 papers), Gear and Bearing Dynamics Analysis (18 papers) and Fault Detection and Control Systems (16 papers). Shulin Liu is often cited by papers focused on Machine Fault Diagnosis Techniques (29 papers), Gear and Bearing Dynamics Analysis (18 papers) and Fault Detection and Control Systems (16 papers). Shulin Liu collaborates with scholars based in China, Germany and India. Shulin Liu's co-authors include Yuan Wei, Hongli Zhang, Dongfang Zhao, Xiaoyang Liu, Lu Wang, Xin Sun, Shungen Xiao, Jiawei Xiang, Zhonghua Miao and Tian Zhang and has published in prestigious journals such as Expert Systems with Applications, Sensors and Information Sciences.

In The Last Decade

Shulin Liu

77 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shulin Liu China 20 730 475 271 198 104 87 1.2k
Ansi Zhang China 15 701 1.0× 390 0.8× 211 0.8× 252 1.3× 86 0.8× 38 1.1k
Faisal Althobiani Saudi Arabia 14 497 0.7× 303 0.6× 221 0.8× 136 0.7× 160 1.5× 35 988
Viktor Slavkovikj Belgium 8 830 1.1× 596 1.3× 380 1.4× 216 1.1× 105 1.0× 10 1.4k
Wenguang Yang China 11 994 1.4× 639 1.3× 338 1.2× 254 1.3× 95 0.9× 22 1.3k
Yiwei Cheng China 16 1.3k 1.8× 774 1.6× 418 1.5× 196 1.0× 197 1.9× 46 1.8k
Weining Lu China 15 1.3k 1.8× 721 1.5× 355 1.3× 402 2.0× 133 1.3× 33 1.8k
Jianping Xuan China 21 894 1.2× 814 1.7× 275 1.0× 214 1.1× 192 1.8× 66 1.4k
Cheol Hong Kim South Korea 19 588 0.8× 427 0.9× 202 0.7× 110 0.6× 183 1.8× 108 1.2k
Zhinong Jiang China 22 1.1k 1.5× 819 1.7× 430 1.6× 87 0.4× 113 1.1× 78 1.5k
Mei Yuan China 11 666 0.9× 261 0.5× 185 0.7× 152 0.8× 140 1.3× 40 1.1k

Countries citing papers authored by Shulin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shulin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shulin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shulin Liu. A scholar is included among the top collaborators of Shulin 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 Shulin Liu. Shulin 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.
2.
Chen, Xinxin, et al.. (2024). Design of a Micro-Plant Factory Using a Validated CFD Model. Agriculture. 14(12). 2227–2227. 5 indexed citations
3.
Zhao, Dongfang, et al.. (2024). Subdomain adaptation joint attention network enabled two-stage strategy towards few-shot fault diagnosis of LRE turbopump. Advanced Engineering Informatics. 60. 102366–102366. 12 indexed citations
4.
Zhang, Tian, et al.. (2024). DeepSORT with siamese convolution autoencoder embedded for honey peach young fruit multiple object tracking. Computers and Electronics in Agriculture. 217. 108583–108583. 4 indexed citations
5.
Yan, Tianhong, et al.. (2024). Study on the Influence of Unsteady Cavitation on the Hydrodynamic Performance of Propeller. Iranian Journal of Science and Technology Transactions of Mechanical Engineering. 49(2). 589–604. 1 indexed citations
6.
Qiu, Qiang, et al.. (2024). Image segmentation method for metal coating peeling and corrosion based on improved U<sup>2</sup>-Net network. Journal of Applied Optics. 45(4). 759–767.
7.
Yi, Xiaojian, et al.. (2024). Acceleration model considering multi‐stress coupling effect and reliability modeling method based on nonlinear Wiener process. Quality and Reliability Engineering International. 40(6). 3055–3078. 20 indexed citations
8.
Liu, Xiaoyang, et al.. (2023). A transfer learning strategy based on numerical simulation driving 1D Cycle-GAN for bearing fault diagnosis. Information Sciences. 642. 119175–119175. 59 indexed citations
9.
Liu, Xiaoyang, et al.. (2023). A conflict evidence fusion method based on the composite discount factor and the game theory. Information Fusion. 94. 1–16. 30 indexed citations
10.
Wei, Yuan, et al.. (2023). A Novel Data Augmentation and Composite Multiscale Network for Mechanical Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 15 indexed citations
11.
Yi, Xiaojian, et al.. (2023). A new reliability analysis method for software‐intensive systems with degradation accumulation effect based on goal oriented methodology. Quality and Reliability Engineering International. 40(1). 236–260. 14 indexed citations
12.
Liu, Xiaoyang, et al.. (2022). A game theory enhanced domain adaptation network for mechanical fault diagnosis. Measurement Science and Technology. 33(11). 115501–115501. 6 indexed citations
13.
Wei, Yuan, et al.. (2021). Intelligent chatter detection for CNC machine based on RFE multi-feature selection strategy. Measurement Science and Technology. 32(9). 95904–95904. 16 indexed citations
14.
Zhao, Dongfang, Hongli Zhang, Shulin Liu, Yuan Wei, & Shungen Xiao. (2021). Deep Rational Attention Network With Threshold Strategy Embedded for Mechanical Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 70. 1–15. 33 indexed citations
15.
Zhao, Dongfang, Shulin Liu, Hongli Zhang, et al.. (2021). Intelligent Fault Diagnosis of Reciprocating Compressor Based on Attention Mechanism Assisted Convolutional Neural Network Via Vibration Signal Rearrangement. Arabian Journal for Science and Engineering. 46(8). 7827–7840. 12 indexed citations
16.
Zhao, Dongfang, et al.. (2020). Dense multi-scale entropy and it’s application in mechanical fault diagnosis. Measurement Science and Technology. 31(12). 125008–125008. 7 indexed citations
17.
Zhao, Dongfang, Shulin Liu, Xin Sun, et al.. (2019). Enhanced data-driven fault diagnosis for machines with small and unbalanced data based on variational auto-encoder. Measurement Science and Technology. 31(3). 35004–35004. 108 indexed citations
18.
Liu, Shulin, et al.. (2015). Rolling bearing feature frequency extraction using extreme average envelope decomposition. Chinese Journal of Mechanical Engineering. 29(5). 1029–1036. 5 indexed citations
19.
Wang, Bo, Shulin Liu, Hongli Zhang, & Chao Jiang. (2014). Fault diagnosis of rolling bearing based on relevance vector machine and kernel principal component analysis. Journal of Vibroengineering. 16(1). 57–69. 10 indexed citations
20.
Liu, Shulin, et al.. (2014). A method of fault diagnosis for rolling element bearings based on non-parametric atom matching. Journal of Vibroengineering. 16(7). 3317–3330. 2 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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